Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

A Feriani, E Hossain - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

Reconfigurable intelligent surface enabled interference nulling and signal power maximization in mmWave bands

J Ye, A Kammoun, MS Alouini - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has emerged as a promising mean to enhance
wireless transmission. The effective reflected paths provided by RIS are able to alleviate the …

mmWave doubly-massive-MIMO communications enhanced with an intelligent reflecting surface: Asymptotic analysis

DW Yue, HH Nguyen, Y Sun - IEEE Access, 2020 - ieeexplore.ieee.org
As a means to control wireless propagation environments, the use of emerging and novel
intelligent reflecting surfaces (IRS) is envisioned to enhance and broaden many applications …

Optimum reconfigurable intelligent surface selection for wireless networks

Y Fang, S Atapattu, H Inaltekin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The reconfigurable intelligent surface (RIS) is a promising technology that is anticipated to
enable high spectrum and energy efficiencies in future wireless communication networks …

Reconfigurable Intelligent Surface for Next-Generation Networks

J Ye - 2022 - repository.kaust.edu.sa
Reconfigurable intelligent surfaces (RISs) are now considered among the key enabling
technologies catering to the ever-increasing demand for traffic rate in the future fifth …