Deep reinforcement learning based joint spectrum allocation and configuration design for STAR-RIS-assisted V2X communications
Vehicle-to-everything (V2X) communications is pivotal for modern transportation systems,
but the challenges arise in scenarios with buildings, leading to signal obstruction and limited …
but the challenges arise in scenarios with buildings, leading to signal obstruction and limited …
Energy-efficient communication networks via multiple aerial reconfigurable intelligent surfaces: DRL and optimization approach
In the realm of wireless communications in 5G, 6G and beyond, deploying unmanned aerial
vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy …
vehicle (UAV) has been an innovative approach to extend the coverage area due to its easy …
Flying IRS: QoE-driven trajectory optimization and resource allocation based on adaptive deployment for WPCNs in 6G IoT
6G Internet of Things (IoT) is envisioned to provide large-scale network connections and
high data transmission rates to satisfy the diverse needs of IoT nodes. The wireless powered …
high data transmission rates to satisfy the diverse needs of IoT nodes. The wireless powered …
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 …
Proximal Policy Optimization for Energy-Efficient MEC Systems with STAR-RIS Assistance
The growing popularity of Internet of Things (IoT) devices has led to an escalating demand
for efficient data processing and transmission solutions. The concept of Mobile Edge …
for efficient data processing and transmission solutions. The concept of Mobile Edge …
Improving Energy Efficiency in Satellite-to-Ground Communications With Multiple Reflecting Intelligent Surfaces
This study introduces two novel approaches to enhance the energy efficiency of satellite-to-
ground communication systems by using multiple Reconfigurable Intelligent Surfaces (RISs) …
ground communication systems by using multiple Reconfigurable Intelligent Surfaces (RISs) …
Double reconfigurable intelligent surface-assisted wireless communication system for energy efficiency improvement over weibull fading channels
In this paper, we propose a double reconfigurable intelligent surface (RIS)-assisted wireless
communication system to improve energy efficiency when a direct link from source to …
communication system to improve energy efficiency when a direct link from source to …
Resource Allocation using Reinforcement Learning for Secure SWIPT-RIS-assisted UAV communications
The coverage of IoT networks may be significantly impaired in the event of a disaster, due to
the disruption of the communication network. The use of UAVs as flying base stations for IoT …
the disruption of the communication network. The use of UAVs as flying base stations for IoT …
DRL-Based Transmission Design for Distributed STAR-RIS-aided Communications
In this work, we investigate the performance of distributed simultaneous transmitting and
reflecting (STAR) reconfigurable intelligent surface (RIS)-assisted downlink multiuser …
reflecting (STAR) reconfigurable intelligent surface (RIS)-assisted downlink multiuser …
Resource Allocation for Multi-Active-RIS assisted MISO Communications via Deep Reinforcement Learning
As the fifth-generation mobile communication system (5G) is commercially available,
countries around the world have gradually launched research plans for the sixth-generation …
countries around the world have gradually launched research plans for the sixth-generation …