[go: up one dir, main page]

Kasdani et al., 2010 - Google Patents

Channel allocation in a multiple distributed vehicular users using game theory

Kasdani et al., 2010

Document ID
9915337934897189647
Author
Kasdani Y
Chew Y
Yuen C
Chin W
Publication year
Publication venue
2010 IEEE 71st Vehicular Technology Conference

External Links

Snippet

In this paper, we look into the channel allocation problem for a non-cooperative cognitive vehicular ad-hoc communication network with multiple communicating pairs distributed spatially apart. An algorithm which can search for all pure Nash Equilibrium (NE) solutions is …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W52/00Power Management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC [Transmission power control]
    • H04W52/18TPC being performed according to specific parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/04Wireless resource allocation
    • H04W72/08Wireless resource allocation where an allocation plan is defined based on quality criteria
    • H04W72/085Wireless resource allocation where an allocation plan is defined based on quality criteria using measured or perceived quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W28/00Network traffic or resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/022Site diversity; Macro-diversity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/12Dynamic Wireless traffic scheduling; Dynamically scheduled allocation on shared channel
    • H04W72/1205Schedule definition, set-up or creation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00Network topologies
    • H04W84/02Hierarchical pre-organized networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimizing operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W28/00Network traffic or resource management
    • H04W28/16Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/02Details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B1/00Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission

Similar Documents

Publication Publication Date Title
Cai et al. A graph-coloring based resource allocation algorithm for D2D communication in cellular networks
Akkarajitsakul et al. Game theoretic approaches for multiple access in wireless networks: A survey
Niyato et al. Radio resource management games in wireless networks: an approach to bandwidth allocation and admission control for polling service in IEEE 802.16 [Radio Resource Management and Protocol Engineering for IEEE 802.16]
Hussain et al. An optimal resource allocation algorithm for D2D communication underlaying cellular networks
Mugume et al. Sleep mode mechanisms in dense small cell networks
Song et al. Adaptive and distributed radio resource allocation in densely deployed wireless LANs: A game-theoretic approach
He et al. A novel distributed resource allocation scheme for wireless-powered cognitive radio Internet of Things networks
Bagheri et al. A resource allocation mechanism for enhancing spectral efficiency and throughput of multi-link D2D communications
La et al. An interference minimization game theoretic subcarrier allocation algorithm for OFDMA-based distributed systems
Cao et al. User association for load balancing with uneven user distribution in IEEE 802.11 ax networks
Holfeld et al. Resource sharing with minimum qos requirements for d2d links underlaying cellular networks
CN110035539A (en) One kind being based on the matched resource optimal distribution method of correlated equilibrium regret value and device
Li et al. Location-aware hypergraph coloring based spectrum allocation for D2D communication
Vijayaraghavan et al. Delay-aware wireless resource allocation and user association in LiFi-WiFi heterogeneous networks
Hong et al. Joint linear precoder optimization and base station selection for an uplink MIMO network: A game theoretic approach
Sekander et al. Matching with externalities for decoupled uplink-downlink user association in full-duplex small cell networks
Kasdani et al. Channel allocation in a multiple distributed vehicular users using game theory
Rauniyar et al. A reinforcement learning based game theoretic approach for distributed power control in downlink NOMA
Dai et al. Decoupled multiple association in full-duplex ultra-dense networks: An evolutionary game approach
La et al. A game theoretic distributed dynamic channel allocation scheme with transmission option
Apandi et al. Sharpe ratio for joint user association and subcarrier allocation design in downlink heterogeneous cellular networks
Yang et al. GA based user matching with optimal power allocation in D2D underlaying network
Essassi et al. Power control and RB allocation for LTE uplink
Hsu et al. On Energy-Efficient Clustering in User-Centric Li-Fi Networks
Gállego et al. Flow allocation with joint channel and power assignment in multihop cognitive radio networks using game theory