认知网络中认知用户速率最大化的功率分配干扰对齐算法

摘要

传统认知网络中,由于缺乏有效的资源管理,多用户之间的干扰会影响系统的信道容量.以此为背景,针对单个授权用户和多个认知用户的多输入多输出认知网络,提出了认知网络的干扰对齐方案,并在干扰对齐的基础上进行了认知用户总速率最大化的功率分配.该算法计算了不同认知用户功率占比下认知网络干扰对齐后的结果,并从中选择性能最优的功率分配方案.仿真结果表明,相对于传统的等功率分配方案,该算法能够进一步提升认知用户系统的性能.%Due to the lack of effective resource management in traditional cognitive networks, the interference of between multiple users would affect the channel capacity of the system. Based on this background, the interference alignment scheme for cognitive networks is proposed for multiple inputs multiple output cognitive networks with single authorized users and multiple cognitive users. On the basis of interference alignment, the power allocation for maximizing total rate of cognitive users is done. The algorithm calculates the interference alignment results of cognitive networks under different power ratios of cognitive users, and selects the best performance power allocation scheme. Simulation results indicate that, compared with the traditional equal power allocation scheme, the proposed algorithm could further improve the performance of cognitive user systems.