认知无线电系统的顽健资源分配算法

doi:10.3969/j.issn.1000-436x.2014.04.014

摘要/Abstract

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。

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

Abstract:

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 distrib-uted solution of the optimization problem was obtained by using Lagrange dual decomposition theory. The simulation results 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.

Key words: cognitive radio, robust power control;, dual decomposition theory, channel uncertainty, QoS' needs

徐勇军,赵晓晖. 认知无线电系统的顽健资源分配算法[J]. 通信学报, 2014, 35(4): 124-129.

Yong-jun XU,Xiao-hui ZHAO. Robust resource allocation algorithm for cognitive radio system[J]. Journal on Communications, 2014, 35(4): 124-129.

图/表 4

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