认知无线电网络中改进的拓扑控制算法

在对认知无线电网络进行信道分配时,网络的拓扑健壮性、对主用户的干扰和认知用户之间的干扰是衡量网络性能优劣的重要指标。文中在假设信道占用时间服从负指数分布的前提下,提出了一个权衡对主用户干扰和认知用户之间干扰的参数,并结合健壮的拓扑控制算法,给出了一种改进的拓扑控制算法。仿真结果表明,ITCA比CRTCA在网络吞吐量上有所增加,冲突率有所降低。

An Improved Topology Control Algorithm in Cognitive Radio Networks

The robust network topology,the interference to primary users and the interference among secondary users are important indicators to measure network performance in channel assignment of cognitive radio networks.By assuming that the channel occupancy time is negatively exponentially distributed,an indicator which makes a tradeoff between the interference to primary users and the interference among secondary users is given.Then,we propose an improved topology control algorithm based on the channel selection criteria of central robust topology algorithm.Simulation results show that the ITCA which makes a tradeoff between the interference to primary users and the interference among secondary users is bigger in throughput and lower in collision rate than CRTCA.