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

研究成果同行評審

摘要

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.

原文English
頁(從 - 到)473-476
頁數4
期刊Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
DOIs
出版狀態Published - 2022
事件19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022 - Virtual, Online, 美國
持續時間: 8 1月 202211 1月 2022

指紋

深入研究「UAV-FAP: User Fairness-Driven Access Point on UAV for Wi-Fi Networks」主題。共同形成了獨特的指紋。

引用此