认知无线电系统的顽健资源分配算法

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.