Reinforcement Learning Based Policy Design for Outage Minimization in DF Relaying Networks

Y Geng, E Liu, R Wang, P Sun, B Lu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Relay-enabled cooperative communication has been a hot topic in the area of the Internet of
Things (IoT), for its help in providing important solutions to resource limitations in IoT …

Hierarchical reinforcement learning for relay selection and power optimization in two-hop cooperative relay network

Y Geng, E Liu, R Wang, Y Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we study the outage probability minimizing problem in a two-hop cooperative
relay network. To reduce outage probability, existing studies propose many schemes for …

Deep deterministic policy gradient for relay selection and power allocation in cooperative communication network

Y Geng, E Liu, R Wang, Y Liu, J Wang… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Perfect channel state information (CSI) is usually required when considering relay selection
and power allocation in cooperative communication. However, it is difficult to get an accurate …

Minimizing the AoI in resource-constrained multi-source relaying systems: Dynamic and learning-based scheduling

A Zakeri, M Moltafet, M Leinonen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider a multi-source relaying system where independent sources randomly generate
status update packets which are sent to the destination with the aid of a relay through …

Delay-constrained buffer-aided relay selection in the Internet of Things with decision-assisted reinforcement learning

C Huang, G Chen, Y Gong - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article investigates the reinforcement learning for the relay selection in the delay-
constrained buffer-aided networks. The buffer-aided relay selection significantly improves …

Relay Selection for Wireless Cooperative Networks using Adaptive Q-learning Approach

K Yang, S Zhu, Z Dan, X Tang, X Wu… - 2019 Cross Strait …, 2019 - ieeexplore.ieee.org
Relay selection is an effective method to improve the system performance of co-operative
communication, and thus has received significant attention. In this paper, by assuming that …

Relay selection scheme based on deep reinforcement learning in wireless sensor networks

D Zhou, B Yan, C Li, A Wang, H Wei - Physical Communication, 2022 - Elsevier
Cooperative communication technology has realized the enhancement in the wireless
communication system's spectrum utilization rate without resorting to any additional …

Resource optimization in relay based cooperative wireless systems under channel uncertainty

S Mallick - 2014 - open.library.ubc.ca
Over the last decade, the demand for wireless resources has been rising exponentially with
the increase of the number of new users and services. The primary objective of wireless …

Learning-Driven Transmission Latency Minimization in EH-Relay Assisted IoT Networks

Q Wang, LP Qian, M Li, W Jiang, Y Wu… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) is one of the key applications of 5G, and the data transmission is the
basis of IoT networks. In this paper, we investigate the data transmission scheme in non …

Reinforcement learning-based multihop relaying: A decentralized Q-learning approach

X Wang, X Wang - Entropy, 2021 - mdpi.com
Conventional optimization-based relay selection for multihop networks cannot resolve the
conflict between performance and cost. The optimal selection policy is centralized and …