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OFDMA毫微微小区网络中基于效用公平的功率控制策略
引用本文:马文敏,郑伟,张海君,温向明,路兆铭.OFDMA毫微微小区网络中基于效用公平的功率控制策略[J].电子与信息学报,2012,34(10):2287-2292.
作者姓名:马文敏  郑伟  张海君  温向明  路兆铭
作者单位:1. 北京邮电大学网络体系构建与融合北京市重点实验室 北京 100876
2. 北京邮电大学网络体系构建与融合北京市重点实验室 北京 100876;伦敦大学国王学院电信研究中心 伦敦 WC2R 2LS
基金项目:国家科技重大专项,国家自然科学基金,北京市教委共建科研项目资助课题
摘    要:毫微微小区(Femtocell)网络能够增强室内覆盖,提高系统容量,但是在频谱共享正交频分多址(OFDMA) Femtocell网络中,同频干扰严重限制了网络的性能。针对频谱共享Femtocell网络中的上行链路,基于网络效率和毫微微小区用户间的公平性,该文提出合作纳什议价功率控制博弈模型,该博弈模型不仅考虑了对宏基站的干扰,而且考虑了毫微微小区用户最小信干噪比(SINR)需求。根据该博弈模型,进一步分析了具有帕累托(Pareto)最优的Kalai-Smorodingsky(KS)议价解。仿真结果表明,该策略既能保证用户公平性、最小SINR需求,又能够有效提高网络频谱利用率。

关 键 词:无线通信    毫微微小区网络    合作博弈    公平性    Kalai-Smorodingsky(KS)议价
收稿时间:2012-05-09

Utility-based Fairness Power Control Scheme in OFDMA Femtocell Networks
Ma Wen-min , Zheng Wei , Zhang Hai-jun , Wen Xiang-ming , Lu Zhao-ming.Utility-based Fairness Power Control Scheme in OFDMA Femtocell Networks[J].Journal of Electronics & Information Technology,2012,34(10):2287-2292.
Authors:Ma Wen-min  Zheng Wei  Zhang Hai-jun  Wen Xiang-ming  Lu Zhao-ming
Affiliation:Ma Wen-min ① Zheng Wei ① Zhang Hai-jun ①② Wen Xiang-ming ① Lu Zhao-ming ① ①(Beijing Key Laboratory of Network System Architecture and Convergence,Beijing University of Posts and Telecommunications,Beijing 100876,China) ②(Centre for Telecommunications Research,King’s College London,London WC2R 2LS,UK)
Abstract:Femtocell is a promising technology to enhance indoor coverage and system capacity. However, the interference impairs greatly the network performance for spectrum-sharing OFDMA femtocell networks. This paper investigates a power control scheme for the uplink transmission of spectrum-sharing femtocell networks based on cooperative game theoretic framework. Taking into consideration both user fairness and network efficiency, a cooperative Nash bargaining power control game model is formulated, where interference power constraint is imposed to protect cellular users transmission, and minimum Signal-to-Interference-plus-Noise Ratio (SINR) requirements are employed for femtocell users. Then a Kalai-Smorodinsky (KS) bargaining solution is developed, which is a Pareto-optimal solution to the problem. Simulation results show that the proposed algorithm not only maintains fairness among femtocell users and guarantees the minimum SINR requirements of all femtocell users, but also improves the spectrum efficiency.
Keywords:
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