{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:24:43Z","timestamp":1775067883119,"version":"3.50.1"},"reference-count":0,"publisher":"EasyChair","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>The multiple-input multiple-output (MIMO) communications and the intelligent re- flecting surfaces (IRSs) have been envisioned as key technologies for beyond 5G mobile networks. However, the computational complexity of conventional approaches to jointly optimize IRS-assisted MIMO communication systems constitutes a major limitation to their deployment. In this paper, we present an innovative contextual bandit (CB)-based approach for the optimization of the MIMO precoders and the IRS phase-shift matrix en- tries. The proposed optimization framework, termed as deep contextual bandit-oriented deep deterministic policy gradient (DCB-DDPG), considers a CB formulation with con- tinuous state and action spaces. The simulation results show that our proposal performs remarkably better than state-of-the-art heuristic methods in high-interference scenarios.<\/jats:p>","DOI":"10.29007\/jkd2","type":"proceedings-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T23:10:14Z","timestamp":1676589014000},"page":"28-23","source":"Crossref","is-referenced-by-count":1,"title":["Joint Optimization of IRS-assisted MIMO Communications through a Deep Contextual Bandit Approach"],"prefix":"10.29007","volume":"14","author":[{"given":"Dariel","family":"Pereira-Ruis\u00e1nchez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00d3scar","family":"Fresnedo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darian","family":"P\u00e9rez-Ad\u00e1n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis","family":"Castedo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11545","event":{"name":"Proceedings of V XoveTIC Conference. XoveTIC 2022"},"container-title":["Kalpa Publications in Computing"],"original-title":[],"deposited":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T23:10:33Z","timestamp":1676589033000},"score":1,"resource":{"primary":{"URL":"https:\/\/easychair.org\/publications\/paper\/Kk2J"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.29007\/jkd2","relation":{},"ISSN":["2515-1762"],"issn-type":[{"value":"2515-1762","type":"print"}],"subject":[]}}