认知异构网络中基于非理想频谱感知的凸优化资源分配算法

Abstract

当前认知异构网络中无线频谱日益紧缺,而传统固定频谱分配模式日益成为限制无线通信性能的重要瓶颈,在非理想频谱感知情况下资源分配的问题尤为突出。为实现非理想频谱感知情况下无线资源的高效分配,提出一种基于认知异构网络的凸优化资源分配算法。该算法首先构建了基于主用户活跃度的用户到达模型,以精确描述认知网络中主用户的频谱使用状态,为认知用户分配资源提供依据;并通过认知异构网络干扰分析构建非理想频谱感知条件下的干扰容限条件,最后通过凸优化算法实现对认知网络中频谱资源的优化分配。仿真结果表明,在非理想频谱感知条件下,该算法能够有效降低系统平均时延,提升认知异构网络的传输速率和系统吞吐量。

The cognitive radio spectrum in heterogeneous networks become increasingly scarce, and thetraditional fixed spectrum allocation model has become an important bottleneck of wireless communication. Theproblem of the allocation of resources under imperfect spectrum sensing is particularly prominent. To realizeeficient allocation of wireless resources under imperfect spectrum sensing,our paper presents a convex optimization resource allocation algorithm in Cognitive Heterogeneous Networks. Firstly,it constructs the arriving model basedon the primary users activity,and accurately describes the spectrum usage of primary users,provides a basis for cognitive users to allocate resources. Through cognitive heterogeneous network interference analysis,w e reason out of the interference tolerance limits under imperfect spectrum sense, and finally proposes a convex optimizationalgorithm to achieve an optimal allocation of spectrum resources. Simulation results show thatunder tlie imperfectspectrum sensing,this method can effectively reduce the average delay of system,and improve transmission speedand the overall throughput of the cognitive heterogeneous network.