MAPPO-Based Cooperative UAV Trajectory Design with Long-Range Emergency Communications in Disaster Areas
Ref: CISTER-TR-230401 Publication Date: 12 to 15, Jun, 2023
MAPPO-Based Cooperative UAV Trajectory Design with Long-Range Emergency Communications in Disaster Areas
Ref: CISTER-TR-230401 Publication Date: 12 to 15, Jun, 2023Abstract:
This paper investigates the cooperative real-time trajectory design issue for multiple unmanned aerial vehicles (UAVs) to support long-range emergency communications in disaster areas. To quickly restore the communication links between mobile users (MUs) and base stations, UAVs equipped with a radio frequency (RF) module and a free space optical (FSO) module serve as relay nodes. Given the difficulty of setting up a central controller for UAVs and the urgency of emergency communication, the UAV trajectory design issue is formulated as a distributed cooperative optimization problem. A collaborative multi-UAV trajectory design method based on multi-agent proximal policy optimization (MAPPO) is adopted to improve RF/FSO channel throughput. Compared with the state-of-the-art DRL methods, MAPPO can achieve higher RF allocation efficiency and increase the FSO communication backhaul capacity.
Document:
The 24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (WoWMoM 2023), The 1st IEEE Workshop on Wireless outdoor, Long-Range and Low-Power Networks (WOLOLO).
Boston, Massachusetts, U.S.A..
Notes: Kai Li is also an organizing committee member for The 1st IEEE Workshop on Wireless outdoor, Long-Range and Low-Power Networks (WOLOLO).
Record Date: 11, Apr, 2023