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Performance analysis of intra-frame cooperative spectrum sensing in cognitive UAV networks

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Abstract

Cognitive radio (CR) is a revolutionary paradigm to migrate the spectrum scarcity problem in wireless networks. In view of the spectrum scarcity of unmanned aerial vehicles (UAVs) communication system, cooperative spectrum sensing (CSS) has emerged as a key function of CR to identify the available spectrum for UAV sensing nodes. However, the flexible locations of flying UAVs make CSS a difficult task, which in turn makes it difficult for CSS performance to meet UAV requirements. In this paper, we design an intra-frame cooperation way to achieve CSS for cognitive UAV networks (CUAVNs), which provides the same CSS performance as the traditional inter-frame cooperation and higher throughput for UAVs. Furthermore, considering certain performance requirements in CUAVNs, we propose sequential probability ratio test (SPRT)-based CSS method, and further make an in-depth analysis of relationship among performance indices of CSS and approximate the actual detection performance and the stop** time by ignoring the excess over the boundaries and the random walk. Finally, numerical results corroborate the effectiveness and correctness of our theoretical analysis, while comparison results also represent the superiority of our proposal.

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Funding

This work is supported by the National Natural Science Foundation of Zhejiang Province (No. LQ22F010013), Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (No. 2022D16), Open Fund Project of Sichuan Provincial Key Laboratory of Artificial Intelligence (No. 2021RYJ07), Fundamental Research Funds for the Provincial Universities of Zhejiang (No. GK209907299001-023), and 2020 Annual Teachers' Professional Development Project of Domestical Visiting Scholars in Institutions of Higher Education (No. FX2020009).

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Authors and Affiliations

  1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China

    Jun Wu & Haoyuan Ge

  2. National Mobile Communications Research Laboratory, Southeast University, Nan**g, Jiangsu Province, China

    Jun Wu

  3. Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, Sichuan Province, China

    Jun Wu

  4. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang Province, China

    Jun Wu

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  1. Jun Wu
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Correspondence to Jun Wu.

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Wu, J., Ge, H. Performance analysis of intra-frame cooperative spectrum sensing in cognitive UAV networks. Wireless Netw 28, 1689–1701 (2022). https://doi.org/10.1007/s11276-022-02931-z

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