Spectrum and energy efficient multi-antenna spectrum sensing for green UAV communication  

作　　者：Junlin Zhang Mingqian Liu Nan Zhao Yunfei Chen Qinghai Yang Zhiguo Ding 

机构地区：[1]State Key Laboratory of Integrated Service Networks,Xidian University,Shaanxi,Xi'an,710071,China [2]School of Information and Communication Engineering,Dalian University of Technology,Dalian,116024,China [3]Department of Engineering,University of Durham,Durham,DH13LE,UK [4]School of Electrical and Electronic Engineering,University of Manchester,Manchester,UK

出　　处：《Digital Communications and Networks》2023年第4期846-855,共10页数字通信与网络（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant 62071364 and 62231027;China Postdoctoral Science Foundation under Grant 2022M722504;in part by the Key Research and Development Program of Shaanxi under Grant 2023-YBGY-249;in part by the Fundamental Research Funds for the Central Universities under Grant XJSJ23090 and KYFZ23001.

摘　　要：Unmanned Aerial Vehicle(UAV)communication is a promising technology that provides swift and flexible ondemand wireless connectivity for devices without infrastructure support.With recent developments in UAVs,spectrum and energy efficient green UAV communication has become crucial.To deal with this issue,Spectrum Sharing Policy(SSP)is introduced to support green UAV communication.Spectrum sensing in SSP must be carefully formulated to control interference to the primary users and ground communications.In this paper,we propose spectrum sensing for opportunistic spectrum access in green UAV communication to improve the spectrum utilization efficiency.Different from most existing works,we focus on the problem of spectrum sensing of randomly arriving primary signals in the presence of non-Gaussian noise/interference.We propose a novel and improved p-norm-based spectrum sensing scheme to improve the spectrum utilization efficiency in green UAV communication.Firstly,we construct the p-norm decision statistic based on the assumption that the random arrivals of signals follow a Poisson process.Then,we analyze and derive the approximate analytical expressions of the false-alarm and detection probabilities by utilizing the central limit theorem.Simulation results illustrate the validity and superiority of the proposed scheme when the primary signals are corrupted by additive non-Gaussian noise and arrive randomly during spectrum sensing in the green UAV communication.

关 键 词：Green communication Multi-antenna spectrum sensing Non-Gaussian noise Unmanned aerial vehicle communication 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TN91[电子电信—通信与信息系统]