Joint Optimization of IRS-assisted MIMO Communications through a Deep Contextual Bandit Approach

4 pages•Published: February 16, 2023

Dariel Pereira-Ruisánchez, Óscar Fresnedo, Darian Pérez-Adán and Luis Castedo

Abstract

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.

Keyphrases: deep contextual bandits, intelligent reflecting surfaces, mimo

In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 28-31.

Links:	https://easychair.org/publications/paper/Kk2J
	https://doi.org/10.29007/jkd2

BibTeX entry

@inproceedings{XoveTIC2022:Joint_Optimization_IRS_assisted,
  author    = {Dariel Pereira-Ruisánchez and Óscar Fresnedo and Darian Pérez-Adán and Luis Castedo},
  title     = {Joint Optimization of IRS-assisted MIMO Communications through a Deep Contextual Bandit Approach},
  booktitle = {Proceedings of V XoveTIC Conference. XoveTIC 2022},
  editor    = {Alvaro Leitao and Lucía Ramos},
  series    = {Kalpa Publications in Computing},
  volume    = {14},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/Kk2J},
  doi       = {10.29007/jkd2},
  pages     = {28-31},
  year      = {2023}}

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