Reinforcement Learning Based Robust Policy Design for Relay and Power Optimization in DF Relaying Networks

Y Geng, E Liu, R Wang, P Sun, B Lu - arXiv preprint arXiv:2205.09106, 2022 - arxiv.org
In this paper, we study the outage minimization problem in a decode-and-forward
cooperative network with relay uncertainty. To reduce the outage probability and improve …

A Relay Buffer Prediction Method Based on LSTM in Terminal Cooperative Communication

J Fei, H Zhi, K Tie - 2023 IEEE 23rd International Conference …, 2023 - ieeexplore.ieee.org
In terminal cooperative communication, relay assisted communication with buffer has
significant advantages in improving system throughput, signal-to-noise ratio, and reducing …

[PDF][PDF] Deep learning driven physical layer performance optimization in cooperative wireless networks

C Huang - 2023 - openresearch.surrey.ac.uk
The cooperative network, eg relay network and RIS network, is known to improve
significantly the reliability in wireless communications. However, the upcoming Sixth …

Decentralized Resource Allocation in 5G Networks with Heterogeneous Multi-Agent Reinforcement Learning

JN Menard - 2023 - repository.library.carleton.ca
This thesis proposes the use of decentralized Multi-Agent Reinforcement Learning (MARL)
for distributed resource allocation in 5G networks. We consider the cases where Resource …

[引用][C] Design and Analysis of Buffer-Aided Cooperative Networks using Deterministic and Reinforcement Learning Techniques

S El Zahr - 2022 - laur.lau.edu.lb
Applications enabled by 5G technology resulted in an unforeseen increase in data traffic
and data flows from any source to a destination are experiencing increased outages, delays …