KR102595210B1 - Wireless communication apparatus that selects the optimal antenna to be used for wireless communication among multiple antennas and operating method thereof - Google Patents

Abstract

Disclosed are a wireless communication device and an operating method thereof. The present invention provides a wireless communication device which selects an optimal antenna to be used for wireless communication among multiple antennas and an operating method thereof, thereby supporting optimal signal transmission and reception performance of the wireless communication device.

Description

A wireless communication device for selecting the optimal antenna to be used for wireless communication among a plurality of antennas and a method of operating the same

The present invention relates to a wireless communication device and a method of operating the same for selecting an optimal antenna to be used for wireless communication among a plurality of antennas.

Recently, as the demand for IoT equipment and portable terminal devices increases day by day, the use of wireless communication devices such as wireless router devices and wireless repeaters to enable network access to these devices is increasing.

In this regard, recently, multiple-antenna technology (MIMO, Multiple-Input and Multiple-Output), which performs communication by mounting multiple antennas in a wireless communication device, has been mainly used. This multiple antenna technology enables more comfortable wireless communication in that it can increase communication capacity.

Since the signal transmission and reception performance of the antenna mounted on such a wireless communication device may change due to changes in the channel environment, etc., research is needed on techniques to maintain the antenna's performance in an optimal state. .

In this regard, a plurality of antennas are mounted on a wireless communication device, the wireless signal reception performance of the plurality of antennas is measured, and antennas with superior performance among the plurality of antennas are selected to participate in multi-antenna wireless communication. After selection, the introduction of a method of performing wireless communication using the selected antennas can be considered.

Specifically, if the wireless communication device is a device that performs multi-antenna wireless communication using two antennas, two or more plural antennas are mounted on the wireless communication device, and the wireless signal reception performance among the plurality of antennas is After selecting these two excellent antennas, one can consider introducing an antenna selection technique that allows multi-antenna wireless communication to be performed through the selected antennas.

The present invention seeks to support a wireless communication device that selects the optimal antenna to be used for wireless communication among a plurality of antennas and a method of operating the same, so that the signal transmission and reception performance of the wireless communication device can be maintained at an optimal state.

A wireless communication device for selecting the optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention generates an antenna selection event for selecting an antenna to be used for wireless communication at a preset antenna selection cycle interval. Antenna selection event generation unit, when the antenna selection event occurs, n is the reception sensitivity of the wireless signal received through each of the plurality of antennas mounted on the wireless communication device at a preset reception sensitivity measurement cycle interval (n is A reception sensitivity measurement value generator that generates n reception sensitivity measurement values for each of the plurality of antennas by measuring continuously (a natural number of 2 or more), n reception sensitivity measurement values for each of the plurality of antennas. When generated, for each of the plurality of antennas, a score is calculated to determine the reception performance for a wireless signal of each antenna based on n reception sensitivity measurement values for each antenna, and then the plurality of antennas a selection unit that selects k antennas (k is a natural number of 2 or more) in order of increasing score; and, when the k antennas are selected, wireless communication is possible through the k antennas among the plurality of antennas. It includes a switching unit that performs antenna switching.

In addition, according to an embodiment of the present invention, a method of operating a wireless communication device for selecting an optimal antenna to be used for wireless communication among a plurality of antennas includes selecting an antenna to be used for wireless communication at a preset antenna selection cycle interval. Generating an antenna selection event, when the antenna selection event occurs, the reception sensitivity of the wireless signal received through each of the plurality of antennas mounted on the wireless communication device is n( generating n received sensitivity measurement values for each of the plurality of antennas by continuously measuring (n is a natural number of 2 or more); once n received sensitivity measurement values for each of the plurality of antennas are generated, For each of the plurality of antennas, a score for determining the reception performance of a wireless signal of each antenna is calculated based on n reception sensitivity measurement values for each antenna, and then the score among the plurality of antennas is calculated. Selecting k antennas (k is a natural number of 2 or more) in descending order, and when the k antennas are selected, performing antenna switching to enable wireless communication through the k antennas among the plurality of antennas. It includes steps to:

The present invention provides a wireless communication device that selects the optimal antenna to be used for wireless communication among a plurality of antennas and a method of operating the same, thereby supporting optimal signal transmission and reception performance of the wireless communication device.

FIG. 1 is a diagram illustrating the structure of a wireless communication device that selects the optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention.
Figure 2 is a flow chart illustrating a method of operating a wireless communication device for selecting an optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the attached drawings. This description is not intended to limit the present invention to specific embodiments, but should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. In describing each drawing, similar reference numerals are used for similar components, and unless otherwise defined, all terms used in this specification, including technical or scientific terms, are within the scope of common knowledge in the technical field to which the present invention pertains. It has the same meaning as generally understood by those who have it.

In this document, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components, unless specifically stated to the contrary. Additionally, in various embodiments of the present invention, each component, functional block, or means may be composed of one or more subcomponents, and the electrical, electronic, and mechanical functions performed by each component may be electronic. It may be implemented with various known elements or mechanical elements such as circuits, integrated circuits, and ASICs (Application Specific Integrated Circuits), and may be implemented separately or by integrating two or more into one.

Meanwhile, the blocks in the attached block diagram or the steps in the flow chart are computer program instructions that are mounted on the processor or memory of equipment capable of data processing, such as general-purpose computers, special-purpose computers, portable laptop computers, and network computers, and perform designated functions. It can be interpreted to mean. Because these computer program instructions can be stored in a memory provided in a computer device or in a computer-readable memory, the functions described in the blocks of a block diagram or the steps of a flow diagram can be produced as a manufactured product containing instruction means to perform them. It could be. In addition, each block or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative embodiments, it is possible for functions mentioned in blocks or steps to be executed in a different order. For example, two blocks or steps shown in succession may be performed substantially simultaneously or in reverse order, and in some cases, some blocks or steps may be omitted.

FIG. 1 is a diagram illustrating the structure of a wireless communication device that selects the optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention.

Referring to FIG. 1, the wireless communication device 110 according to the present invention includes an antenna selection event generation unit 111, a reception sensitivity measurement value generation unit 112, a selection unit 113, and a switching unit 114. .

First, in the present invention, a plurality of antennas 101, 102, 103, 104, 105, and 106 are mounted on the wireless communication device 110, and at this time, a plurality of antennas 101, 102, 103, 104, 105 and 106 may be configured to be connected to or disconnected from the main board of the wireless communication device 110 by switching control of the switching unit 114. Through this, when k antennas (k is a natural number of 2 or more) are required for wireless communication, the wireless communication device 110 selects one of the plurality of antennas 101, 102, 103, 104, 105, and 106. After selecting k antennas to be used for wireless communication, wireless communication can be performed through the selected antennas.

In this situation, the antenna selection event generator 111 generates an antenna selection event for selecting an antenna to be used for wireless communication at a preset antenna selection cycle interval.

When the antenna selection event occurs, the reception sensitivity measurement value generator 112 generates a plurality of antennas 101, 102, 103, 104, and 105 mounted on the wireless communication device 110 at preset reception sensitivity measurement cycle intervals. , 106) by continuously measuring the reception sensitivity of the wireless signal received through each n times (n is a natural number of 2 or more), n for each of the plurality of antennas 101, 102, 103, 104, 105, and 106 Generates received sensitivity measurements.

Here, the reception sensitivity of the wireless signal means Received Signal Strength Indicator (RSSI), Signal to Interference & Noise Ratio (SINR), Bit Error Rate (BER), etc.

For example, the preset antenna selection period is '3 hours', the preset reception sensitivity measurement period is '1 second', and the plurality of antennas (101, 102, 103, 104, 105, 106) are called 'antenna 1'. (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), antenna 6 (106)', and assuming 'n=5', antenna selection event The generator 111 may generate an antenna selection event to select an antenna to be used for wireless communication at '3 hour' intervals, which is a preset antenna selection period.

At this time, when it is said that the antenna selection event is generated by the antenna selection event generation unit 111 at a specific point in time, the reception sensitivity measurement value generation unit 112 performs the preset reception sensitivity measurement cycle at intervals of '1 second', A plurality of antennas (101, 102, 103, 104, 105, 106) mounted on the wireless communication device 110, ‘antenna 1 (101), antenna 2 (102), antenna 3 (103), and antenna 4 (104). ), Antenna 5 (105), and Antenna 6 (106) by measuring the reception sensitivity of the wireless signal received through each of 'Antenna 1 (101), Antenna 2 (102), and Antenna 3 (103) five times in succession. , five reception sensitivity measurement values can be generated for each of antenna 4 (104), antenna 5 (105), and antenna 6 (106).

When n reception sensitivity measurement values for each of the plurality of antennas 101, 102, 103, 104, 105, and 106 are generated, the selection unit 113 selects the plurality of antennas 101, 102, 103, 104, and 105. , 106), for each antenna, a score for determining the reception performance of the wireless signal of each antenna is calculated based on n reception sensitivity measurement values for each antenna, and then the plurality of antennas 101, 102, and 103 , 104, 105, 106), k antennas (k is a natural number of 2 or more) are selected in the order of the largest score.

At this time, according to an embodiment of the present invention, the selection unit 113 includes an outlier removal unit 115, a feature vector generation unit 116, a regression model generation unit 117, and a predicted reception sensitivity measurement value generation unit 118. ), a prediction vector generator 119, a calculation unit 120, and an antenna selection unit 121.

When n received sensitivity measurement values for each of the plurality of antennas 101, 102, 103, 104, 105, and 106 are generated, the outlier removal unit 115 performs , 105, 106) Outlier removal is performed on each n received sensitivity measurement values.

At this time, according to an embodiment of the present invention, the outlier removal unit 115 may include an quartile range generator 122, a boundary value generator 123, and a removal unit 124.

The interquartile range generator 122 generates, for each of the plurality of antennas 101, 102, 103, 104, 105, and 106, a first quartile and a third quartile for the absolute values of n received sensitivity measurement values of each antenna. After calculating the quartiles, calculating the difference between the third quartile and the first quartile to calculate the interquartile range (IQR, InterQuartile Range), a plurality of antennas 101, 102, 103, 104, 105 , 106) generate the corresponding interquartile range for each.

The boundary value generator 123 generates a first boundary value according to Equation 1 below for each of the plurality of antennas 101, 102, 103, 104, 105, and 106, based on the interquartile range of each antenna. By calculating the second boundary value according to Equation 2 below, the first boundary value and the second boundary value corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106 are generated.

Here, B1 is the first boundary value corresponding to one of the plurality of antennas (101, 102, 103, 104, 105, and 106), and Q1 refers to the first quartile for one of the antennas. And IQR means the interquartile range corresponding to one of the antennas.

Here, B2 is the second boundary value corresponding to one of the plurality of antennas (101, 102, 103, 104, 105, and 106), and Q2 refers to the third quartile for one of the antennas. And IQR means the interquartile range corresponding to one of the antennas.

For each of the plurality of antennas 101, 102, 103, 104, 105, and 106, the removal unit 124 determines a first boundary whose absolute value corresponds to each antenna among the n received sensitivity measurement values of each antenna. n received sensitivity measurement values for each of the plurality of antennas 101, 102, 103, 104, 105, and 106 by selecting received sensitivity measurement values that do not fall between the value and the second boundary value as outliers and removing them. Perform outlier removal for .

The feature vector generator 116 configures a vector having as components the residual received sensitivity measurement values for which outliers of each antenna have been removed for each of the plurality of antennas 101, 102, 103, 104, 105, and 106. , generate feature vectors corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106.

The regression model generator 117 performs a regression analysis on the change trend of the n reception sensitivity measurement values of each antenna for each of the plurality of antennas 101, 102, 103, 104, 105, and 106. By performing this, a regression model corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106 is created.

The predicted reception sensitivity measurement value generation unit 118 generates, for each of the plurality of antennas 101, 102, 103, 104, 105, and 106, each antenna at the reception sensitivity measurement period interval based on the regression model of each antenna. By calculating the predicted reception sensitivity measurement value when the reception sensitivity of the wireless signal received through the antenna is continuously measured n times, the corresponding Generate n predicted reception sensitivity measurement values.

The prediction vector generator 119 constructs a vector having n predicted reception sensitivity measurement values of each antenna as components for each of the plurality of antennas 101, 102, 103, 104, 105, and 106, thereby generating a plurality of A prediction vector corresponding to each of the antennas 101, 102, 103, 104, 105, and 106 is generated.

The calculation unit 120 concatenates the feature vector and prediction vector of each of the plurality of antennas 101, 102, 103, 104, 105, and 106, thereby After generating a concatenation vector corresponding to each of the antennas 103, 104, 105, and 106, the average of the components included in the concatenation vector corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106 is, It is calculated using the score corresponding to each antenna.

The antenna selection unit 121 selects the k antennas from among the plurality of antennas 101, 102, 103, 104, 105, and 106 in order of increasing score.

Hereinafter, the outlier removal unit 115, the feature vector generator 116, the regression model generator 117, the predicted received sensitivity measurement value generator 118, the prediction vector generator 119, the calculation unit 120, and The operation of the antenna selection unit 121 will be described in detail using an example.

First, as in the above-mentioned example, the reception sensitivity measurement period is '1 second', 'n=5', and 'antenna 1 (101)' generated by the reception sensitivity measurement value generator 112, antenna The five received sensitivity measurement values for each of antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106) are '(-90dBm, -91dBm, -89dBm, -88dBm, -89dBm), (-170dBm, -85dBm, -84dBm, -85dBm, -83dBm), (-79dBm, -80dBm, -10dBm, -78dBm, -77dBm), (-190dBm, -95dBm, -94dBm , -96dBm, -93dBm), (-82dBm, -80dBm, -81dBm, -3dBm, -84dBm), (-77dBm, -76dBm, -79dBm, -78dBm, -80dBm)', perform outlier removal The interquartile range generation unit 122 included in the unit 115 has antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6. (106)' For each, calculate the first quartile and third quartile of the absolute values of the five received sensitivity measurement values of each antenna, and then calculate the difference between the third quartile and the first quartile. By calculating the interquartile range, the antenna corresponding to each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is calculated. You can create quantile ranges.

In this regard, the details of how the interquartile range generator 122 generates the interquartile range for 'antenna 1 (101)' will be described in detail as follows. First, the five received sensitivity measurement values corresponding to 'antenna 1 (101)' are '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', and the five received sensitivity measurement values '-90dBm, Since the absolute values of -91dBm, -89dBm, -88dBm, -89dBm' are '90dBm, 91dBm, 89dBm, 88dBm, 89dBm', the interquartile range generator 122 generates the absolute values of each of the five received sensitivity measurement values. '90dBm, 91dBm, 89dBm, 88dBm, 89dBm' can be sorted in ascending order as '88dBm, 89dBm, 89dBm, 90dBm, 91dBm'. At this time, the quartile range generator 122 may calculate the first quartile as '89' and the third quartile as '90'. Then, the interquartile range generator 122 calculates '1dBm', which is the difference between '90dBm', which is the third quartile, and '89dBm', which is the first quartile, and generates '1dBm' corresponding to 'antenna 1 (101)'. It can be created as a quantile range. In this way, the interquartile range generator 122 also uses the remaining antennas ‘antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106). You can create quantile ranges.

In this way, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' are generated by the quartile range generator 122, respectively. As a result of generating the corresponding interquartile range, '1dBm, 1dBm, 2dBm, 2dBm, 2dBm, 2dBm', the boundary value generator 123 generates 'antenna 1 (101), antenna 2 ( 102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)', based on the interquartile range of each antenna, the first boundary according to Equation 1 above By calculating the value and the second boundary value according to Equation 2, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), antenna 6 ( 106)' A first boundary value and a second boundary value corresponding to each may be generated.

In this regard, the details of how the boundary value generator 123 generates the first boundary value and the second boundary value for 'antenna 1 (101)' are described in detail as follows. First, the interquartile range corresponding to 'Antenna 1(101)' is '1dBm', the first quartile for 'Antenna 1(101)' is '89dBm', and the Since the third quartile is '90dBm', the boundary value generator 123 sets the first boundary value according to Equation 1 to ' ', the second boundary value according to Equation 2 above is ' By calculating as ', the first boundary value and the second boundary value corresponding to 'antenna 1 (101)' can be generated. In this way, the boundary value generator 123 generates the first A boundary value and a second boundary value can be created.

In this way, each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is generated by the boundary value generator 123. As a result of generating the corresponding first and second boundary values, '(87.5dBm, 91.5dBm), (82.5dBm, 86.5dBm), (74dBm, 82dBm), (91dBm, 99dBm), (77dBm, 85dBm ), (74dBm, 82dBm)', the removal unit 124 performs 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), and antenna 5 ( 105), for each antenna 6 (106)', among the five received sensitivity measurement values of each antenna, a received sensitivity measurement value whose absolute value does not fall between the first boundary value and the second boundary value corresponding to each antenna is , by selecting them as outliers and performing removal, 5 each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' Outlier removal can be performed on the received sensitivity measurement values.

In this regard, the details of how the removal unit 124 removes outliers for the five received sensitivity measurement values of 'antenna 1 (101)' will be described in detail as follows. First, the five received sensitivity measurement values of 'Antenna 1 (101)' are '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', and the first boundary value corresponding to 'Antenna 1 (101)' and the second boundary values are '87.5dBm' and '91.5dBm', so the removal performing unit 124 receives the five received sensitivity measurement values of 'antenna 1 (101)', '-90dBm, -91dBm, -89dBm, - Among '88dBm, -89dBm', the received sensitivity measurement value whose absolute value does not fall between '87.5dBm', the first boundary value, and '91.5dBm', the second boundary value corresponding to each antenna, can be selected as an outlier and removed. there is. In relation to this, among the five reception sensitivity measurement values of 'antenna 1 (101)', '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', the absolute value is '87.5', which is the first boundary value corresponding to each antenna. Since there is no received sensitivity measurement value that does not fall between 'dBm' and the second boundary value '91.5dBm', the removal performing unit 124 selects the five received sensitivity measurement values of 'antenna 1 (101)', '- Outlier removal will not be performed for '90dBm, -91dBm, -89dBm, -88dBm, and -89dBm'. In this way, the removal performing unit 124 performs the removal of each antenna for the remaining antennas 'antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. Outlier removal can be performed on five received sensitivity measurement values.

In this way, each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is removed by the removal unit 124. As a result of outlier removal on the received sensitivity measurement values, '(-90dBm, -91dBm, -89dBm, -88dBm, -89dBm), (-85dBm, -84dBm, -85dBm, -83dBm), (-79dBm, -80dBm, -78dBm, -77dBm), (-95dBm, -94dBm, -96dBm, -93dBm), (-82dBm, -80dBm, -81dBm, -84dBm), (-77dBm, -76dBm, -79dBm, -78dBm , -80dBm)', the feature vector generator 116 generates 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), and antenna 5 (105). , for each of antenna 6 (106), by constructing a vector whose components are the residual reception sensitivity measurement values for which outlier removal of each antenna was performed, antenna 1 (101), antenna 2 (102), and antenna 3 (103) ), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' can generate feature vectors corresponding to each.

In this regard, the details of how the feature vector generator 116 generates a feature vector for 'antenna 1 (101)' are described in detail as follows. First, the remaining received sensitivity measurement values for which the outliers of 'antenna 1 (101)' were removed are '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', so the feature vector generator 116 is 'antenna 1 (101)'. Construct a vector whose components are '-90(dBm), -91(dBm), -89(dBm), -88(dBm), -89(dBm)', which are the remaining reception sensitivity measurement values of '1(101)'. By doing so, the feature vector corresponding to 'antenna 1 (101)' can be generated as '[-90 -91 -89 -88 -89]'. In this way, the feature vector generator 116 generates feature vectors for the remaining antennas 'antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. can be created.

In this way, each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is generated by the feature vector generator 116. As a result of generating corresponding feature vectors, '[-90 -91 -89 -88 -89], [-85 -84 -85 -83], [-79 -80 -78 -77], [-95 -94 -96 -93], [-82 -80 -81 -84], [-77 -76 -79 -78 -80]', the regression model generator 117 generates 'antenna 1 (101) ), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. By performing regression analysis, a regression model corresponding to each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is created. can be created.

In this regard, the details of how the regression model generator 117 generates a regression model for 'antenna 1 (101)' are described in detail as follows. First, since the five reception sensitivity measurement values of 'antenna 1 (101)' are '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', the regression model generator 117 generates 'antenna 1 (101)' By performing regression analysis on the change trend of the five reception sensitivity measurement values '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', the regression model corresponding to 'antenna 1 (101)' was 'regressed'. It can be created like ‘Model 1’. In this way, the regression model generator 117 creates regression models for the remaining antennas, 'antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. can be created.

In this way, each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is generated by the regression model generator 117. As a result of generating the corresponding regression model, if it is said to be generated as 'regression model 1, regression model 2, regression model 3, regression model 4, regression model 5, regression model 6', the predicted reception sensitivity measurement value generation unit (118 ) is the regression model of each antenna for each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. Based on 'regression model 1, regression model 2, regression model 3, regression model 4, regression model 5, and regression model 6', at intervals of '1 second', which is the reception sensitivity measurement period, the wireless signal received through each antenna By calculating the predicted reception sensitivity measurement value when measuring the reception sensitivity five times in succession, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105) ), five predicted reception sensitivity measurement values corresponding to each of antenna 6 (106)' can be generated.

Here, the predicted reception sensitivity measurement value generation unit 118 generates antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106). ' As a result of generating five predicted reception sensitivity measurement values corresponding to each, '(-88dBm, -89dBm, -87dBm, -86dBm, -87dBm), (-84dBm, -83dBm, -84dBm, -82dBm, -83dBm ), (-80dBm, -81dBm, -79dBm, -78dBm, -76dBm), (-92dBm, -91dBm, -93dBm, -90dBm, -87dBm), (-83dBm, -81dBm, -82dBm, -85dBm, - 84dBm), (-76dBm, -77dBm, -78dBm, -77dBm, -79dBm)', the prediction vector generator 119 generates 'antenna 1 (101), antenna 2 (102), and antenna 3. (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)', by constructing a vector with the five predicted reception sensitivity measurement values of each antenna as components, 'antenna 1 (101) ), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'.

In this regard, the details of how the prediction vector generator 119 generates a prediction vector for 'antenna 1 (101)' will be described in detail as follows. First, since the five predicted reception sensitivity measurement values of 'antenna 1 (101)' are '-88dBm, -89dBm, -87dBm, -86dBm, -87dBm', the prediction vector generator 119 predicts 'antenna 1 (101)' By constructing a vector with components '-88(dBm), -89(dBm), -87(dBm), -86(dBm), -87(dBm)', which are the five predicted reception sensitivity measurement values, The prediction vector corresponding to 'antenna 1 (101)' can be generated as '[-88 -89 -87 -86 -87]'. In this way, the prediction vector generator 119 generates prediction vectors for the remaining antennas 'antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. can be created.

In this way, each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is generated by the prediction vector generator 119. As a result, the corresponding prediction vectors are generated, '[-88 -89 -87 -86 -87], [-84 -83 -84 -82 -83], [-80 -81 -79 -78 -76], [ -92 -91 -93 -90 -87], [-83 -81 -82 -85 -84], [-76 -77 -78 -77 -79]', the calculation unit 120 For each of 'Antenna 1 (101), Antenna 2 (102), Antenna 3 (103), Antenna 4 (104), Antenna 5 (105), and Antenna 6 (106)', the feature vector and prediction vector of each antenna are By concatenating, concatenation vectors corresponding to each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' are generated. , the average of the components included in the concatenation vector corresponding to each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' can be calculated with the score corresponding to each antenna.

In this regard, if we explain in detail how the calculation unit 120 calculates the average of the components included in the concatenation vector corresponding to 'antenna 1 (101)' into a score corresponding to 'antenna 1 (101)', as follows: Same as First, the feature vector of 'Antenna 1(101)' is '[-90 -91 -89 -88 -89]', and the prediction vector of 'Antenna 1(101)' is '[-88 -89 -87 -86 -87]', so the operation unit 120 uses '[-90 -91 -89 -88 -89]', the feature vector of 'antenna 1 (101)', and '[-88 -89 -87 -86', the prediction vector. By concatenating '-87]', the concatenation vector corresponding to 'antenna 1 (101)' can be created as '[-90 -91 -89 -88 -89 -88 -89 -87 -86 -87]'. there is. After that, the calculation unit 120 calculates the components included in '[-90 -91 -89 -88 -89 -88 -89 -87 -86 -87]', which is the concatenation vector corresponding to 'antenna 1 (101)'. The average can be calculated as '-88.4', and the calculated average, '-88.4 (points)', can be calculated as the score corresponding to 'antenna 1 (101)'. In this way, the calculation unit 120 can also calculate scores for the remaining antennas 'antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'. there is.

In this way, scores corresponding to each of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' are calculated by the calculation unit 120. If the calculation result is calculated as '-88.4 (point), -83.7 (point), -78.7 (point), -92.3 (point), -82.4 (point), -77.7 (point)', then the antenna The selection unit 121 selects k among 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' in the order of the largest score. There are several antennas to choose from.

If k is assumed to be '2', the antenna selection unit 121 selects 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), Among 'Antenna 6 (106)', two antennas can be selected in the order of the largest score, such as 'Antenna 6 (106)' and 'Antenna 3 (103)'.

When the k antennas are selected, the switching unit 114 performs antenna switching to enable wireless communication through the k antennas among the plurality of antennas 101, 102, 103, 104, 105, and 106. .

For example, if the two antennas are selected as 'antenna 6 (106), antenna 3 (103)' by the antenna selection unit 121, the switching unit 114 selects 'antenna 1 (101), antenna 2' (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)', through the two antennas 'antenna 6 (106) and antenna 3 (103)' Antenna switching can be performed to enable wireless communication.

Through this, the wireless communication device 110 can perform wireless communication based on the two antennas, 'antenna 6 (106) and antenna 3 (103)'.

According to one embodiment of the present invention, the wireless communication device 110 may further include a reception sensitivity notification message transmitter 125.

When the antenna switching to enable wireless communication through the k antennas is completed, the reception sensitivity notification message transmitter 125 transmits a signal corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106. Among the scores, the difference between the highest score and the lowest score is calculated, and it is checked whether the difference exceeds a preset standard value. If it is confirmed that the difference exceeds the standard value, the predetermined manager terminal 130 In response, a reception sensitivity notification message indicating that the reception sensitivity between the plurality of antennas 101, 102, 103, 104, 105, and 106 is unbalanced is generated and transmitted.

For example, let the preset reference value be '10', and as in the above-mentioned example, the antenna switching to enable wireless communication through the two antennas 'antenna 6 (106) and antenna 3 (103)' is completed. Let's assume.

Then, the reception sensitivity notification message transmitter 125 transmits 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' respectively. Among the corresponding scores '-88.4 (points), -83.7 (points), -78.7 (points), -92.3 (points), -82.4 (points), -77.7 (points)', the highest score is '-77.7'. (points)' and the lowest score, '-92.3 (points)', can be calculated as '14.6 (points)', and the difference, '14.6 (points)', exceeds the preset standard of '10'. You can check whether it is working or not.

At this time, as a result of the confirmation of the reception sensitivity notification message transmission unit 125, it is confirmed that the difference, '14.6 (points)', exceeds the standard value of '10', so the reception sensitivity notification message transmission unit 125 For the designated manager terminal 130, the reception sensitivity between 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' is A reception sensitivity notification message indicating imbalance can be created and transmitted.

Through this, the manager can take emergency measures for the imbalance in reception sensitivity by referring to the reception sensitivity notification message received on the manager terminal 130.

That is, the difference between the highest and lowest reception sensitivities of ‘antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)’ is Since large can be seen as meaning that the performance difference between each antenna is high despite the same environment, the reception sensitivity notification message transmission unit 125 transmits a notification message about this to the manager terminal 130, It can lead to checking the status of 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)'.

According to one embodiment of the present invention, the wireless communication device 110 may further include a reception status notification message transmitter 126.

When the antenna switching to enable wireless communication through the k antennas is completed, the reception status notification message transmitter 126 transmits a message to each of the plurality of antennas 101, 102, 103, 104, 105, and 106, By calculating the dispersion of n reception sensitivity measurement values for each antenna, a dispersion diagram corresponding to each of the plurality of antennas 101, 102, 103, 104, 105, and 106 is generated, and the plurality of antennas ( 101, 102, 103, 104, 105, 106), check whether there is an antenna whose dispersion does not fall within a preset threshold range, and if it is confirmed that at least one first antenna exists as a result of the check, the manager terminal For (130), a reception status notification message indicating that the wireless signal reception status of the at least one first antenna is unstable is generated and transmitted.

Here, variance or standard deviation may be used as the scatter plot.

For example, as in the above-mentioned example, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), and antenna 5 (105) generated by the reception sensitivity measurement value generator 112 ), the five reception sensitivity measurement values for each of antenna 6 (106) are '(-90dBm, -91dBm, -89dBm, -88dBm, -89dBm), (-170dBm, -85dBm, -84dBm, -85dBm, - 83dBm), (-79dBm, -80dBm, -10dBm, -78dBm, -77dBm), (-190dBm, -95dBm, -94dBm, -96dBm, -93dBm), (-82dBm, -80dBm, -81dBm, -3dBm, -84dBm), (-77dBm, -76dBm, -79dBm, -78dBm, -80dBm)', and enable wireless communication through the two antennas, 'Antenna 6 (106) and Antenna 3 (103)'. Assume that the antenna switching is completed.

Then, the reception status notification message transmission unit 126 transmits antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106), respectively. For , by calculating the scatter plot of the five received sensitivity measurement values for each antenna, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), A scatter plot corresponding to each antenna 6 (106)' can be generated.

In this regard, the details of how the reception status notification message transmission unit 126 generates a scatter diagram for 'antenna 1 (101)' will be described in detail as follows. First, since the five reception sensitivity measurement values of 'antenna 1 (101)' are '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', the reception status notification message transmitter 126 transmits 'antenna 1 (101)')''s five reception sensitivity measurement values, '-90dBm, -91dBm, -89dBm, -88dBm, -89dBm', by calculating the scatterplot as 'D ₁ ', the scatter plot corresponding to 'antenna 1 (101)' can be created. In this way, the reception status notification message transmitter 126 also sends information to the remaining antennas ‘antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106). You can create a scatter plot.

In this way, 'antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106)' are transmitted by the reception status notification message transmitter 126. As a result of generating the corresponding scatter plot, if it is said that 'D ₁ , D ₂ , D ₃ , D ₄ , D ₅ , D ₆ ' is generated, the reception status notification message transmission unit 126 transmits 'antenna 1 ( 101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), and antenna 6 (106), whether there is an antenna whose dispersion does not fall within the preset critical range. You can check it.

At this time, as a result of confirmation by the reception status notification message transmitter 126, antenna 1 (101), antenna 2 (102), antenna 3 (103), antenna 4 (104), antenna 5 (105), antenna 6 (106) )', if it is confirmed that there is at least one first antenna, such as 'antenna 2 (102) and antenna 4 (104)', as an antenna whose distribution does not fall within the critical range, the reception status notification message transmission unit ( 126) generates and transmits to the manager terminal 130 a reception status notification message notifying that the wireless signal reception status of the at least one first antenna, 'antenna 2 (102), antenna 4 (104)' is unstable. You can.

Through this, the manager refers to the reception status notification message received at the manager terminal 130 to determine the wireless signal reception status of the at least one first antenna, 'antenna 2 (102), antenna 4 (104)'. Instability can be perceived.

Here, the large dispersion of the five reception sensitivity measurement values measured through a specific antenna means that the reception sensitivity measurement values measured through that antenna are uneven, and it can be seen that the antenna does not show uniform performance. Therefore, the reception status notification message transmission unit 126 can induce the manager to check the status of the specific antenna by transmitting a notification message about this to the manager terminal 130.

Figure 2 is a flow chart illustrating a method of operating a wireless communication device for selecting an optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention.

In step S210, an antenna selection event for selecting an antenna to be used for wireless communication is generated at a preset antenna selection cycle interval.

In step S220, when the antenna selection event occurs, at a preset reception sensitivity measurement cycle interval, the reception sensitivity of the wireless signal received through each of the plurality of antennas mounted on the wireless communication device is n (n is 2). By continuously measuring the number of times (which is a natural number or more), n reception sensitivity measurement values for each of the plurality of antennas are generated.

In step S230, when n reception sensitivity measurement values for each of the plurality of antennas are generated, for each of the plurality of antennas, based on the n reception sensitivity measurement values for each antenna, After calculating a score to determine reception performance for a signal, k (k is a natural number of 2 or more) antennas are selected from among the plurality of antennas in order of increasing score.

In step S240, when the k antennas are selected, antenna switching is performed to enable wireless communication through the k antennas among the plurality of antennas.

At this time, according to an embodiment of the present invention, in step S230, when n received sensitivity measurement values for each of the plurality of antennas are generated, an outlier is determined for the n received sensitivity measurement values for each of the plurality of antennas. A step of performing removal, for each of the plurality of antennas, generating a feature vector corresponding to each of the plurality of antennas by constructing a vector having as components the residual received sensitivity measurement values for which the outlier removal of each antenna was performed. A step of generating a regression model corresponding to each of the plurality of antennas by performing a regression analysis on the change trend of n received sensitivity measurement values of each antenna for each of the plurality of antennas, the plurality of antennas For each of the antennas, based on the regression model of each antenna, the predicted received sensitivity measurement value when the received sensitivity of the wireless signal received through each antenna is continuously measured n times at the received sensitivity measurement period interval. Generating n predicted reception sensitivity measurement values corresponding to each of the plurality of antennas by calculating, for each of the plurality of antennas, a vector having as components the n predicted reception sensitivity measurement values of each antenna. generating a prediction vector corresponding to each of the plurality of antennas by configuring, for each of the plurality of antennas, concatenating the feature vector and the prediction vector of each antenna, thereby concatenating the prediction vector corresponding to each of the plurality of antennas. After generating a vector, calculating the average of the components included in the concatenation vector corresponding to each of the plurality of antennas into a score corresponding to each antenna, and calculating the k antennas in order of the greatest score among the plurality of antennas. It may include selecting antennas.

At this time, according to an embodiment of the present invention, the step of performing the outlier removal includes, for each of the plurality of antennas, the first quartile and the third quartile of the absolute values of the n received sensitivity measurement values of each antenna. After calculating , calculating the difference between the third quartile and the first quartile to calculate the interquartile range, thereby generating an interquartile range corresponding to each of the plurality of antennas, the plurality of antennas For each, a first boundary value according to Equation 1 and a second boundary value according to Equation 2 are calculated based on the interquartile range of each antenna, so that a first boundary value corresponding to each of the plurality of antennas is calculated. Generating a boundary value and a second boundary value, and for each of the plurality of antennas, among the n received sensitivity measurement values of each antenna, an absolute value is between the first boundary value and the second boundary value corresponding to each antenna. It may include performing outlier removal on the n received sensitivity measurement values of each of the plurality of antennas by selecting received sensitivity measurement values that do not belong to the received sensitivity measurement values as outliers and removing them.

In addition, according to an embodiment of the present invention, a method of operating the wireless communication device includes, when the antenna switching to enable wireless communication through the k antennas is completed, among the scores corresponding to each of the plurality of antennas, Calculate the difference between the highest score and the lowest score, check whether the difference exceeds a preset standard value, and as a result of the confirmation, if it is confirmed that the difference exceeds the standard value, the plurality of The step of generating and transmitting a reception sensitivity notification message notifying that reception sensitivity between antennas is imbalanced may be further included.

In addition, according to an embodiment of the present invention, the method of operating the wireless communication device is that when the antenna switching to enable wireless communication through the k antennas is completed, for each of the plurality of antennas, By calculating the dispersion diagram of n received sensitivity measurement values, a dispersion diagram corresponding to each of the plurality of antennas is generated, and whether there is an antenna whose dispersion degree does not fall within a preset threshold range among the plurality of antennas is checked. As a result, if it is confirmed that at least one first antenna exists, a reception status notification message is generated and transmitted to the manager terminal indicating that the wireless signal reception status of the at least one first antenna is unstable. Additional steps may be included.

Above, a method of operating a wireless communication device according to an embodiment of the present invention has been described with reference to FIG. 2. Here, the operating method of the wireless communication device according to an embodiment of the present invention may correspond to the configuration of the operation of the wireless communication device 110 described using FIG. 1, so a more detailed description thereof will be omitted. .

A method of operating a wireless communication device for selecting the optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention may be implemented as a computer program stored in a storage medium for execution through combination with a computer. .

In addition, the method of operating a wireless communication device for selecting the optimal antenna to be used for wireless communication among a plurality of antennas according to an embodiment of the present invention is implemented in the form of program instructions that can be executed through various computer means and is computer readable. Can be recorded on media. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

As described above, the present invention has been described with specific details such as specific components and limited embodiments and drawings, but this is only provided to facilitate a more general understanding of the present invention, and the present invention is not limited to the above embodiments. , those skilled in the art can make various modifications and variations from this description.

Accordingly, the spirit of the present invention should not be limited to the described embodiments, and the scope of the patent claims described below as well as all modifications that are equivalent or equivalent to the scope of this patent claim shall fall within the scope of the spirit of the present invention. .

110: Wireless communication device for selecting the optimal antenna to use for wireless communication among a plurality of antennas
111: antenna selection event generation unit 112: reception sensitivity measurement value generation unit
113: selection unit 114: switching unit
115: Outlier removal performing unit 116: Feature vector generating unit
117: Regression model generation unit 118: Predicted reception sensitivity measurement value generation unit
119: prediction vector generation unit 120: operation unit
121: Antenna selection unit 122: Interquartile range generation unit
123: Boundary value generation unit 124: Removal performance unit
125: Reception sensitivity notification message generation unit 126: Reception status notification message generation unit
130: Administrator terminal
101, 102, 103, 104, 105, 106: plural antennas

Claims (12)

In a wireless communication device for selecting an optimal antenna to be used for wireless communication among a plurality of antennas,
an antenna selection event generator that generates an antenna selection event for selecting an antenna to be used for wireless communication at a preset antenna selection cycle interval;
When the antenna selection event occurs, the reception sensitivity of the wireless signal received through each of the plurality of antennas mounted on the wireless communication device is measured n (n is a natural number of 2 or more) at a preset reception sensitivity measurement cycle interval. a reception sensitivity measurement value generator that generates n reception sensitivity measurement values for each of the plurality of antennas by continuously measuring;
When n reception sensitivity measurement values for each of the plurality of antennas are generated, for each of the plurality of antennas, based on the n reception sensitivity measurement values for each antenna, reception performance for a wireless signal of each antenna a selection unit that calculates a score to determine and then selects k antennas (k is a natural number of 2 or more) among the plurality of antennas in order of greatest score;
When the k antennas are selected, a switching unit that performs antenna switching to enable wireless communication through the k antennas among the plurality of antennas; and
When the antenna switching to enable wireless communication through the k antennas is completed, the difference between the highest score and the lowest score among the scores corresponding to each of the plurality of antennas is calculated, and the difference exceeds a preset standard value. If it is confirmed that the difference exceeds the standard value, a reception sensitivity notification message notifying that the reception sensitivity between the plurality of antennas is unbalanced is generated and transmitted to a pre-designated manager terminal. Reception sensitivity notification message transmission unit
A wireless communication device including a. According to paragraph 1,
The selection section
an outlier removal unit that performs outlier removal on the n received sensitivity measurement values for each of the plurality of antennas when n received sensitivity measurement values for each of the plurality of antennas are generated;
a feature vector generator that generates a feature vector corresponding to each of the plurality of antennas by configuring, for each of the plurality of antennas, a vector having as components residual reception sensitivity measurement values obtained by removing outliers of each antenna;
For each of the plurality of antennas, regression model generation is performed to generate a regression model corresponding to each of the plurality of antennas by performing a regression analysis on the change trend of the n reception sensitivity measurement values of each antenna. wealth;
For each of the plurality of antennas, based on the regression model of each antenna, the predicted reception sensitivity when the reception sensitivity of the wireless signal received through each antenna is continuously measured n times at the reception sensitivity measurement period interval. a predicted received sensitivity measurement value generator that generates n predicted received sensitivity measurement values corresponding to each of the plurality of antennas by calculating a measured value;
a prediction vector generator that generates a prediction vector corresponding to each of the plurality of antennas by configuring, for each of the plurality of antennas, a vector having n predicted reception sensitivity measurement values of each antenna as components;
For each of the plurality of antennas, a concatenation vector corresponding to each of the plurality of antennas is generated by concatenating the feature vector and the prediction vector of each antenna, and then the concatenation vector corresponding to each of the plurality of antennas is generated. an arithmetic unit that calculates the average of the components included in the vector into a score corresponding to each antenna; and
An antenna selection unit that selects the k antennas among the plurality of antennas in order of their scores.
A wireless communication device including a. According to paragraph 2,
The outlier removal unit
For each of the plurality of antennas, the first quartile and the third quartile of the absolute values of the n received sensitivity measurement values of each antenna are calculated, and then the difference between the third quartile and the first quartile is calculated. an interquartile range generator that generates an interquartile range corresponding to each of the plurality of antennas by calculating an interquartile range (IQR);
For each of the plurality of antennas, by calculating a first boundary value according to Equation 1 below and a second boundary value according to Equation 2 below, based on the interquartile range of each antenna, the plurality of antennas a boundary value generator that generates a first boundary value and a second boundary value corresponding to each of the boundary values; and
For each of the plurality of antennas, among the n reception sensitivity measurement values of each antenna, a reception sensitivity measurement value whose absolute value does not fall between the first boundary value and the second boundary value corresponding to each antenna is selected as an outlier. A removal performing unit that performs removal of outliers for n received sensitivity measurement values of each of the plurality of antennas by performing removal.
A wireless communication device including a.
[Equation 1]

Here, B1 is the first boundary value corresponding to one of the plurality of antennas, Q1 means the first quartile for one of the antennas, and IQR is the first boundary value corresponding to one of the antennas. Refers to the interquartile range.
[Equation 2]

Here, B2 is the second boundary value corresponding to any one of the plurality of antennas, Q2 means the third quartile for any one of the antennas, and IQR is the second boundary value corresponding to any one of the antennas. Refers to the interquartile range. delete According to paragraph 1,
When the antenna switching to enable wireless communication through the k antennas is completed, for each of the plurality of antennas, a dispersion of n reception sensitivity measurement values for each antenna is calculated, A scatter diagram corresponding to each of the antennas is generated, and among the plurality of antennas, it is checked whether there is an antenna whose scatter diagram does not fall within a preset threshold range. As a result of the confirmation, it is confirmed that at least one first antenna exists. When this happens, a reception status notification message transmitting unit that generates and transmits a reception status notification message notifying that the wireless signal reception status of the at least one first antenna is unstable to the manager terminal.
A wireless communication device further comprising: A method of operating a wireless communication device for selecting an optimal antenna to be used for wireless communication among a plurality of antennas, comprising:
Generating an antenna selection event for selecting an antenna to be used for wireless communication at a preset antenna selection cycle interval;
When the antenna selection event occurs, the reception sensitivity of the wireless signal received through each of the plurality of antennas mounted on the wireless communication device is measured n (n is a natural number of 2 or more) at a preset reception sensitivity measurement cycle interval. generating n received sensitivity measurement values for each of the plurality of antennas by continuously measuring;
When n reception sensitivity measurement values for each of the plurality of antennas are generated, for each of the plurality of antennas, based on the n reception sensitivity measurement values for each antenna, reception performance for a wireless signal of each antenna After calculating a score to determine , selecting k (k is a natural number of 2 or more) antennas from among the plurality of antennas in order of increasing score;
When the k antennas are selected, performing antenna switching to enable wireless communication through the k antennas among the plurality of antennas; and
When the antenna switching to enable wireless communication through the k antennas is completed, the difference between the highest score and the lowest score among the scores corresponding to each of the plurality of antennas is calculated, and the difference exceeds a preset standard value. If it is confirmed that the difference exceeds the standard value, a reception sensitivity notification message notifying that the reception sensitivity between the plurality of antennas is unbalanced is generated and transmitted to a pre-designated manager terminal. step
A method of operating a wireless communication device comprising: According to clause 6,
The above selection steps are
When n received sensitivity measurement values for each of the plurality of antennas are generated, performing outlier removal on the n received sensitivity measurement values for each of the plurality of antennas;
generating, for each of the plurality of antennas, a feature vector corresponding to each of the plurality of antennas by constructing a vector having as components residual reception sensitivity measurement values obtained by removing outliers of each antenna;
Generating a regression model corresponding to each of the plurality of antennas by performing a regression analysis on the change trend of n received sensitivity measurement values of each antenna for each of the plurality of antennas;
For each of the plurality of antennas, based on the regression model of each antenna, the predicted reception sensitivity when the reception sensitivity of the wireless signal received through each antenna is continuously measured n times at the reception sensitivity measurement period interval. generating n predicted reception sensitivity measurement values corresponding to each of the plurality of antennas by calculating measurement values;
For each of the plurality of antennas, generating a prediction vector corresponding to each of the plurality of antennas by constructing a vector having n predicted reception sensitivity measurement values of each antenna as components;
For each of the plurality of antennas, a concatenation vector corresponding to each of the plurality of antennas is generated by concatenating the feature vector and the prediction vector of each antenna, and then the concatenation vector corresponding to each of the plurality of antennas is generated. calculating the average of the components included in the vector as a score corresponding to each antenna; and
Selecting the k antennas from among the plurality of antennas in order of greatest score.
A method of operating a wireless communication device comprising: In clause 7,
The step of performing the outlier removal is
For each of the plurality of antennas, the first quartile and the third quartile of the absolute values of the n received sensitivity measurement values of each antenna are calculated, and then the difference between the third quartile and the first quartile is calculated. generating an interquartile range corresponding to each of the plurality of antennas by calculating an interquartile range (IQR);
For each of the plurality of antennas, by calculating a first boundary value according to Equation 1 below and a second boundary value according to Equation 2 below, based on the interquartile range of each antenna, the plurality of antennas generating a first boundary value and a second boundary value corresponding to each of them; and
For each of the plurality of antennas, among the n reception sensitivity measurement values of each antenna, a reception sensitivity measurement value whose absolute value does not fall between the first boundary value and the second boundary value corresponding to each antenna is selected as an outlier. performing outlier removal on the n received sensitivity measurement values of each of the plurality of antennas by performing removal.
A method of operating a wireless communication device comprising:
[Equation 1]

Here, B1 is the first boundary value corresponding to one of the plurality of antennas, Q1 means the first quartile for one of the antennas, and IQR is the first boundary value corresponding to one of the antennas. Refers to the interquartile range.
[Equation 2]

Here, B2 is the second boundary value corresponding to one of the plurality of antennas, Q2 means the third quartile for one of the antennas, and IQR is the second boundary value corresponding to one of the antennas. Refers to the interquartile range. delete According to clause 6,
When the antenna switching to enable wireless communication through the k antennas is completed, for each of the plurality of antennas, a dispersion of n reception sensitivity measurement values for each antenna is calculated, A scatter diagram corresponding to each of the antennas is generated, and among the plurality of antennas, it is checked whether there is an antenna whose scatter diagram does not fall within a preset threshold range. As a result of the confirmation, it is confirmed that at least one first antenna exists. If so, generating and transmitting to the manager terminal a reception status notification message notifying that the wireless signal reception status of the at least one first antenna is unstable.
A method of operating a wireless communication device further comprising: A computer-readable recording medium recording a computer program for executing the method of any one of claims 6, 7, 8, or 10 through combination with a computer. A computer program stored in a storage medium for executing the method of any one of claims 6, 7, 8, or 10 through combination with a computer.

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