Paper Info
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.
Year
DOI
Venue
2022
10.1109/ICC45855.2022.9838275
ICC 2022 - IEEE International Conference on Communications
Keywords
DocType
ISSN
Multi-antenna spectrum sensing,non-Gaussian noise,random arrival,unmanned aerial vehicle communication
Conference
1550-3607
ISBN
Citations 
PageRank 
978-1-5386-8348-4
0
0.34
References 
Authors
13
5
Name
Order
Citations
PageRank
Mingqian Liu100.34
Junlin Zhang200.68
Nan Zhao31591123.85
Yunfei Chen411745.25
Zhiguo Ding57031399.47