Reinforcement learning based joint trajectory design and resource allocation for RIS-aided UAV multicast networks

Pengshuo Ji; Jie Jia; Jian Chen; Liang Guo; An Du; Xingwei Wang

doi:10.1016/j.comnet.2023.109697

ScienceGate Book Chapters

JOURNAL ARTICLE

Reinforcement learning based joint trajectory design and resource allocation for RIS-aided UAV multicast networks

Pengshuo Ji Jie Jia Jian Chen Liang Guo An Du Xingwei Wang

Year: 2023 Journal: Computer Networks Vol: 227 Pages: 109697-109697 Publisher: Elsevier BV

DOI: 10.1016/j.comnet.2023.109697

Get Full-Text PDF Get Analytical Report

Keywords:

Multicast Computer science Beamforming Computer network Transmitter Source-specific multicast Reinforcement learning Real-time computing Channel (broadcasting) Distributed computing Telecommunications Artificial intelligence

Metrics

Cited By

3.98

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Underwater Vehicles and Communication Systems

Physical Sciences → Engineering → Ocean Engineering

Reinforcement learning based joint trajectory design and resource allocation for RIS-aided UAV multicast networks

Metrics

Citation History

Topics

Related Documents

STAR-RIS-Aided AAV-NOMA Networks: Joint Resource Allocation and Trajectory Optimization

Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks

Resource Allocation and Trajectory Design in UAV-Aided Cellular Networks Based on Multiagent Reinforcement Learning

Deep Reinforcement Learning-Based Resource Allocation for Secure RIS-aided UAV Communication

Quantum Federated Reinforcement-Learning-Based Joint Mode Selection and Resource Allocation for STAR-RIS-Aided VRCS