[1]叶芝慧,王涛,冯奇.一种基于博弈论价格机制的频谱分配算法[J].东南大学学报(自然科学版),2014,44(3):462-467.[doi:10.3969/j.issn.1001-0505.2014.03.002]
　Ye Zhihui,Wang Tao,Feng Qi.Spectrum allocation algorithm based on game theory with price mechanism[J].Journal of Southeast University (Natural Science Edition),2014,44(3):462-467.[doi:10.3969/j.issn.1001-0505.2014.03.002]
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一种基于博弈论价格机制的频谱分配算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第3期
页码:
462-467
栏目:
电磁场与微波技术
出版日期:
2014-05-16

文章信息/Info

Title:
Spectrum allocation algorithm based on game theory with price mechanism
作者:
叶芝慧; 王涛; 冯奇
南京大学电子科学与工程学院, 南京 210023
Author(s):
Ye Zhihui;  Wang Tao;  Feng Qi
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
关键词:
认知无线电;  频谱分配;  纳什均衡;  频谱替代系数;  效用
Keywords:
cognitive radio;  spectrum allocation;  Nash equilibrium;  spectrum substitutability coefficient;  utility
分类号:
TN014
DOI:
10.3969/j.issn.1001-0505.2014.03.002
摘要:
为了提高认知无线电系统频谱分配的效率,建立了基于博弈论价格机制频谱分配系统模型,避免了价格因主系统频谱增加而降低的缺陷.该模型利用频谱政策服务器对特定区域的频谱进行统一分配,充分发挥了主系统的先动优势和次用户的后动优势.同时,根据次用户对不同频段的偏好引入差异性的概念,设计了认知无线电的静态博弈算法.该算法在深入分析频谱需求函数、次用户效用函数、主系统成本函数和主系统效用函数的基础上,以最大化主系统和次用户效用为设计目标,验证了纳什均衡点的存在性.仿真结果表明,在主系统对称和非对称2种情况下,所提算法能够有效地改善主系统的频谱利用率,提高主系统和次用户的效用.
Abstract:
A game theoretical framework based on price mechanism is built to improve the efficiency of spectrum allocation in cognitive radio system, which avoids reducing the price with the increase of primary system spectrum. The model performs spectrum allocation for the given area by using the spectrum policy server and takes full advantage of both priority of the primary system and posteriority of the secondary user. Meanwhile, by introducing the concept of difference according to the secondary user preferences for spectrum, a static game algorithm is proposed in cognitive radio. Based on the in-depth analysis of the function of the spectrum demand, the function of the secondary user utility, the function of the primary system cost and the function of the primary system utility, the algorithm is designed to maximize the utility of the primary system and the secondary user, which consequently verifies the existence of Nash equilibrium. The simulation results indicate that in both symmetric and asymmetric primary system cases, the proposed algorithm can improve the spectrum utilization of the primary system effectively, as well as the utility of the primary system and the secondary user.

参考文献/References:

[1] Mitola J, Magurire G Q. Cognitive radio: making software more personal [J]. IEEE Personal Communications, 1999, 6(4): 13-18.
[2] Wang W, Liu X. List-coloring based channel allocation for open-spectrum wireless networks [C]//Proceedings of the 62nd IEEE Vehicular Technology Conference. Dallas, TX, USA, 2005: 690-694.
[3] 樊路. 认知无线电中基于图论的频谱分配算法[D]. 哈尔滨: 哈尔滨工业大学电子与信息工程学院, 2009.
[4] Li T, Mandayam N B, Reznik A. A framework for distributed resource allocation and admission control in a cognitive digital home [J]. IEEE Transactions on Wireless Communications, 2013, 12(3): 984-995.
[5] Cao L, Zheng H. Distributed spectrum allocation via local bargaining [C]//Proceedings of 2005 IEEE Sensor and Ad Hoc Communications and Networks. Santa Clara, CA, USA, 2005: 26-29.
[6] Eraslan B, Gozupek D, Alagoz F. An auction theory based algorithm for throughput maximizing scheduling in centralized cognitive radio networks [J]. IEEE Communications Letters, 2011, 15(7): 734-736.
[7] Iera A, Militano L, Romeo L P, et al. Fair cost allocation in cellular-bluetooth cooperation scenarios [J]. IEEE Transactions on Wireless Communications, 2011, 10(8): 2566-2576.
[8] Jiang Y, Zhou Y, Wang W. Task Allocation for undependable multiagent systems in social networks [J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 24(8): 1671-1681.
[9] Etkin R, Parekh A, Tse D. Spectrum sharing for unlicensed bands [J]. IEEE Journal on Selected Areas in Communications, 2007, 25(3): 518-527.
[10] Gao J, Vorobyov S A, Jiang H. Cooperative resource allocation games under spectral mask and total power constraints [J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4379-4395.
[11] Yaiche H, Mazumndar R R, Rosenberg C. A game theoretic framework for bandwidth allocation and pricing in broadband networks [J]. IEEE/ACM Transactions on Networking, 2000, 8(5): 667-678.
[12] Han Z, Ji Z, Liu K J R. Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions [J]. IEEE Transactions on Communications, 2005, 53(8): 1366-1376.
[13] Berlemann L, Hiertz G R, Walke B H. Radio resource sharing games: enabling QoS support in unlicensed bands [J]. IEEE Network, 2005, 19(4): 59-65.
[14] Niyato D, Hossain E. Competitive pricing for spectrum sharing in cognitive radio networks: dynamic game, inefficiency of Nash equilibrium, and collusion [J]. IEEE Journal on Selected Areas in Communications, 2008, 26(1): 192-202.

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备注/Memo

备注/Memo:
收稿日期: 2013-11-29.
作者简介: 叶芝慧(1967—), 女, 博士, 副教授,yezh@nju.edu.cn.
基金项目: 国家自然科学基金资助项目(60932002)、国家海洋公益重大专项资助项目(201205035)、江苏省科技支撑计划资助项目(BE2012155).
引用本文: 叶芝慧,王涛,冯奇.一种基于博弈论价格机制的频谱分配算法[J].东南大学学报:自然科学版,2014,44(3):462-467. [doi:10.3969/j.issn.1001-0505.2014.03.002]
更新日期/Last Update: 2014-05-20