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基于不完美频谱感知的认知Femtocells资源分配算法研究

Resource Allocation in Cognitive Femtocells with Imperfect Spectrum Sensing

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【作者】 孙艳彭代渊梁宏斌

【Author】 SUN Yan;PENG Dai-yuan;LIANG Hong-bing;Southwest Jiao Tong University School of Information Science and Technology;Southwest Jiao Tong University School of Transportation and Logistics;

【机构】 西南交通大学信息科学与技术学院西南交通大学交通运输与物流学院

【摘要】 针对Macrocell-Femtocell同频异构网络中基于资源分配的干扰抑制问题,将Femtocell与认知无线电技术有效地结合在一起,提出一种新的基于不完美频谱感知的认知Femtocell网络资源分配算法。算法在满足认知家庭用户的服务质量,保证宏用户通信质量不受影响前提下,联合子信道与功率分配,最大化认知Femtocell网络系统容量。仿真证明认知型Femtocell相比于传统型Femtocell可以获得更高的家庭基站网络系统容量,并且性能超过约15%;同时,算法中宏基站用户受到的平均跨层干扰比基于完美频谱感知的算法的低,而且不会高于跨层干扰限制。

【Abstract】 In this paper,we combine femtocell and cognitive radio technology together effectively and propose a novel network resource allocation scheme for cognitive femtocell based on imperfect spectrum sensing method.This proposed joint sub-channel and power allocation algorithm can suppress the co-channel interference in heterogeneous networks.The target of this proposed resource allocation algorithm is to maximize the sum of the throughput of all femtocell users under the Quality of Servise constraints of both femtocell users and macro communication combining the channel and power allocation method.Simulation proved that the all femtocells capacity of cognitive femtocell networks is more about15% than that of the traditional femtocell networks;Meanwhile,the performance of the cross layer interference suppression and the spectrum utilization of the proposed algorithm is superior to that of the algorithm based on perfect spectrum sensing method,the average cross layer interference of user of macro will not be higher than the cross layer interference limit.

【基金】 国家高技术研究发展计划资助项目(2015AA01A705)
  • 【文献出处】 成都信息工程大学学报 ,Journal of Chengdu University of Information Technology , 编辑部邮箱 ,2016年01期
  • 【分类号】TN929.5
  • 【被引频次】3
  • 【下载频次】43
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