Joint spectrum sensing and primary user localization for cognitive radio via compressed sensing

Xue Li, Qian Han, V. Chakravarthy, Zhiqiang Wu
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引用次数: 24

Abstract

Radio spectrum has become a precious resource, and it has long been the dream of wireless communication engineers to maximize the utilization of the radio spectrum. Dynamic Spectrum Access (DSA) and Cognitive Radio (CR) have been considered promising to enhance the efficiency and utilization of the spectrum. In current overlay cognitive radio, spectrum sensing is first performed to detect the spectrum holes for the secondary user to harness. However, in a more sophisticated cognitive radio, the secondary user needs to detect more than just the existence of primary users and spectrum holes. For example, in a hybrid overlay/underlay cognitive radio, the secondary use needs to detect the transmission power and localization of the primary users as well. In this paper, we combine the spectrum sensing and primary user power/localization detection together, and propose to jointly detect not only the existence of primary users but the power and localization of them via compressed sensing. Simulation results including the miss detection probability (MDP), false alarm probability (FAP) and reconstruction probability (RP) confirm the effectiveness and robustness of the proposed method.
基于压缩感知的认知无线电联合频谱感知与主用户定位
无线电频谱已成为一种宝贵的资源,最大限度地利用无线电频谱一直是无线通信工程师的梦想。动态频谱接入(Dynamic Spectrum Access, DSA)和认知无线电(Cognitive Radio, CR)被认为是提高频谱效率和利用率的有效方法。在当前的叠加认知无线电中,首先进行频谱感知以检测频谱漏洞,供二次用户利用。然而,在更复杂的认知无线电中,次要用户需要检测的不仅仅是主要用户和频谱漏洞的存在。例如,在混合覆盖/底层认知无线电中,次要用途也需要检测主要用户的传输功率和定位。本文将频谱感知与主用户功率/定位检测相结合,提出通过压缩感知不仅检测主用户的存在,而且检测主用户的功率和定位。仿真结果包括脱靶概率(MDP)、虚警概率(FAP)和重建概率(RP),验证了该方法的有效性和鲁棒性。
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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