采用软合并合作检测的认知无线电系统的吞吐量优化

为了最大化认知无线电系统的吞吐量，以采用等增益软合并合作检测的认知无线电系统为例，建立了在主用户得到充分保护的条件下系统吞吐量的优化模型，优化参数分别为本地检测时间和参与合作检测的用户数．利用最优化理论证明了系统吞吐量是本地检测时间的凹函数，并基于该结论给出了最大吞吐量的联合搜索算法．仿真结果验证了理论分析，并给出了不同传输开销下的最大吞吐量及其对应的最优参数．

Throughput optimization of a cognitive radio system based on cooperative sensing with soft combination

In order to maximize the throughput for a cognitive radio network, the cognitive radio network based on cooperative sensing with equal gain combination are taken as an example to establish a throughput optimization model, with the constraint that the primary users are sufficiently protected. The optimization parameters are local sensing time and the number of cooperative users. We have proved that the throughput is a concave function of the local sensing time by the optimization theory. Based on the conclusion, a searching method is proposed to obtain the maximal throughput. Simulation results have validated the theoretical results, and the maximal throughput and the corresponding parameters are given under different sensing overheads.