基于最小剩余约束空间的认知系统资源分配

摘要

Taking advantage of both spectrum sharing and opportunistic spectrum access,an efficient resource allocation alogrithm based on minimum remaining constraint space is proposed for the downlink of cognitive radio network with multiple users.Considering the margin of transmit power constraint and interference power constraint,the proposed alogrithm allocates current 1 bit to the user with minimum constraint space to maxmize the sum-rate of cognitive users.The simulation results show that when cognitive users adopt OFDM to transmit,the alogrithm achieves better performace under primary user interference power constraints.%针对授权网络和认知网络并存且均包含多个用户的下行链路场景,综合利用频谱共享与机会频谱接入两种动态频谱接入方式的特点,提出了基于“最小剩余约束空间”的认知系统资源分配算法.算法考虑发射功率约束与干扰功率约束的余量,每次将当前1信息比特分配给真正占用约束余量最小的用户,以达到认知用户和速率的最大化.仿真结果验证了当多认知用户采用OFDM时,所提算法在干扰功率小于主用户干扰门限的前提下达到了较好的性能.