Resource allocation for IRS-assisted networks: A deep reinforcement learning approach
In a wireless communication network, the propagation medium has been perceived as a
randomly behaving entity between the transmitter and receiver for a long time. However …
randomly behaving entity between the transmitter and receiver for a long time. However …
Deep reinforcement learning for robust beamforming in IRS-assisted wireless communications
Intelligent reflecting surface (IRS) is a promising technology to assist downlink information
transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we …
transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we …
On the robustness of deep reinforcement learning in IRS-aided wireless communications systems
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output
(MISO) system for downlink transmission. We compare the performance of Deep …
(MISO) system for downlink transmission. We compare the performance of Deep …
Intelligent resource allocations for IRS-assisted OFDM communications: A hybrid MDQN-DDPG approach
In this paper, we study the resource allocation problem for an intelligent reflecting surface
(IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by …
(IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by …
Joint deployment design and phase shift of IRS-assisted 6G networks: An experience-driven approach
The performance of wireless networks is constrained by the dynamic and random nature of
the wireless channels. Intelligent reflecting surface (IRS) is a promising approach that can …
the wireless channels. Intelligent reflecting surface (IRS) is a promising approach that can …
Intelligent reflecting surface configurations for smart radio using deep reinforcement learning
W Wang, W Zhang - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is envisioned to change the paradigm of wireless
communications from “adapting to wireless channels” to “changing wireless channels” …
communications from “adapting to wireless channels” to “changing wireless channels” …
How Often Channel Estimation is Required for Adaptive IRS Beamforming: A Bilevel Deep Reinforcement Learning Approach
In an intelligent reflecting surface (IRS)-assisted wireless communication system, obtaining
the real-time channel state information (CSI) through channel estimation (CE) is crucial for …
the real-time channel state information (CSI) through channel estimation (CE) is crucial for …
Intelligent resource allocation for IRS-enhanced OFDM communication systems: A hybrid deep reinforcement learning approach
Orthogonal frequency division multiplexing (OFDM) systems have been widely applied in
practice since OFDM has diverse outstanding advantages. However, their performance …
practice since OFDM has diverse outstanding advantages. However, their performance …
IRS-aided communications without channel state information relying on deep reinforcement learning
An intelligent reflecting surface (IRS), which comprises numerous passive elements, is
considered a promising technology for smart wireless communication. However, the passive …
considered a promising technology for smart wireless communication. However, the passive …
Deep reinforcement learning based spectral efficiency maximization in STAR-RIS-assisted indoor outdoor communication
The significant growth in data consumption among mobile users necessitates the
development of new architecture to meet the increasing demand. On the other hand …
development of new architecture to meet the increasing demand. On the other hand …