De Simone, L;
Zhu, Y;
Xia, W;
Dagiuklas, T;
Wong, KK;
(2021)
Multi-Agent Learning Approach for UAVs Enabled Wireless Networks.
In:
13th International Conference on Wireless Communications and Signal Processing, WCSP 2021.
IEEE
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Abstract
The unmanned aerial vehicle (UAV) technology provides a potential solution to scalable wireless edge networks. This paper uses two UAVs, with accelerated motions and fixed altitudes, to realize a wireless edge network, where one UAV forwards the downlink signal to user terminals (UTs) distributed over an area where another UAV collects uplink data. Both downlink and uplink transmissions consider the active user probability and the queue structure as well as the hovering times of UAVs. Specifically, we develop a novel joint Q-Learning multi-agent (JQ-LMA) algorithm to maximize the overall energy efficiency of the edge networks, through optimizing the UAVs trajectories, transmit powers, and the resistant distance between UAVs. The simulation results demonstrate that the proposed algorithm achieves much higher energy efficiency than other benchmark schemes.
| Type: | Proceedings paper |
|---|---|
| Title: | Multi-Agent Learning Approach for UAVs Enabled Wireless Networks |
| Event: | 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP) |
| Dates: | 20 Oct 2021 - 22 Oct 2021 |
| ISBN-13: | 9781665407854 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/WCSP52459.2021.9613533 |
| Publisher version: | https://doi.org/10.1109/WCSP52459.2021.9613533 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Training, Energy consumption, Wireless networks, Simulation, Signal processing algorithms, Autonomous aerial vehicles, Downlink |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10142824 |
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