基于凸优化的认知中继功率分配

摘要

In this paper, we reserch the cognitive relay power allocation based on convex optimization. Considering under the in?terference temperature constraints, how to maximize the system capacity through reasonably sub-carriers power distribution. Arti?cle based on convex optimization theory gives the optimal iterative algorithm of the problem and improve the algorithm from the perspective of the average time complexity, and then propose a suboptimal algorithm. Simulation results show that the suboptimal algorithm compared to optimal algorithm has some performance cost, but the computational complexity is greatly reduced.%该文研究了基于凸优化的认知中继功率分配问题.考虑在干扰温度的限制下,如何通过合理的子载波功率分配使得系统容量最大化.文章依据凸优化理论给出该问题的最优迭代算法,并从改善算法平均时间复杂度的角度加以改进,进而提出一种次优算法.数值仿真结果表明,次优算法相比最优算法有一定的性能损失,但是计算复杂度大大减少.