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认知网络中基于竞价模型的切换频谱分配 被引量：2

Handover Spectrum Allocation Based on Bidding Model in Cognitive Networks
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摘要 通过对最新竞价算法的分析,针对频谱分配过程中频谱使用率低下的缺点,提出一种认知无线电中基于竞价机制的具有较高频谱使用率的频谱分配算法。引入干扰价格,通过设置干扰价格指数,降低系统干扰,保证主用户的服务质量。数值仿真结果表明,该算法通过多次分配有效地提高了频谱的利用率,增加了系统的吞吐量。 Grounded on the analysis of the latest bidding algorithm, contra posing to low utilization of spectrum in spectrum allocation, a bidding mechanism-based spectrum allocation algorithm of high spectrum utilization is proposed in Cognitive Radio（CR）. And the interference pricing is introduced which makes the system interference reduced by setting the interference pricing index, then the quality of service of primary user is ensured. Simulation results demonstrate that the proposed algorithm is effective to improve the spectrum utilization and increase system throughput by multiple allocation.
作者 吴琼 鲜永菊 徐昌彪
机构地区 重庆大学通信工程学院 重庆邮电大学移动通信重点实验室
出处 《计算机工程》 CAS CSCD 北大核心 2011年第12期71-73,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60972068) 重庆大学研究生科技创新基金资助重点项目(200904B1A0010306) 重庆市教育委员会科学技术研究基金资助项目(KJ090502)
关键词 认知无线电 频谱分配 干扰价格 竞价 Cognitive Radio（CR） spectrum allocation interference price bidding
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献6

  • 1Haykin S. Cognitive Radio: Brain-empowered Wireless Communications[J]. IEEE Trans. on Communications, 2005, 23(2): 201-220.
  • 2Zhu Ji, Liu K J R. Multi-stage Pricing Game for Collusion-Resistant Dynamic Spectrum Allocation[J]. IEEE Trans. on Communications, 2008, 26(1): 182-191.
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  • 6杨晨炜,冷甦鹏.基于NS2的认知无线电网络模型[J].计算机工程,2010,36(5):111-113. 被引量：10

二级参考文献3

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  • 3Lee Byungjoo, Seung Hyong Rhee. Enhancement in Cognitive Radio Networks[C]//Proc. of ICOIN'08. Busan, Korea, [s. n.], 2008.

共引文献9

同被引文献20

  • 1翁楚良,陆鑫达.一种基于双向拍卖机制的计算网格资源分配方法[J].计算机学报,2006,29(6):1004-1008. 被引量：37
  • 2Rosenthal R.A class of games possessing pure-strategy Nash equilibria[J].International Journal of Game Theory,1973,2 (1):65-67.
  • 3Fabrikant A,Papadimitriou C,Talwar K.The complexity of pure Nash eauilibria[C]//The 36th Annual ACM Symposium on Theory of Computing,2004:604-612.
  • 4Chen L.A distributed access point selection algorithm based on no-regret learning for wireless access networks[C]//IEEE Vehicular Technology Conference,2010:1-5.
  • 5Ercetin O.Association games in IEEE 802.11 wireless local area networks[J].IEEE Transactions on Wireless Communications,2008,7 (12):5136-5143.
  • 6Altman E,Kumar A,Hayel Y.A potential game approach for uplink resource allocation in a multichannel wireless access network[C]//Pisa,Italy:Proceedings of the Fourth International ICST Confere-nce in Performance Evaluation Methodologies and Tools,2009.
  • 7Liu Mingyan, Ahmad S H A, Wu Yunnan. with resource reuse and applications in [ C ] //Istanbul, Turkey.. Proceedings Conference on Game Theory for Networks, Congestion games spectrum sharing of International 2009:171-179.
  • 8Sahand Ahmad,Cem Tekin,Liu Mingyan,et al.Spectrum sharing as spatial congestion games[J].IEEE Transaction on Networking,2010.
  • 9Saraydar C U,Mandayam N B,Goodman D J.Efficient power control via pricing in wireless data networks[J].IEEE Transactions on Communications,2002,50 (2):291-303.
  • 10MITOLAⅢJ,GERALD Q,MAGUIRE J.Cognitive radio:making software radio more personal[J].IEEE Personal Communications,1999,6(4):13-18.

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计算机工程
2011年 第12期

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