Full-Duplex UAV Relaying for Multiple User Pairs

Bing Li, Shengjie Zhao, Rongqing Zhang, Liuqing Yang

Research output: Contribution to journalArticlepeer-review


Based on the advantages of small size, lightweight, as well as flexible deployment and recycling, unmanned aerial vehicle (UAV) has been more and more widely used in military and civilian. As flying relays, UAVs can quickly set up relay communication links for different missions, to enhance the receiving signal power, increase the system capacity, and expand the communication coverage. In this article, we investigate full-duplex (FD) UAV relaying for multiple source-destination pairs. To fully exploit the flying flexibility of the UAV in serving multiple source-destination pairs, we propose a scheduling protocol that exploits time-division multiple access (TDMA) to serve different source-destination pairs in turns when flying along an optimized trajectory. Then, we further formulate a joint optimization problem of the TDMA-based user scheduling, the dynamic UAV trajectory, and the UAV transmit power to maximize the system throughput. The formulated problem is nonconvex that makes it difficult to solve directly, hence we propose an iterative algorithm to obtain an approximate optimal solution based on block coordinate descent and successive convex optimization techniques. Simulation results demonstrate that our proposed FD-based UAV relaying network achieves significant throughput gains compared with the half-duplex (HD) baseline, and the TDMA-based protocol outperforms the OFDMA-based ones with fixed UAV position/trajectory when the UAV helps relay information for multiple source-destination pairs.

Original languageEnglish (US)
Article number9209050
Pages (from-to)4657-4667
Number of pages11
JournalIEEE Internet of Things Journal
Issue number6
StatePublished - Mar 15 2021

Bibliographical note

Publisher Copyright:
© 2014 IEEE.


  • Full-duplex (FD) relaying
  • UAV
  • multiple source-destination pairs
  • time-division multiple access (TDMA)
  • unmanned aerial vehicle (UAV) trajectory scheduling


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