UAV-FAP: User Fairness-Driven Access Point on UAV for Wi-Fi Networks

Yung Chuan Wu, Hong Rong Chang, Meng Shou Wu, Chi Yu Li, Kuochen Wang

Research output: Contribution to journalConference articlepeer-review


Unmanned aerial vehicle (UAV) has been an emerging technology used for various applications. Enabling wireless base station (e.g., Wi-Fi AP) on UAV can be one of promising UAV applications. In this work, we focus on a performance fairness issue on ground Wi-Fi users and aim to maximize the minimum throughput performance among them. To this end, we propose a solution, designated UAV-FAP (UAV with user Fairness-driven AP), to drive UAV-AP to reach a location that can offer max-min throughput performance. It employs a heuristic-based hierarchical search method to search for the target location efficiently. By conducting experiments on a real UAV-AP platform, we first study the issues of antenna pointing direction and vertical/horizontal UAV-AP placement, and then collect Wi-Fi throughput statistics for a trace-driven simulator in the evaluation. The evaluation result shows that UAV-FAP can outperform the default case, where the UAV-AP stays at the center of a serving area, by 2.0%-21.5% throughput gains; in some cases, it takes as small as only 7% of the moving distance needed by a fine-grained exhaustive search to reach target max-min locations.

Original languageEnglish
Pages (from-to)473-476
Number of pages4
JournalProceedings - IEEE Consumer Communications and Networking Conference, CCNC
StatePublished - 2022
Event19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 - Virtual, Online, United States
Duration: 8 Jan 202211 Jan 2022


  • AP
  • UAV
  • Unmanned aerial vehicle
  • Wi-Fi


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