Joint UL/DL Resource Allocation for UAV-Aided Full-Duplex NOMA Communications

Wenjuan Shi, Yanjing Sun, Miao Liu, Hua Xu, Guan Gui, Tomoaki Ohtsuki, Bamidele Adebisi, Haris Gacanin, Fumiyuki Adachi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper proposes an unmanned aerial vehicle (UAV)-aided full-duplex non-orthogonal multiple access (FD-NOMA) method to improve spectrum efficiency. Here, UAV is utilized to partially relay uplink data and achieve channel differentiation. Successive interference cancellation algorithm is used to eliminate the interference from different directions in FD-NOMA systems. Firstly, a joint optimization problem is formulated for the uplink and downlink resource allocation of transceivers and UAV relay. The receiver determination is performed using an access-priority method. Based on the results of the receiver determination, the initial power of ground users (GUs), UAV, and base station is calculated. According to the minimum sum of the uplink transmission power, the Hungarian algorithm is utilized to pair the users. Secondly, the subchannels are assigned to the paired GUs and the UAV by a message-passing algorithm. Finally, the transmission power of the GUs and the UAV is jointly fine-tuned using the proposed access control methods. Simulation results confirm that the proposed method achieves higher performance than state-of-the-art orthogonal frequency division multiple-access method in terms of spectrum efficiency, energy efficiency, and access ratio of the ground users.

Original languageEnglish
JournalIEEE Transactions on Communications
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Unmanned aerial vehicle
  • full-duplex
  • message passing
  • non-orthogonal multiple access
  • resource allocation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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