Waqar, N;
Wong, KK;
Chae, CB;
Murch, R;
Jin, S;
Sharples, A;
(2024)
Opportunistic Fluid Antenna Multiple Access via Team-Inspired Reinforcement Learning.
IEEE Transactions on Wireless Communications
10.1109/TWC.2024.3387855.
(In press).
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Abstract
The emergence of fluid antenna systems (FAS) offers a novel technique for obtaining spatial diversity and leveraging interference fades for spectrum sharing in multiuser scenarios—a paradigm referred to as fluid antenna multiple access (FAMA). Nevertheless, as the number of users increases, the interference mitigation capability diminishes. To overcome this, opportunistic scheduling that prioritizes robust users proves to be an effective method for enhancing FAMA. This paper introduces a resilient decentralized reinforcement learning (RL) approach for opportunistic FAMA (O-FAMA), to autonomously select robust users and the port of each chosen user’s FAS jointly to maximize the network sum-rate. In order to enhance learning efficiency in this multi-agent environment, we propose a novel team-theoretic RL framework that includes a derivative network guiding the multi-agent learning of each solution’s policy networks. Our simulation results confirm the effectiveness of the proposed methodology.
| Type: | Article |
|---|---|
| Title: | Opportunistic Fluid Antenna Multiple Access via Team-Inspired Reinforcement Learning |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TWC.2024.3387855 |
| Publisher version: | http://dx.doi.org/10.1109/twc.2024.3387855 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For the purpose of open access, the authors will apply a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. |
| Keywords: | Fluid antenna system, FAS, fluid antenna multiple access, FAMA, multiuser communications, opportunistic scheduling, reinforcement learning, team theory |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10192000 |
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