基于实际应用环境的OFDM协同认知网络资源分配算法研究  

Resource allocation schemes in OFDM-based cooperative cognitive radio network with real application environment

作　　者：杨雪洲[1] 唐伟[1] 郭伟[1] 

机构地区：[1]电子科技大学通信抗干扰技术国家级重点实验室,成都611731

出　　处：《计算机应用研究》2015年第4期1157-1160,共4页Application Research of Computers

基　　金：国家"863"计划资助项目(2014AA01A701);国家自然科学基金资助项目(61271168);国防科技重点实验室基金资助项目(9140C020302130C02007)

摘　　要：研究了基于正交频分复用(OFDM)的协同认知无线网络中联合资源分配问题。为了更好地适应实际的应用环境,考虑了多约束条件下的资源分配方案以最大化整个网络系统的吞吐量。针对不同的中继传输协议,提出了相应的联合子载波匹配、功率分配和最佳中继选择的资源分配算法。仿真结果表明该算法在大大降低算法复杂度的同时亦能获得较好的算法性能。This paper investigated the problem of resource allocation in an orthogonal frequency division multiplexing（ OFDM） cooperative cognitive radio networks（ CRN）. The goal was to maximize the overall throughput with constraints on the individual power of each node and the communication rate,while the interference induced to the primary users（ PUs） was kept satisfying a predefined threshold. It presented the joint subcarrier pairing,power allocation and relay selection optimal algorithms for different relay transmission schemes. Compared to the optimal scheme,the proposed algorithm achieves much lower computational complexity with little performance degradation.

关 键 词：认知无线网络 OFDM 协同通信 联合资源分配 吞吐量 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]