Wireless communication using unmanned aerial vehicles (UAVs), such as drones, is expected to be a promising solution for improving spectral efficiency in 5G wireless networks. Moreover, full-duplex (FD) has been in the spotlight as a key technology for improving network performance. In this work, we design an energy-efficient medium access control (MAC) protocol for a UAV base-station (UAV–BS) aided FD wireless communication network and demonstrate a comprehensive analytical model considering the FD pair probability. In the proposed FD MAC protocol, the FD UAV-BS focuses on energy efficiency when establishing the FD pair. Throughput is also enhanced by transmitting downlink data without decreasing the uplink data rate. We consider the FD pair probability to improve the accuracy of the analytical model. Although the FD pair probability is an important parameter for performance analysis, it has rarely been addressed in most previous works. We analyze FD pair probability according to the altitude of the FD UAV-BS and the node transmission power. The analytical model can reflect an actual network better than prior works by considering the FD pair probability. Through extensive simulations using MATLAB and the Riverbed Modeler, we verified the superiority of the proposed FD MAC protocol and the accuracy of the analytical model.
Manuscript received November 23, 2022 revised March 29, 2023; approved for publication by Chan-Byong Chae, Division 2 Editor, April 10, 2023. The authors gratefully acknowledge the support from Nano UAV Intelligence Systems Research Laboratory at Kwangwoon University, originally funded by Defense Acquisition Program Administration (DAPA) and Agency for Defense Development (ADD). T.-Y. Kim and W.-J. Lee are with the Department of Artificial Intelligence Convergence Network, Ajou University, Suwon 16499, South Korea, email: {xodbsxogjs, ljmwon}@ajou.ac.kr. J.-K. Kim is with the Department of Command and Control Systems PMO Team 1, ADD, Seoul 05661, South Korea, email: kjkcop@add.re.kr. S. Jung and J.-H. Kim are with the Department of Electrical and Computer Engineering, Ajou University, Suwon 16499, South Korea, email: {sjung, jkim}@ajou.ac.kr. S. Jung and J.-H. Kim are the corresponding authors. Digital Object Identifier: 10.23919/JCN.2023.000017