有限用户数多认知网络部分信道共享性能分析

认知网络中动态信道共享是提高频谱资源利用率的关键.针对有限用户数下多认知网络共存场景,该文建立3维马尔科夫链部分信道共享模型,仿真分析用户有/无信道切换功能下认知网络间部分信道共享的性能.分别就阻塞概率、强迫终止概率、切换概率和系统吞吐量等,与静态频谱分配策略和分级共享策略进行比较仿真测试,结果表明,采用部分信道共享策略的系统在容忍较小的切换概率和强迫终止概率下可以获得较大的系统吞吐量.

Performance Analysis on Partial Channel Sharing of Cognitive Networks with Finite User Population

Dynamic channel sharing policy is the key technology to improve the spectrum utilization in cognitive radio networks. First, the scenario is considered that several cognitive networks with finite user population coexist. Then, a three-dimensional Markov chain model is developed to analyze the performance of the partial channel sharing policy in the cases with and without channel handoff. Finally, the blocking probability, the forced termination probability, handoff probability of the users and the system throughput are analyzed by comparing with the static spectrum allocation policy and the hierarchical sharing policy. The simulation results show that the system with partial channel sharing policy will gain higher throughput by tolerating lower handoff probability and forced termination probability.