Cost-benefit Analysis of Cooperative Spectrum Sensing Under Detection Delay Constraint for CUAVNs

Jun Wu, Pei Li, J. Bao, Tiecheng Song
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引用次数: 4

Abstract

In order to meet the unmanned aerial vehicles (UAVs)’ spectrum demand, cooperative spectrum sensing (CSS) helps in identifying the unused spectrum in cognitive UAV networks (CUAVNs). However, the location flexibility of the flying UAV makes inter-frame CSS among multiple spectrum sensing nodes inefficient, specifically the CSS performance cannot be guaranteed under the detection delay constraint. In this paper, we formulate an intra-frame CSS to undertake cooperation between multiple mini-slots. Moreover, considering the interference control of the primary network and the spectrum requirements of UAVs, we are motivated by the sequential detection to make an in-depth analysis on the cost and benefit of the intra-frame CSS under the detection delay constraint. Furthermore, we formulate and verify the utility function based on the cost and benefit. Simulation results corroborate our theoretical analyses on the intra-frame CSS under the detection delay constraint, and verify the correctness and effectiveness of the cost and benefit for UAVs. Comparing to the traditional inter-frame CSS among multiple UAV sensing nodes, numerical results are also presented the superiority of our proposal with respect to the performance and utility.
检测延迟约束下cuavn协同频谱感知的成本效益分析
为了满足无人机对频谱的需求,协同频谱感知(CSS)有助于识别认知无人机网络(CUAVNs)中的未使用频谱。然而,无人机飞行的位置灵活性使得多频谱感知节点间的帧间CSS效率低下,特别是在检测延迟约束下,CSS的性能无法得到保证。在本文中,我们制定了一个框架内的CSS来承担多个小槽之间的合作。此外,考虑到主网络的干扰控制和无人机的频谱需求,在序列检测的激励下,我们对帧内CSS在检测延迟约束下的成本和效益进行了深入分析。在此基础上,基于成本和效益,构建并验证了效用函数。仿真结果验证了我们在检测延迟约束下对帧内CSS的理论分析,验证了成本效益对无人机的正确性和有效性。与传统的多无人机感知节点间帧间CSS相比,数值结果也显示了我们的方案在性能和实用性方面的优势。
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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