TY - GEN
T1 - Multi-Antenna Spectrum Sensing with Randomly Arriving Primary Users for UAV Communication
AU - Liu, Mingqian
AU - Zhang, Junlin
AU - Zhao, Nan
AU - Chen, Yunfei
AU - Ding, Zhiguo
N1 - 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:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Multi-antenna spectrum sensing
KW - non-Gaussian noise
KW - random arrival
KW - unmanned aerial vehicle communication
UR - http://www.scopus.com/inward/record.url?scp=85137266198&partnerID=8YFLogxK
U2 - 10.1109/ICC45855.2022.9838275
DO - 10.1109/ICC45855.2022.9838275
M3 - Conference contribution
AN - SCOPUS:85137266198
T3 - IEEE International Conference on Communications
SP - 3978
EP - 3982
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -