Deep reinforcement learning-based multichannel access for industrial wireless networks with dynamic multiuser priority
In Industry 4.0, massive heterogeneous industrial devices generate a great deal of data with
different quality of service requirements, and communicate via industrial wireless networks …
different quality of service requirements, and communicate via industrial wireless networks …
Dynamic multichannel access based on deep reinforcement learning in distributed wireless networks
With the emergence of innovative applications in vertical industries such as smart home and
industrial automation, machine communication has shown a spurt of development. Different …
industrial automation, machine communication has shown a spurt of development. Different …
A deep actor-critic reinforcement learning framework for dynamic multichannel access
To make efficient use of limited spectral resources, we in this work propose a deep actor-
critic reinforcement learning based framework for dynamic multichannel access. We …
critic reinforcement learning based framework for dynamic multichannel access. We …
Reinforcement learning based multi-parameter joint optimization in dense multi-hop wireless networks
J Lei, D Tan, X Ma, Y Wang - Ad Hoc Networks, 2024 - Elsevier
Abstract Carrier Sense Multiple Access with Collision Avoid (CSMA/CA) restricts the channel
utilization efficiency although it always is regarded as a promising distributed channel …
utilization efficiency although it always is regarded as a promising distributed channel …
Multi-agent reinforcement learning-based distributed channel access for next generation wireless networks
Z Guo, Z Chen, P Liu, J Luo, X Yang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In the next generation wireless networks, more applications will emerge, covering virtual
reality movies, augmented reality, holographic three-dimensional telepresence, haptic …
reality movies, augmented reality, holographic three-dimensional telepresence, haptic …
Situation-aware resource allocation for multi-dimensional intelligent multiple access: A proactive deep learning framework
To meet the ever-increasing communication services with diverse requirements, situation-
aware intelligent utilization of multi-dimensional communication resources is becoming …
aware intelligent utilization of multi-dimensional communication resources is becoming …
Double deep recurrent reinforcement learning for centralized dynamic multichannel access
Q Cong, W Lang - Wireless Communications and Mobile …, 2021 - Wiley Online Library
We consider the problem of dynamic multichannel access for transmission maximization in
multiuser wireless communication networks. The objective is to find a multiuser strategy that …
multiuser wireless communication networks. The objective is to find a multiuser strategy that …
Multiagent deep reinforcement learning for joint multichannel access and task offloading of mobile-edge computing in industry 4.0
Industry 4.0 aims to create a modern industrial system by introducing technologies, such as
cloud computing, intelligent robotics, and wireless sensor networks. In this article, we …
cloud computing, intelligent robotics, and wireless sensor networks. In this article, we …
Learning-based multi-channel access in 5G and beyond networks with fast time-varying channels
We propose a learning-based scheme to investigate the dynamic multi-channel access
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
Deep reinforcement learning based dynamic multichannel access in HetNets
This paper deals with the problem of the dynamic multichannel access (MCA) based on the
LTE-WLAN aggregation in dynamic heterogeneous networks. To ensure the users' …
LTE-WLAN aggregation in dynamic heterogeneous networks. To ensure the users' …