OFDMA认知无线电网络中面向需求的频谱共享

doi:10.11959/j.issn.1000-436x.2015227

摘要/Abstract

摘要：

从满足次网络通信需求的角度，设计一个两阶段模型，求解OFDMA 认知无线电网络中频谱租赁与分配问题。模型第1阶段，次基站收集次网络通信需求，向多个主基站租用频谱资源。运用Bertrand博弈对主、次基站的交易行为进行建模，并将纳什均衡作为最终定价方案。第2阶段，基于纳什议价方案，将次基站子载波和功率分配问题定义成非线性规划问题，并通过拉格朗日乘数法进行求解。仿真实验表明，相对于其他频谱共享方案，所提方案高效地满足每个次用户的通信需求。

关键词: 认知无线电, 频谱租赁, Bertrand博弈, 信道容量需求, 频谱分配, 频谱定价

Abstract:

Considering the satisfaction of the secondary network communication requirements,a two-stage model was proposed to address the spectrum leasing and allocation problem in OFDMA cognitive radio networks(CRN).At the first stage of the model,the secondary base station(SBS)collected channel capacity requirements of the secondary network,and rent the spectrum resource from multiple primary base stations(PBS).The trade behaviors between the PBS and the SBS were modeled with a Bertrand game,and adopted the Nash equilibrium as the pricing scheme.At the second stage,with the Nash bargaining solution(NBS),the subcarriers and power allocation problem were defined as a nonlinear programming problem,and obtained the solution by Lagrange multiplier method.Comparing with the other spectrum allocation schemes,simulation results show the proposed spectrum sharing scheme can satisfy each secondary user’s communication requirements more fairly and efficiently.

Key words: cognitive radio, spectrum leasing, Bertrand game, channel capacity requirements, spectrum allocation

张翅,曾碧卿,杨劲松,谢晓虹. OFDMA认知无线电网络中面向需求的频谱共享[J]. 通信学报, 2015, 36(8): 192-206.

Chi ZHANG,Bi-qing ZENG,Jin-song YANG,Xiao-hong XIE. Requirements-oriented spectrum sharing for OFDMA cognitive radio networks[J]. Journal on Communications, 2015, 36(8): 192-206.

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参考文献 26

[1]	MITOLA J , MAGUIRE JR G Q . Cognitive radio:making software radios more personal[J]. IEEE Personal Communications, 1999,6(4): 13-18.
[2]	MITOLA J . Cognitive Radio:An integrated Agent Architecture for Software Defined Radio[D]. KTH Royal Institute of Technology, 2000.
[3]	张勇, 腾颖蕾, 宋梅 . 认知无线电与认知网络[M]. 北京: 北京邮电大学出版社, 2012. ZHANG Y , TENG Y L , SONG M . Conitive Radio and Cognitive Networks[M]. Beijing: Beijing University of Posts and Telecommunication Press, 2012.
[4]	HUANG J , BERRY R A , HONIG M L . Spectrum sharing with distributed interference compensation[A]. New Frontiers in Dynamic Spectrum Access Networks,2005 First IEEE International Symposium on[C]. 2005. 88-93.
[5]	ZHENG H , CAO L . Device-centric spectrum manage-ment[A]. New Frontiers in Dynamic Spectrum Access Networks,2005 First IEEE International Symposium on[C]. IEEE, 2005. 56-65.
[6]	ZHAO J , ZHENG H , YANG G H . Distributed coordination in dynamic spectrum allocation networks[A]. New Frontiers in Dynamic Spectrum Access Networks,2005 First IEEE International Symposium on[C]. 2005. 259-268.
[7]	HAYKIN S . Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005,23(2): 201-220.
[8]	YU H , GAO L , LI Z ,et al. Pricing for uplink power control in cognitive radio networks[J]. Vehicular Technology,IEEE Transactions on, 2010,59(4): 1769-1778.
[9]	WANG Z , JIANG L , HE C . A novel price-based power control algorithm in cognitive radio networks[J]. Communications Letters,IEEE, 2013,17(1): 43-46.
[10]	NIYATO D , HOSSAIN E . Competitive pricing for spectrum sharing in cognitive radio networks:dynamic game,inefficiency of Nash equilibrium,and collusion[J]. Selected Areas in Communications,IEEE Journal on, 2008,26(1): 192-202.
[11]	NIYATO D , HOSSAIN E . Competitive spectrum sharing in cognitive radio networks:a dynamic game approach[J]. Wireless Communications,IEEE Transactions on, 2008,7(7): 2651-2660.
[12]	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 model in cognitive radios based on game theory[J]. Journal on Communications, 2010,31(2): 136-140.
[13]	WANG W , KANG G S , WANG W . Joint spectrum allocation and power control for multihop cognitive radio networks[J]. Mobile Computing,IEEE Transactions on, 2011,10(7): 1042-1055.
[14]	MWANGOKA J W , LETAIEF K B , CAO Z . Joint power control and spectrum allocation for cognitive radio networks via pricing[J]. Physical Communication, 2009,2(1): 103-115.
[15]	罗丽平, 邱焕新, 张广驰 ,等. 具有约束条件的认知无线电网络最优频谱价格函数[J]. 电子学报, 2011,39(3): 562-566. LUO L P , QIU H X , ZHANG G C ,et al. Optimal pricing function with spectrum constraint in cognitive radio networks[J]. Actc Electronica Since, 2011,39(3): 562-566.
[16]	TRAN N H , HONG C S , HAN Z ,et al. Optimal pricing effect on equilibrium behaviors of delay-sensitive users in cognitive radio networks[J]. Selected Areas in Communications,IEEE Journal on, 2013,31(11): 2566-2579.
[17]	LEE K D , LEUNG V C M . Fair allocation of subcarrier and power in an OFDMA wireless mesh network[J]. Selected Areas in Communications,IEEE Journal on, 2006,24(11): 2051-2060.
[18]	ZHAO Z , PENG Z , ZHAO Z ,et al. Joint power control and spectrum allocation for cognitive radio with QoS constraint[J]. Communications and Network, 2010,2: 38-43.
[19]	NI Q , ZARAKOVITIS C C . Nash bargaining game theoretic scheduling for joint channel and power allocation in cognitive radio systems[J]. Selected Areas in Communications,IEEE Journal on, 2012,30(1): 70-81.
[20]	WONG C Y , CHENG R S , LATAIEF K B ,et al. Multiuser OFDM with adaptive subcarrier,bit,and power allocation[J]. Selected Areas in Communications,IEEE Journal on, 1999,17(10): 1747-1758.
[21]	OSBORNE M J , RUBINSTEIN A . A course in game theory[M]. MIT Press, 1994.
[22]	SURIS J E , DASILVA L A , HAN Z ,et al. Cooperative game theory for distributed spectrum sharing[A]. Communications,2007 IEEE International Conference on[C]. 2007. 5282-5287.
[23]	NASH JR J F . The bargaining problem[J]. Econometrica:Journal of the Econometric Society, 1950. 155-162.1950.155-162.
[24]	OSBORNE M J , RUBINSTEIN A . Bargaining and Markets[M]. San Diego: Academic Press, 1990.
[25]	KIM K , KIM H , HAN Y . Subcarrier and power allocation in OFDMA systems[A]. Vehicular Technology Conference[C]. 2004. 1058-1062.
[26]	TASSIULAS L , SARKAR S . Maxmin fair scheduling in wireless networks[A]. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies Proceedings[C]. 2002. 763-772.