@inproceedings{52e15a2e79224e2f8578a803bfc338ce,
title = "Multi-Antenna Spectrum Sensing with Randomly Arriving Primary Users for UAV Communication",
abstract = "Unmanned aerial vehicle (UAV) communication is a promising technology that provides swift and flexible on-demand wireless connectivity for devices without infrastructure support. The proliferation of UAV communication equipment is causing the limited spectrum to become crowded. To deal with this issue, spectrum sharing policy (SSP) is introduced to support 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 UAV communication to improve the spectrum utilization efficiency. Different from most existing works, we focus on the problem of spectrum sensing with randomly arriving primary signals in the presence of non-Gaussian noise/interference. We propose a novel spectrum sensing scheme to improve the spectrum utilization efficiency in UAV communication. We construct the p-norm decision statistic based on the assumption that the random arrivals of signals follow a Poisson process. Simulation results illustrate the validity and superiority of the proposed scheme when the primary signals are corrupted by additive non-Gaussian noise and are arriving randomly during spectrum sensing in the UAV communication.",
keywords = "Multi-antenna spectrum sensing, non-Gaussian noise, random arrival, unmanned aerial vehicle communication",
author = "Mingqian Liu and Junlin Zhang and Nan Zhao and Yunfei Chen and Zhiguo Ding",
note = "Funding Information: This work was supported by the National Natural Science Foundation of China under Grant 62071364, in part by the Aeronautical Science Foundation of China under Grant 2020Z073081001, in part by the Fundamental Research Funds for the Central Universities under Grant JB210104, and in part by the 111 Project under Grant B08038. Junlin Zhang is the corresponding author (
[email protected]). Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Communications, ICC 2022 ; Conference date: 16-05-2022 Through 20-05-2022",
year = "2022",
doi = "10.1109/ICC45855.2022.9838275",
language = "British English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3978--3982",
booktitle = "ICC 2022 - IEEE International Conference on Communications",
address = "United States",
}