[1] |
JAYAKRISHNAN U , VENUGOPAL V V . Algorithms for dynamic spectrum access with learning for cognitive radio[J]. IEEE Transac-tions on Signal Processing, 2010,58 (2): 750-760.
|
[2] |
JIANG C X , CHEN Y , LIU K J , et al. Renewal-theoretical dynamic spectrum access in cognitive radio network with unknow primary behavior[J]. IEEE Journal on Selected Areas in Communications, 2013,31 (3): 406-416.
|
[3] |
SUN Z W , LANEMAN J N . Secondary access policies with imperfect sensing in dynamic spectrum access networks[A]. IEEE International Conference on Communications(ICC)[C]. Ottawa, Canada, 2012.1752-1756.
|
[4] |
黄丽亚, 刘臣, 王锁萍 . 改进的认知无线电频谱共享博弈模型[J]. 通信学报, 2010,31 (2): 136-140. HUANG L Y , LIU C , WANG S P . Improved spectrum sharing l in cognitive radios based on game theory[J]. Journal on Communica-tions, 2010,31 (2): 136-140.
|
[5] |
NEDIC A , OZDAGLAR A . Distributed Subgradient Methods for Multi-Agent Optimization[R]. LIDS Technical Report 2755, 2007.
|
[6] |
WU G G , REN P Y , DU Q H . Dynamic spectrum auction with time optimization in cognitive radio networks[A]. IEEE Vehicular Tech-nology Conference(VTC Fall)[C]. Quebec City,Canada, 2012.1-5.
|
[7] |
HU J L , WELLMAN M P . Multi-agent reinforcement: learning theo-retical framework and an algorithm[A]. Proc 15th Inter ional Con-ference on Machine Learning, Madison, WI[C]. San Francisco, CA, 1998.242-250.
|
[8] |
SASTRY P S , PHANSALKAR V V , THATHACHAR M A L . De-centralized learning of Nash equilibria in multi-person stochastic games with incomplete information[J]. IEEE Transactions on Systems, Man and Cybernetics, 1994,24 (5): 769-777.
|
[9] |
ZHU H , NIYATO D , SAAD W , et al. Game Theory in Wireless and Communication Networks Theory, Models, and Application[M]. The United States of America by Cambridge University Press 2012.205-392.
|
[10] |
LI H S , HAN Z . Competitive spectrum access in cognitive radio net-works: graphical game and learning[A]. IEEE Wireless Communica-tions and Networking Conference[C]. Sydney, Australia, 2010.1-5.
|
[11] |
肖遥, 周宗仪 . 随机接入协议:研究综述[J]. 通信技术, 2003,1: 60-63. XIAO Y , ZHOU Z Y . Random access protocol: a survey[J]. Commu-nications Technology, 2003,1: 60-63.
|
[12] |
IEEE 802 16e-2005 and IEEE Std 802.16-2004 /Cor1-2005[EB/OL]. .
|
[13] |
KARMOKAR A K , DJONIN D V , BHARGAVA V K . POMDP-based coding rate adaptation for type-I hybrid ARQ systems over fad-ing channels with memory[J]. IEEE Transactions on Wireless Com-munications, 2006,5 (12): 3512-3523.
|
[14] |
CLUTTON-BROCK T . Cooperation between non-kin in animal socie-ties[J]. Nature, 2009,462: 51-57.
|
[15] |
MITCHELL T M . Machine Learning[M]. McGraw-Hill Education (Asia) Co and China Machine Press, 1997.
|
[16] |
WATKINS C J C H , DAYAN P . Q-learning[J]. Machine Learning, 1992,8:279-292.
|
[17] |
KOK J R , VLASSIS N . Sparse cooperative Q-learning[A]. Proc Twenty-First International Conference on Machine Learning (ICML-04)[C]. Banff, Can-ada, 2004.481-488.
|
[18] |
ZHOU P , CHANG Y S , JOHN A . Reinforcement learning for repeated power control game in cognitive radio networks[J]. IEE Journal on Selected Areas in Communications, 2012,30 (1): 54-68.
|
[19] |
LIU X , WANG J L , WU Q H , et al. Frequency allocation in dynamic environment of cognitive radio networks based on stochastic game[A]. 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)[C]. Beijing, China, 2011.497-502.
|