Constraint Based Cooperative Spectrum Sensing for Cognitive Radio Network

S. Deka, Prakash Chauhan, N. Sarma
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引用次数: 8

Abstract

Cognitive Radio (CR) is a key technology that has been proposed to exploit the unused spectrum holes opportunistically. In CR communication, the issues of shadowing, multipath fading affect performance of spectrum sensing function that impacts the detection performance of secondary users (SUs). Cooperative Spectrum Sensing (CSS) has proven to be an emerging scheme which significantly improves spectrum sensing performance by utilizing spatial diversity of the SUs. This paper proposes a game theory based coalition model. The main contribution of this work is to consider the constraint during cooperation due to cost involved in reporting time and reporting energy. A formulation has been proposed to decide the optimal size of a coalition and a scheme for dynamic selection of coalition head. In the game, the condition to achieve the coalition stability is carried out. Simulation results have shown the efficacy of the proposed model that enhances the sensing performance significantly.
基于约束的认知无线电网络协同频谱感知
认知无线电(CR)是一种利用未利用的频谱漏洞的关键技术。在CR通信中,阴影、多径衰落等问题会影响频谱感知功能的性能,进而影响二次用户的检测性能。协同频谱感知(CSS)是一种新兴的频谱感知方案,它利用单元的空间多样性显著提高了频谱感知性能。本文提出了一个基于博弈论的联盟模型。本工作的主要贡献在于考虑了合作过程中由于报告时间和报告精力所涉及的成本而产生的约束。提出了一种确定联盟最优规模的公式和联盟首领的动态选择方案。在博弈中,对实现联盟稳定的条件进行了分析。仿真结果表明了该模型的有效性,显著提高了传感性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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