TY - JOUR
T1 - UAV-FAP
T2 - 19th IEEE Annual Consumer Communications and Networking Conference, CCNC 2022
AU - Wu, Yung Chuan
AU - Chang, Hong Rong
AU - Wu, Meng Shou
AU - Li, Chi Yu
AU - Wang, Kuochen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - AP
KW - UAV
KW - Unmanned aerial vehicle
KW - Wi-Fi
UR - http://www.scopus.com/inward/record.url?scp=85135731041&partnerID=8YFLogxK
U2 - 10.1109/CCNC49033.2022.9700521
DO - 10.1109/CCNC49033.2022.9700521
M3 - Conference article
AN - SCOPUS:85135731041
SN - 2331-9860
SP - 473
EP - 476
JO - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
JF - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
Y2 - 8 January 2022 through 11 January 2022
ER -