保障个体性能的半盲干扰对齐功率分配方法

Power Allocation Algorithm of Semi-Blind Interference Alignment Based on Individual Performance

针对盲干扰对齐机制平均功率分配导致功率利用率低的问题,提出了一种半盲干扰对齐功率分配算法.在功率受限场景下,该算法能够提高整体性能,同时保障个体性能.首先,分析了功率分配对盲干扰对齐性能的影响;其次,建立了功率受限的盲干扰对齐模型,提出了最大化传输速率同时保护用户个体性能的功率分配目标;最后,为满足目标函数的约束,提出基于回溯梯度下降的功率分配算法.仿真结果表明,相比于平均功率分配,所提算法可以将系统性提高约53%.

A power allocation algorithm was proposed to improve the power efficiency in semi-blind inter- ference alignment. In the power-limited scenario, the proposed algorithm can improve the overall per- formance with individual performance guarantee. First, the impact of power allocation on the performance of blind interference alignment was analyzed. Second, the model of semi-blind interference alignment in the limited-power scenario is built and the optimal objective was proposed to maximize the transmission rate with individual performance guarantee. Finally, the retrospective gradient descent scheme based power allocation algorithm was designed and analyzed. Extensive simulations demonstrate that the per- formance of the proposed algorithm is about 53% higher than the average power allocation scheme.