Asymmetric Cooperative Communications Based Spectrum Leasing via Auctions in Cognitive Radio Networks

被引:71
作者
Jayaweera, Sudharman K. [1 ]
Bkassiny, Mario [1 ]
Avery, Keith A. [2 ]
机构
[1] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
[2] AFRL, Space Vehicles Directorate, Albuquerque, NM USA
关键词
Cognitive radios; cooperative communications; distributed dynamic spectrum leasing; dynamic spectrum access; dynamic spectrum sharing; auction game; game theory;
D O I
10.1109/TWC.2011.061311.102044
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Dynamic spectrum leasing (DSL) was proposed recently as a new paradigm for dynamic spectrum sharing (DSS) in cognitive radio networks (CRN's). In this paper, we propose a new way to encourage primary users to lease their spectrum: The secondary users (SU's) place bids indicating how much power they are willing to spend for relaying the primary signals to their destinations. In this formulation, the primary users achieve power savings due to asymmetric cooperation. We propose and analyze both a centralized and a distributed decision-making architecture for the secondary CRN. In the centralized architecture, a Secondary System Decision Center (SSDC) selects a bid for each primary channel based on optimal channel assignment for SU's. In the decentralized cognitive network architecture, we formulate an auction game-based protocol in which each SU independently places bids for each primary channel and receivers of each primary link pick the bid that will lead to the most power savings. A simple and robust distributed reinforcement learning mechanism is developed to allow the users to revise their bids and to increase their rewards. The performance results show the significant impact of reinforcement learning in both improving spectrum utilization and meeting individual SU performance requirements.
引用
收藏
页码:2716 / 2724
页数:9
相关论文
共 26 条
[1]
[Anonymous], P IEEE INT C COMM MA
[2]
[Anonymous], IEEE 73 VEH TECHN C
[3]
[Anonymous], 2008, P 2008 19 INT C PATT, DOI [DOI 10.1109/INTLEC.2008.4664022, DOI 10.1109/ICPR.2008.4761904]
[4]
[Anonymous], 43 ANN AS C SIGN SYS
[5]
[Anonymous], 2010, 2010 IEEE INT C COMM
[6]
[Anonymous], P 6 C WIR ADV JUN
[7]
[Anonymous], SPEC SESS ADV RAD AC
[8]
Bae J., 2008, IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN), P1
[9]
Learning and adaptation in cognitive radios using neural networks [J].
Baldo, Nicola ;
Zorzi, Michele .
2008 5TH IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3, 2008, :998-1003
[10]
Choi YJ, 2004, GLOB TELECOMM CONF, P3165