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

发布时间：2018-05-25 05:40

本文选题：频谱感知 + 异构　；参考：《科学技术与工程》2017年14期

【摘要】：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。
[Abstract]:At present, the wireless spectrum is becoming increasingly scarce in cognitive heterogeneous networks, and the traditional fixed spectrum allocation mode has become an important bottleneck restricting the performance of wireless communication, especially in the case of non-ideal spectrum sensing. A convex optimal resource allocation algorithm based on cognitive heterogeneous networks is proposed to achieve efficient allocation of wireless resources in the case of non-ideal spectrum sensing. The algorithm firstly constructs a user arrival model based on the primary user activity to accurately describe the spectrum usage status of the primary user in the cognitive network and provide the basis for the cognitive user to allocate resources. The interference tolerance condition under the condition of non-ideal spectrum sensing is constructed by interference analysis of cognitive heterogeneous network. Finally, the optimal allocation of spectrum resources in cognitive network is realized by convex optimization algorithm. Simulation results show that the proposed algorithm can effectively reduce the average delay and improve the transmission rate and throughput of cognitive heterogeneous networks under the condition of non-ideal spectrum sensing.
【作者单位】：福建师范大学闽南科技学院;厦门大学信息科学与技术学院;
【基金】：福建师范大学闽南科技学院教学改革项目(JG2014002);福建师范大学闽南科技学院本科教学工程培育项目(PYXM-2015-01)资助
【分类号】：TN925

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