TY - GEN
T1 - Detecting Suspicious Wireless Transmission by an Aerial Base Station
AU - Jiang, Xu
AU - Ji, Xiuzhao
AU - Yang, Hongjuan
AU - Li, Bo
AU - Tang, Jie
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Owing to the flexible deployment and the high possibility of line-of-sight (LoS) air-ground channel, an autonomous aerial vehicle (AAV) has been extensively employed to support air-ground communications and monitor suspicious terrestrial activities. In this paper, we investigate the detection of suspicious terrestrial transmission by an AAV-enabled aerial base station. Specifically, the AAV serves the ground users as an aerial base station and detects the transmitting behavior of a potential terrestrial transmitter simultaneously. Our objective is to minimize the average detection error probability by optimizing the transmit power, trajectory and detection threshold of the AAV. Since the length of each time slot is limited, we consider the scenario that the AAV can only have limited number of detection samples per time slot. We analyze the detection performance of the AAV and obtain its monotonicity. Then, we propose an iterative algorithm to achieve the optimized AAV time slot, transmit power and trajectory by exploiting the monotonicity of the detection error probability. The numerical results show that our proposed scheme can efficiently enhance the detection performance.
AB - Owing to the flexible deployment and the high possibility of line-of-sight (LoS) air-ground channel, an autonomous aerial vehicle (AAV) has been extensively employed to support air-ground communications and monitor suspicious terrestrial activities. In this paper, we investigate the detection of suspicious terrestrial transmission by an AAV-enabled aerial base station. Specifically, the AAV serves the ground users as an aerial base station and detects the transmitting behavior of a potential terrestrial transmitter simultaneously. Our objective is to minimize the average detection error probability by optimizing the transmit power, trajectory and detection threshold of the AAV. Since the length of each time slot is limited, we consider the scenario that the AAV can only have limited number of detection samples per time slot. We analyze the detection performance of the AAV and obtain its monotonicity. Then, we propose an iterative algorithm to achieve the optimized AAV time slot, transmit power and trajectory by exploiting the monotonicity of the detection error probability. The numerical results show that our proposed scheme can efficiently enhance the detection performance.
KW - Aerial base station
KW - iterative optimization
KW - signal detection
KW - trajectory optimization
UR - https://www.scopus.com/pages/publications/105033656251
U2 - 10.1109/WCSP68525.2025.1010391
DO - 10.1109/WCSP68525.2025.1010391
M3 - 会议稿件
AN - SCOPUS:105033656251
T3 - 2025 17th International Conference on Wireless Communications and Signal Processing, WCSP 2025
BT - 2025 17th International Conference on Wireless Communications and Signal Processing, WCSP 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 17th International Conference on Wireless Communications and Signal Processing, WCSP 2025
Y2 - 23 October 2025 through 25 October 2025
ER -