认知无线电系统的顽健资源分配算法  

Robust resource allocation algorithm for cognitive radio system

作　　者：徐勇军[1] 赵晓晖[1] 

机构地区：[1]吉林大学通信工程学院,吉林长春130012

出　　处：《通信学报》2014年第4期124-129,140,共7页Journal on Communications

基　　金：国家自然科学基金资助项目(61171079)~~

摘　　要：针对多用户下垫式认知无线电网络中参数不确定性问题,提出了一种顽健分布式功率控制算法。在干扰温度门限和次用户信干噪比(SINR)的约束下,考虑信道不确定性,实现认知系统功率消耗最小化。基于欧几里得球形不确定性描述,利用拉格朗日对偶分解理论给出了顽健功率控制问题的解。仿真结果表明,该顽健功率分配算法能同时满足主用户和次用户的QoS需求,与非顽健算法和传统SOCP算法对比可提升系统性能。For the underlay cognitive radio networks with multiuser under parameter uncertainties, a robust distributed robust power control algorithm was proposed. This algorithm was formulated to minimize total transmit power of SUs under the interference temperature and SINR constraint. Based on euclidean ball-shaped uncertainty, the robust distribut-ed solution of the optimization problem was obtained by using Lagrange dual decomposition theory. The simulation re-sults illustrate that, compared with the non-robust algorithm and traditional SOCP algorithm, the proposed algorithm achieves a better performance and guarantees the QoS requirement for both SUs and PUs under the parameter uncertainty.

关 键 词：认知无线电 顽健功率控制 对偶分解理论 信道确定性 QOS需求 

分 类 号：TN929[电子电信—通信与信息系统]