基于认知无线电的混合网络最优信道分配

An Optimal Channel Assignment in Hybrid Network Based on Cognitive Radio

在保证主用户服务质量的前提下,将接入点(AP)以认知用户的身份接入到主用户频谱,合理地分享主用户信道资源.将信道分配问题建模为整数线性规划问题,提出一个混合最优信道分配算法(HOCA),该算法基于一种有权连接图的最小生成树,可以快速准确地在主用户和认知AP频谱中为主用户和认知AP分配干扰最小的信道.最后,将HOCA算法和其他2种信道分配算法,次最优机会信道分配和次最优信道分配-2算法进行了数值分析,验证了HOCA在吞吐量性能的有效性.

A solution is put forward that makes access point （AP） access into the primary user＇ s channel in the identity of cognitive user under the precondition of guaranteeing primary user＇ s quality of service, so as to share the channel resource of primary user effectively. It models the channel assignment as an in- teger linear programming issue and puts forward a hybrid optimal channel assignment algorithm （HO- CA）. Based on minimum spanning tree algorithm of connected weighted graph, the algorithm can allocate the minimum interfered channel for primary user and cognitive AP fast and efficiently in its own frequency band of primary user and cognitive AP. HOCA algorithm and other two channel assignment algorithms, near-optimal opportunistic channel allocation and near optimal frequency assignment-2 are analyzed. It is testified that HOCA algorithm can effectively improve the throughput of cognitive user.