In this paper, we propose a new framework, exploiting the multi-agent deep deterministic policy gradient (MADDPG) algorithm, to enable a base station (BS) and user equipment …
The potential applications of deep learning to the media access control (MAC) layer of wireless local area networks (WLANs) have already been progressively acknowledged due …
Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) …
Y Yu, SC Liew, T Wang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
This paper investigates a new class of carrier-sense multiple access (CSMA) protocols that employ deep reinforcement learning (DRL) techniques, referred to as carrier-sense deep …
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 …
Y Yu, T Wang, SC Liew - IEEE journal on selected areas in …, 2019 - ieeexplore.ieee.org
This paper investigates a deep reinforcement learning (DRL)-based MAC protocol for heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …
Z Zheng, S Jiang, R Feng, L Ge, C Gu - Entropy, 2023 - mdpi.com
In this paper, we conduct a survey of the literature about reinforcement learning (RL)-based medium access control (MAC) protocols. As the scale of the wireless ad hoc network …
X Tan, L Zhou, H Wang, Y Sun, H Zhao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the development of wireless communication and Internet of Things (IoT), there are massive wireless devices that need to share the limited spectrum resources. Dynamic …
B Yang, X Cao, Z Han, L Qian - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Nowadays, an Internet-of-Things (IoT) connected system brings a tremendous paradigm shift into the medium access control (MAC) design. In this paper, we present a distributed …