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CN115764210A - Combiner applied to 5G frequency band - Google Patents

Combiner applied to 5G frequency band Download PDF

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CN115764210A
CN115764210A CN202211234514.4A CN202211234514A CN115764210A CN 115764210 A CN115764210 A CN 115764210A CN 202211234514 A CN202211234514 A CN 202211234514A CN 115764210 A CN115764210 A CN 115764210A
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尹桂芳
汪海港
马浩楠
张主霖
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Anhui Lanxun Electronic Technology Co ltd
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Abstract

The invention relates to a combiner, in particular to a combiner applied to a 5G frequency band, which comprises a controller, wherein the controller acquires time domain data of channel signals of each channel through a channel signal acquisition module, calculates the signal-to-noise ratio of the channel signals of each channel based on the time domain data of the channel signals through a signal-to-noise ratio calculation module, and calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio by using a weight coefficient calculation module; the controller calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio through the cross-correlation calculation module, calculates the time deviation value corresponding to each channel signal based on the cross-correlation result through the time deviation value calculation module, and calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result through the phase deviation value calculation module; the technical scheme provided by the invention can effectively overcome the defects that the performance of the combined signal is poor and the 5G signal and the 4G signal can not be effectively fused in the prior art.

Description

Combiner applied to 5G frequency band
Technical Field
The invention relates to a combiner, in particular to a combiner applied to a 5G frequency band.
Background
The 5G base station is a core device of the 5G network, provides wireless coverage and realizes wireless signal transmission between a wired communication network and a wireless terminal. The architecture and the form of the base station directly influence how the 5G network is deployed, and the higher the frequency is, the greater the attenuation in the signal propagation process is, and the higher the base station density of the 5G network is. By 5 months in 2022, nearly 160 ten thousand 5G base stations are built in China, and the country becomes the first country for building a 5G network based on an independent networking mode scale in the world.
As the standard of digital mobile communication is gradually developed from 2G to 5G, the speed, stability and low delay of mobile communication are greatly improved, and the used frequency is gradually expanded to a higher frequency band. In 5G devices, the frequencies used are largely divided into two parts, sub-6G (below 6 GHz) and millimeter wave (24 GHz-52 GHz). Therefore, the frequency span of the signals processed by the communication system in the base station is very large, in this scenario, the combiner for signal synthesis has great application value, and the device can make the signals of a plurality of different frequencies be collected on the same line to be transmitted through the antenna.
When signal combination is carried out, due to the fact that the signal-to-noise ratio of the multi-channel signals is large in difference, the multi-channel signals with the large signal-to-noise ratio difference are combined, the original high signal-to-noise ratio signals can be greatly influenced, and the multi-channel signals have certain deviation in time and phase, and therefore the performance of the signals after combination is poor. In addition, since 5G is still in the development stage, a considerable number of users still use the 4G network, and how to realize effective fusion of 5G signals and 4G signals is also an important problem to be solved by the current 5G base station.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a combiner applied to a 5G frequency band, which can effectively overcome the defects that the performance of signals after combination is poor and 5G signals and 4G signals cannot be effectively fused in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a combiner applied to a 5G frequency band comprises a controller, wherein the controller acquires time domain data of channel signals of each channel through a channel signal acquisition module, calculates the signal-to-noise ratio of the channel signals of each channel based on the time domain data of the channel signals through a signal-to-noise ratio calculation module, and calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio by using a weight coefficient calculation module;
the controller calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio through a cross-correlation calculation module, calculates the time deviation value corresponding to each channel signal based on the cross-correlation result through a time deviation value calculation module, calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result through a phase deviation value calculation module, corrects each channel signal through a channel signal correction module by using the time deviation value and the phase deviation value, and performs signal combination on each corrected channel signal based on the weight coefficient corresponding to each signal channel through a channel signal combination module;
the controller detects whether the current signal contains a 5G signal through the signal detection module, and switches the 4G link to perform data transmission by using the communication link switching module based on the detection result of the signal detection module.
Preferably, the signal-to-noise ratio calculating module calculates the signal-to-noise ratio of each channel signal based on the channel signal time domain data, and includes:
the signal-to-noise ratio calculation module calculates a second-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure BDA0003883099050000021
wherein M is i Second order matrix estimation value, S, representing ith channel signal time domain data i (N) is the nth complex signal of the ith channel signal, and N is the complex data length;
the signal-to-noise ratio calculation module calculates a fourth-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure BDA0003883099050000031
wherein M is i ' represents the time domain number of the ith channel signalAccording to the fourth order matrix estimation value;
and calculating the signal-to-noise ratio of each channel signal according to the calculated second-order matrix estimation value and the calculated fourth-order matrix estimation value.
Preferably, the weight coefficient calculation module calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio, and includes:
the maximum signal-to-noise ratio is sequentially subtracted from the signal-to-noise ratio of each channel signal, and the weight coefficient corresponding to each signal channel is calculated according to the signal-to-noise ratio difference by adopting the following formula:
Figure BDA0003883099050000032
wherein, ω is i Is the weighting coefficient, delta SNR, corresponding to the ith signal channel i Representing the signal-to-noise ratio difference between the signal-to-noise ratio of the ith channel signal and the maximum signal-to-noise ratio.
Preferably, the cross-correlation calculation module calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio, and includes:
selecting channel signal time domain data in a signal channel corresponding to the maximum signal-to-noise ratio as reference time domain data, and performing cross-correlation operation on the channel signal time domain data and the reference time domain data to obtain a cross-correlation result of the channel signals.
Preferably, the performing a cross-correlation operation on the time domain data of each channel signal and the reference time domain data to obtain a cross-correlation result of each channel signal includes:
performing Fourier transform on the time domain data of each channel signal and the reference time domain data to respectively obtain frequency domain data of each channel signal and reference frequency domain data corresponding to the reference time domain data;
performing conjugate operation on the reference frequency domain data, and sequentially performing multiplication operation on the reference frequency domain data and the frequency domain data of each channel of channel signals to obtain related data of each channel of channel signals;
and performing inverse Fourier transform on the related data of the channel signals of each path to obtain a cross-correlation result of the channel signals of each path.
Preferably, the time offset value calculating module calculates the time offset value corresponding to each channel signal based on the cross-correlation result, and includes:
and calculating the maximum value position of the modulus value of each channel signal according to the cross-correlation result of each channel signal, and subtracting the middle position of the data section from the maximum value position of the modulus value of each channel signal to obtain the time deviation value corresponding to each channel signal.
Preferably, the phase deviation value calculating module calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result, and includes:
and calculating a complex value corresponding to the maximum value position of the modulus of each channel signal according to the cross-correlation result of each channel signal, and performing constant modulus operation on the complex value corresponding to the maximum value of the modulus of each channel signal to obtain a phase deviation value corresponding to each channel signal.
Preferably, the signal detecting module detects whether the current signal includes a 5G signal, including:
receiving a mobile signal, determining the signal frequency of the mobile signal, and judging whether the mobile signal contains a 5G frequency band or not according to the signal frequency;
and judging whether a 5G link is included or not when the 5G frequency band is included, if the 5G link exists, the current signal includes a 5G signal, otherwise, the current signal does not include the 5G signal.
Preferably, the communication link switching module switches the 4G link for data transmission based on the detection result of the signal detection module, and includes:
if the current signal contains a 5G signal, the communication link switching module switches the 4G link to retransmit the data transmitted by the 5G link after the 5G link completes data transmission;
if the current signal does not contain the 5G signal, the communication link switching module switches the 5G link into the 4G link, splits the data to be transmitted according to the number of the 4G links, and completes data transmission through the 4G link.
Preferably, the communication link switching module switches the 5G link into the 4G link and splits the data to be transmitted according to the number of the 4G links, including:
switching the 5G link into 4G links with proper quantity according to the bandwidths of the 5G link and the 4G link;
setting a bandwidth threshold value for the 4G link, and matching the bandwidth of the 4G link with the bandwidth of the 5G link in proper quantity;
determining the maximum transmission data volume according to the bandwidth of the 4G link, determining the real-time transmission data volume according to the maximum transmission data volume, and equally dividing the real-time transmission data volume based on the number of the 4G links.
(III) advantageous effects
Compared with the prior art, the combiner applied to the 5G frequency band has the following beneficial effects:
1) The signal-to-noise ratio calculation module calculates the signal-to-noise ratio of each channel signal based on channel signal time domain data, the weight coefficient calculation module calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio, and the channel signal combination module combines the corrected channel signals based on the weight coefficient corresponding to each signal channel, so that the influence of the signal-to-noise ratio difference on the performance of the combined signals can be eliminated, and the performance of the combined signals can be effectively improved;
2) The cross-correlation calculation module calculates a cross-correlation result of each channel signal based on the signal-to-noise ratio, the time deviation value calculation module calculates a time deviation value corresponding to each channel signal based on the cross-correlation result, the phase deviation value calculation module calculates a phase deviation value corresponding to each channel signal based on the cross-correlation result, and the channel signal correction module corrects each channel signal by using the time deviation value and the phase deviation value, so that the influence of the difference in time and phase on the performance of the combined signals can be eliminated, and the performance of the combined signals can be effectively improved;
3) The signal detection module detects whether the current signal contains a 5G signal, and the communication link switching module switches the 4G link to perform data transmission based on the detection result of the signal detection module, so that effective fusion of the 5G signal and the 4G signal is realized, and a 5G base station is built while a user still using a 4G network is better considered.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic flow chart of combining multiple 5G channel signals according to the present invention;
fig. 3 is a schematic flow chart of the effective fusion of the 5G signal and the 4G signal in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
A combiner applied to a 5G frequency band comprises a controller, wherein the controller collects time domain data of channel signals of each channel through a channel signal collection module, calculates the signal-to-noise ratio of the channel signals of each channel based on the time domain data of the channel signals through a signal-to-noise ratio calculation module, and calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio by using a weight coefficient calculation module, as shown in figures 1 and 2.
(1) The signal-to-noise ratio calculation module calculates the signal-to-noise ratio of each channel signal based on channel signal time domain data, and comprises the following steps:
the signal-to-noise ratio calculation module calculates a second-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure BDA0003883099050000061
wherein M is i Second order matrix estimation value, S, representing ith channel signal time domain data i (N) is the nth complex signal of the ith channel signal, and N is the complex data length;
the signal-to-noise ratio calculation module calculates a fourth-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure BDA0003883099050000071
wherein M is i ' fourth order matrix estimation value representing the time domain data of the ith channel signal;
and calculating the signal-to-noise ratio of each channel signal according to the calculated second-order matrix estimation value and fourth-order matrix estimation value.
(2) The weight coefficient calculation module calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio, and comprises the following steps:
the maximum signal-to-noise ratio is sequentially subtracted from the signal-to-noise ratio of each channel signal, and the weight coefficient corresponding to each signal channel is calculated according to the signal-to-noise ratio difference by adopting the following formula:
Figure BDA0003883099050000072
wherein, ω is i Is the weighting coefficient corresponding to the ith signal channel, delta SNR i Representing the signal-to-noise ratio difference between the signal-to-noise ratio of the ith channel signal and the maximum signal-to-noise ratio.
According to the technical scheme, the signal-to-noise ratio calculation module calculates the signal-to-noise ratio of each channel signal based on channel signal time domain data, the weight coefficient calculation module calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio, and the channel signal combination module combines the corrected channel signals based on the weight coefficient corresponding to each signal channel, so that the influence of the signal-to-noise ratio difference on the performance of the combined signals can be eliminated, and the performance of the combined signals is effectively improved.
As shown in fig. 1 and fig. 2, the controller calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio by the cross-correlation calculation module, calculates the time offset value corresponding to each channel signal based on the cross-correlation result by the time offset value calculation module, calculates the phase offset value corresponding to each channel signal based on the cross-correlation result by the phase offset value calculation module, corrects each channel signal by the time offset value and the phase offset value by the channel signal correction module, and combines the corrected each channel signal based on the weight coefficient corresponding to each signal channel by the channel signal combination module.
(3) The cross-correlation calculation module calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio, and comprises the following steps:
selecting channel signal time domain data in a signal channel corresponding to the maximum signal-to-noise ratio as reference time domain data, and performing cross-correlation operation on the channel signal time domain data and the reference time domain data to obtain a cross-correlation result of the channel signals.
The method for performing cross-correlation operation on the time domain data of each channel signal and the reference time domain data to obtain a cross-correlation result of each channel signal includes:
performing Fourier transform on the time domain data of each channel signal and the reference time domain data to respectively obtain frequency domain data of each channel signal and reference frequency domain data corresponding to the reference time domain data;
performing conjugate operation on the reference frequency domain data, and sequentially performing multiplication operation on the reference frequency domain data and the frequency domain data of each channel of channel signals to obtain related data of each channel of channel signals;
and performing inverse Fourier transform on the relevant data of each channel signal to obtain a cross-correlation result of each channel signal.
(4) The time deviation value calculation module calculates the time deviation value corresponding to each channel signal based on the cross-correlation result, and the time deviation value calculation module comprises:
and calculating the maximum value position of the modulus value of each channel signal according to the cross-correlation result of each channel signal, and subtracting the middle position of the data section from the maximum value position of the modulus value of each channel signal to obtain the time deviation value corresponding to each channel signal.
(5) The phase deviation value calculation module calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result, and comprises:
and calculating a complex value corresponding to the maximum value position of the modulus of each channel signal according to the cross-correlation result of each channel signal, and performing constant modulus operation on the complex value corresponding to the maximum value of the modulus of each channel signal to obtain a phase deviation value corresponding to each channel signal.
According to the technical scheme, the cross-correlation calculation module calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio, the time deviation value calculation module calculates the time deviation value corresponding to each channel signal based on the cross-correlation result, the phase deviation value calculation module calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result, and the channel signal correction module corrects each channel signal by using the time deviation value and the phase deviation value, so that the influence of the difference in time and phase on the performance of the combined signal can be eliminated, and the performance of the combined signal can be effectively improved.
The controller detects whether the current signal contains a 5G signal through the signal detection module, and switches the 4G link to perform data transmission by using the communication link switching module based on the detection result of the signal detection module.
1) The signal detection module detects whether the current signal contains a 5G signal, and the method comprises the following steps:
receiving a mobile signal, determining the signal frequency of the mobile signal, and judging whether the mobile signal contains a 5G frequency band or not according to the signal frequency;
and judging whether a 5G link is included or not when the 5G frequency band is included, if the 5G link exists, the current signal includes a 5G signal, otherwise, the current signal does not include the 5G signal.
2) The communication link switching module switches the 4G link to perform data transmission based on the detection result of the signal detection module, and comprises:
if the current signal contains a 5G signal, the communication link switching module switches the 4G link to retransmit the data transmitted by the 5G link after the 5G link completes data transmission;
if the current signal does not contain the 5G signal, the communication link switching module switches the 5G link into the 4G link, splits the data to be transmitted according to the number of the 4G links, and completes data transmission through the 4G link.
The communication link switching module switches the 5G link into the 4G link and splits the data to be transmitted according to the number of the 4G links, and the method comprises the following steps:
switching the 5G link into 4G links with proper quantity according to the bandwidths of the 5G link and the 4G link;
setting a bandwidth threshold value for the 4G link, and matching the 4G link bandwidth with the 5G link bandwidth in a proper quantity;
determining the maximum transmission data volume according to the bandwidth of the 4G link, determining the real-time transmission data volume according to the maximum transmission data volume, and equally dividing the real-time transmission data volume based on the number of the 4G links.
According to the technical scheme, the signal detection module detects whether the current signal contains the 5G signal, the communication link switching module switches the 4G link to perform data transmission based on the detection result of the signal detection module, effective fusion of the 5G signal and the 4G signal is achieved, and a 5G base station is built while a user still using the 4G network is better considered.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. The utility model provides a be applied to combiner of 5G frequency channel which characterized in that: the system comprises a controller, wherein the controller acquires time domain data of each channel signal through a channel signal acquisition module, calculates the signal-to-noise ratio of each channel signal based on the channel signal time domain data through a signal-to-noise ratio calculation module, and calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio by using a weight coefficient calculation module;
the controller calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio through a cross-correlation calculation module, calculates the time deviation value corresponding to each channel signal based on the cross-correlation result through a time deviation value calculation module, calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result through a phase deviation value calculation module, corrects each channel signal through a channel signal correction module by using the time deviation value and the phase deviation value, and performs signal combination on each corrected channel signal based on the weight coefficient corresponding to each signal channel through a channel signal combination module;
the controller detects whether the current signal contains a 5G signal through the signal detection module, and switches the 4G link to perform data transmission by using the communication link switching module based on the detection result of the signal detection module.
2. The combiner applied to the 5G band according to claim 1, wherein: the signal-to-noise ratio calculation module calculates the signal-to-noise ratio of each channel signal based on channel signal time domain data, and comprises the following steps:
the signal-to-noise ratio calculation module calculates a second-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure FDA0003883099040000011
wherein M is i Second order matrix estimation value, S, representing ith channel signal time domain data i (N) is the nth complex signal of the ith channel signal, and N is the complex data length;
the signal-to-noise ratio calculation module calculates a fourth-order matrix estimation value of each channel signal by adopting the following formula based on channel signal time domain data:
Figure FDA0003883099040000021
wherein M is i ' fourth order matrix estimation value representing the time domain data of the ith channel signal;
and calculating the signal-to-noise ratio of each channel signal according to the calculated second-order matrix estimation value and the calculated fourth-order matrix estimation value.
3. The combiner applied to the 5G band according to claim 2, wherein: the weight coefficient calculation module calculates the weight coefficient corresponding to each signal channel based on the signal-to-noise ratio, and comprises:
the maximum signal-to-noise ratio is sequentially subtracted from the signal-to-noise ratio of each channel signal, and the weight coefficient corresponding to each signal channel is calculated according to the signal-to-noise ratio difference by adopting the following formula:
Figure FDA0003883099040000022
wherein, ω is i Is the weighting coefficient, delta SNR, corresponding to the ith signal channel i Representing the signal-to-noise ratio difference between the signal-to-noise ratio of the ith channel signal and the maximum signal-to-noise ratio.
4. The combiner applied to the 5G band according to claim 3, wherein: the cross-correlation calculation module calculates the cross-correlation result of each channel signal based on the signal-to-noise ratio, and comprises the following steps:
selecting channel signal time domain data in a signal channel corresponding to the maximum signal-to-noise ratio as reference time domain data, and performing cross-correlation operation on the channel signal time domain data and the reference time domain data to obtain a cross-correlation result of the channel signals.
5. The combiner applied to a 5G frequency band according to claim 4, wherein: the performing cross-correlation operation on the time domain data of each channel signal and the reference time domain data to obtain a cross-correlation result of each channel signal includes:
performing Fourier transform on the time domain data of each channel signal and the reference time domain data to respectively obtain frequency domain data of each channel signal and reference frequency domain data corresponding to the reference time domain data;
performing conjugate operation on the reference frequency domain data, and sequentially performing multiplication operation on the reference frequency domain data and the frequency domain data of each channel of channel signals to obtain related data of each channel of channel signals;
and performing inverse Fourier transform on the relevant data of each channel signal to obtain a cross-correlation result of each channel signal.
6. The combiner applied to a 5G frequency band according to claim 4, wherein: the time deviation value calculation module calculates the time deviation value corresponding to each channel signal based on the cross-correlation result, and comprises:
and calculating the maximum value position of the modulus value of each channel signal according to the cross-correlation result of each channel signal, and subtracting the middle position of the data section from the maximum value position of the modulus value of each channel signal to obtain the time deviation value corresponding to each channel signal.
7. The combiner applied to the 5G band according to claim 6, wherein: the phase deviation value calculation module calculates the phase deviation value corresponding to each channel signal based on the cross-correlation result, and includes:
and calculating a complex value corresponding to the maximum value position of the modulus of each channel signal according to the cross-correlation result of each channel signal, and performing constant modulus operation on the complex value corresponding to the maximum value of the modulus of each channel signal to obtain a phase deviation value corresponding to each channel signal.
8. The combiner applied to the 5G band according to claim 1, wherein: the signal detection module detects whether the current signal contains a 5G signal, and the method comprises the following steps:
receiving a mobile signal, determining the signal frequency of the mobile signal, and judging whether the mobile signal contains a 5G frequency band or not according to the signal frequency;
and judging whether a 5G link is included or not when the 5G frequency band is included, if the 5G link exists, the current signal includes a 5G signal, otherwise, the current signal does not include the 5G signal.
9. The combiner applied to the 5G band according to claim 8, wherein: the communication link switching module switches the 4G link to perform data transmission based on the detection result of the signal detection module, and comprises:
if the current signal contains a 5G signal, the communication link switching module switches the 4G link to retransmit the data transmitted by the 5G link after the 5G link completes data transmission;
if the current signal does not contain the 5G signal, the communication link switching module switches the 5G link into the 4G link, splits the data to be transmitted according to the number of the 4G links, and completes data transmission through the 4G link.
10. The combiner applied to a 5G band according to claim 9, wherein: the communication link switching module switches the 5G link into the 4G link and splits the data to be transmitted according to the number of the 4G links, and the method comprises the following steps:
switching the 5G link into 4G links with proper quantity according to the bandwidths of the 5G link and the 4G link;
setting a bandwidth threshold value for the 4G link, and matching the bandwidth of the 4G link with the bandwidth of the 5G link in proper quantity;
determining the maximum transmission data volume according to the bandwidth of the 4G link, determining the real-time transmission data volume according to the maximum transmission data volume, and equally dividing the real-time transmission data volume based on the number of the 4G links.
CN202211234514.4A 2022-10-10 2022-10-10 Combiner applied to 5G frequency band Pending CN115764210A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120415485A (en) * 2025-06-23 2025-08-01 北京广厦网络技术股份公司 A 5G module communication device based on transparent antenna

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120415485A (en) * 2025-06-23 2025-08-01 北京广厦网络技术股份公司 A 5G module communication device based on transparent antenna

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