Title :
Energy-aware opportunistic channel access with decentralized channel state information
Author :
Yang, Bo ; Shen, Yanyan ; Guan, Xinping ; Wang, Wei
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Decentralized channel state information is utilized to design a multichannel access algorithm for uplink transmission with power adaptation. The base station does not coordinate the transmissions of mobile users and hence users employ random access transmission. The situation is modeled as a non-cooperative game, where mobile users attempt to maximize its individual throughput gain with the least transmission power consumption. It is shown that each user should access a channel with probability 1 if the channel gain exceeds some threshold and the energy consumption with threshold policy does not exceed randomized policy. The game is reformulated as a channel gain threshold adaptation game, whose Nash equilibrium is proven to exist and be unique with mild conditions. At last a distributed iterative algorithm is proposed for each user to find the optimal threshold without knowing the channel state distribution and other users´ strategies, and is proven to converge to the unique Nash equilibrium.
Keywords :
data communication; distributed algorithms; game theory; iterative methods; mobile radio; probability; random processes; wireless channels; Nash equilibrium; channel gain threshold adaptation game; decentralized channel state information; distributed iterative algorithm; energy aware opportunistic channel access; energy consumption; mobile users; multichannel access algorithm; non-cooperative game; probability; random access transmission; Convergence; Data communication; Energy consumption; Games; Mobile communication; Power demand; Throughput;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6160187