Joint User Association and UAV Location Optimization for UAV-Aided Communications

Xing Xi, Xianbin Cao, Peng Yang, Jingxuan Chen, Tony Quek, Dapeng Wu

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


This letter is concerned with investigating a joint user association and unmanned aerial vehicle (UAV) location optimization problem for UAV-aided communications. Different from the majority of existing studies, this letter aims at deriving solutions to the joint optimization problem that is modeled as a mixed-integer non-convex optimization problem (MINCOP) with a goal of maximizing users' total achievable data rates. A novel iterative optimization scheme is proposed to handle the MINCOP. Specifically, the MINCOP is first decomposed into an integer optimization subproblem and a non-convex optimization subproblem. An iterative algorithm is then developed to optimize these two separated subproblems alternatively. Besides, the non-convexity of the non-convex subproblem is handled via successive convex approximation. Based on approximate results, Karush-Kuhn-Tucker (KKT) conditions are leveraged to obtain the evolutionary-form solution to the joint optimization problem. The comparison with the state-of-the-art verifies that the developed algorithm is convergent and is able to achieve good performance.

Original languageEnglish
Article number8811579
Pages (from-to)1688-1691
Number of pages4
JournalIEEE Wireless Communications Letters
Issue number6
Publication statusPublished - 2019 Dec

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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