Multi-cell Edge Coverage Enhancement Using Mobile UAV-Relay

Research output: Contribution to journalArticle

Authors

  • Yukuan Ji
  • Zhaohui Yang
  • Hong Shen
  • Wei Xu
  • Kezhi Wang
  • Xiaodai Dong

External departments

  • Southeast University
  • University of Victoria BC
  • King's College London

Details

Original languageEnglish
JournalIEEE Internet of Things Journal
Early online date3 Apr 2020
DOIs
Publication statusE-pub ahead of print - 3 Apr 2020
Publication type

Research output: Contribution to journalArticle

Abstract

Unmanned aerial vehicle (UAV)-assisted communication is a promising technology in future wireless communication networks. UAVs can not only help offload data traffic from ground base stations (GBSs), but also improve the quality of service of cell-edge users (CEUs). In this paper, we consider the enhancement of cell-edge communications through a mobile relay, i.e., UAV, in multi-cell networks. During each transmission period, GBSs first send data to the UAV, and then the UAV forwards its received data to CEUs according to a certain association strategy. In order to maximize the sum rate of all CEUs, we jointly optimize the UAV mobility management, including trajectory, velocity, and acceleration, and association strategy of CEUs to the UAV, subject to minimum rate requirements of CEUs, mobility constraints of the UAV and causal buffer constraints in practice. To address the mixed-integer nonconvex problem, we transform it into two convex subproblems by applying tight bounds and relaxations. An iterative algorithm was proposed to solve the two subproblems in an alternating manner. Numerical results show that the proposed algorithm achieves higher rates of CEUs as compared with existing benchmark schemes.

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