Cover Image

Deep Reinforcement Learning for Hybrid RIS Assisted MIMO Communications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Phuong Nam, Nguyen, Nhan Thanh, Juntti, Markku
Format:	Preprint
Published:	2026
Subjects:	Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO
by: Tran, Phuong Nam, et al.
Published: (2026)

Deep Reinforcement Learning for Dynamic Sensing and Communications
by: Zakeri, Abolfazl, et al.
Published: (2025)

Switch-based Hybrid Beamforming Transceiver Design for Wideband Communications with Beam Squint
by: Ma, Mengyuan, et al.
Published: (2022)

Hybrid Receiver Design for Massive MIMO-OFDM with Low-Resolution ADCs and Oversampling
by: Ma, Mengyuan, et al.
Published: (2024)

Analysis of Oversampling in Uplink Massive MIMO-OFDM with Low-Resolution ADCs
by: Ma, Mengyuan, et al.
Published: (2023)

Joint Beamforming Design and Bit Allocation in Massive MIMO with Resolution-Adaptive ADCs
by: Ma, Mengyuan, et al.
Published: (2024)

Digital and Hybrid Precoding Designs in Massive MIMO with Low-Resolution ADCs
by: Ma, Mengyuan, et al.
Published: (2024)

AoI-Aware Machine Learning for Constrained Multimodal Sensing-Aided Communications
by: Zakeri, Abolfazl, et al.
Published: (2025)

Attention-Enhanced Learning for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
by: Ma, Mengyuan, et al.
Published: (2025)

Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
by: Nguyen, Nhan Thanh, et al.
Published: (2024)

Multi-Static Cell-Free Massive MIMO ISAC: Performance Analysis and Power Allocation
by: Nguyen, Nhan Thanh, et al.
Published: (2024)

Dynamic Joint Communications and Sensing Precoding Design: A Lyapunov Approach
by: Zakeri, Abolfazl, et al.
Published: (2025)

Constrained Multimodal Sensing-Aided Communications: A Dynamic Beamforming Design
by: Zakeri, Abolfazl, et al.
Published: (2025)

Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems
by: Fang, Tianyu, et al.
Published: (2025)

Beamforming Design for Max-Min Fairness Performance Balancing in ISAC Systems
by: Fang, Tianyu, et al.
Published: (2024)

AI-Empowered Hybrid MIMO Beamforming
by: Shlezinger, Nir, et al.
Published: (2023)

Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems
by: Zakeri, Abolfazl, et al.
Published: (2025)

Low-Complexity Near-Field Channel Estimation for Hybrid RIS Assisted Systems
by: Schroeder, Rafaela, et al.
Published: (2024)

Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications
by: Ma, Mengyuan, et al.
Published: (2025)

Performance Analysis and Power Allocation for Massive MIMO ISAC Systems
by: Nguyen, Nhan Thanh, et al.
Published: (2024)

Positioning via Probabilistic Graphical Models in RIS-Aided Systems with Channel Estimation Errors
by: Tercas, Leonardo, et al.
Published: (2025)

Knowledge Distillation for Collaborative Learning in Distributed Communications and Sensing
by: Nguyen, Nhan Thanh, et al.
Published: (2026)

Doppler-Robust Maximum Likelihood Parametric Channel Estimation for Multiuser MIMO-OFDM
by: Pinto, Enrique T. R., et al.
Published: (2024)

Exploiting Symmetric Non-Convexity for Multi-Objective Symbol-Level DFRC Signal Design
by: Nguyen, Ly V., et al.
Published: (2025)

Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking
by: Ma, Mengyuan, et al.
Published: (2026)

Sequential MAP Parametric OFDM Channel Estimation for Joint Sensing and Communication
by: Pinto, Enrique T. R., et al.
Published: (2024)

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
by: Ma, Mengyuan, et al.
Published: (2024)

Exploring the Near and Far-Field Coexistence for RIS-Assisted ISAC Systems: An Adaptive Bandwidth Splitting Approach
by: Yoo, Seonghoon, et al.
Published: (2025)

Optimal ISAC Beamforming Structure and Efficient Algorithms for Sum Rate and CRLB Balancing
by: Fang, Tianyu, et al.
Published: (2025)

Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System
by: Liu, Zhuoyang, et al.
Published: (2023)

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
by: Ghassemi, Mohammad, et al.
Published: (2025)

Performance of UAV-based Cell-free mMIMO ISAC Networks: Tethered vs. Mobile
by: Cabezas, Xavier A. Flores, et al.
Published: (2024)

Joint Discrete Precoding and RIS Optimization for RIS-Assisted MU-MIMO Communication Systems
by: Ramezani, Parisa, et al.
Published: (2024)

On the Joint Beamforming Design for Large-scale Downlink RIS-assisted Multiuser MIMO Systems
by: Bahingayi, Eduard E., et al.
Published: (2024)

Robust SAC-Enabled UAV-RIS Assisted Secure MISO Systems With Untrusted EH Receivers
by: Hashempour, Hamid Reza, et al.
Published: (2026)

Fast Transceiver Design for RIS-Assisted MIMO mmWave Wireless Communications
by: Jing, Haiyue, et al.
Published: (2024)

Hybrid Deep Reinforcement Learning for Joint Resource Allocation in Multi-Active RIS-Aided Uplink Communications
by: Shalma, Mohamed, et al.
Published: (2025)

Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems
by: Deka, Sukanya, et al.
Published: (2025)

Efficient Deep Learning-based Cascaded Channel Feedback in RIS-Assisted Communications
by: Cui, Yiming, et al.
Published: (2024)

Active RIS-Assisted MIMO System for Vital Signs Extraction: ISAC Modeling, Deep Learning, and Prototype Measurements
by: Chian, De-Ming, et al.
Published: (2026)