认知Ad hoc网络的频谱接入跨层设计方案

摘要

为提高分布式认知Ad hoc网络的频谱感知精准性和能量有效性,提出了一种基于能量效率的频谱接入跨层设计方案.首先通过基于感知因子的完全二分图分解法对网络进行分簇,进而在簇内联合优化次用户的发射功率和接入概率,最终得到最优信道接入和功率分配方案.仿真结果表明,与传统算法相比,该方案可通过合理分簇提高分布式认知网络的感知精度,在保证感知性能的条件下使系统能量效率得到有效提升.%In order to enhance the accuracy of spectrum sensing and energy efficiency of cognitive radio Ad hoc networks,this paper proposed a cross-layer design scheme based on energy efficiency.The clustering problem was solved through constraint maximum-weight edge bipartite decomposition scheme based on sensing reliability.Then it optimized the transmission power and the access probability of the secondary users in each cluster.It finally obtained the optimal channel access and power allocation scheme.Simulation results show that the scheme can enhance sensing accuracy of distributed cognitive network by rational clustering and substantially improve the energy efficiency under the premise of ensuring the sensing performance compared with the traditional algorithm.