The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Multiaccess point coordination for next-gen Wi-Fi networks aided by deep reinforcement learning
Wi-Fi in the enterprise—characterized by overlapping Wi-Fi cells—constitutes the design
challenge for next-generation networks. Standardization for recently started IEEE 802.11 be …
challenge for next-generation networks. Standardization for recently started IEEE 802.11 be …
Dynamic spectrum sharing based on deep reinforcement learning in mobile communication systems
S Liu, C Pan, C Zhang, F Yang, J Song - Sensors, 2023 - mdpi.com
The rapid development of mobile communication services in recent years has resulted in a
scarcity of spectrum resources. This paper addresses the problem of multi-dimensional …
scarcity of spectrum resources. This paper addresses the problem of multi-dimensional …
Deep reinforcement learning-based intelligent security forwarding strategy for VANET
B Liu, G Xu, G Xu, C Wang, P Zuo - Sensors, 2023 - mdpi.com
The vehicular ad hoc network (VANET) constitutes a key technology for realizing intelligent
transportation services. However, VANET is characterized by diverse message types …
transportation services. However, VANET is characterized by diverse message types …
Rffae-s: Autoencoder based on random fourier feature with separable loss for unsupervised signal modulation clustering
Unsupervised signal modulation clustering is becoming increasingly important due to its
application in the dynamic spectrum access process of 5G wireless communication and …
application in the dynamic spectrum access process of 5G wireless communication and …
A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error
L Chen, K Fu, Q Zhao, X Zhao - Physical Communication, 2022 - Elsevier
In this paper, a spectrum access problem is proposed to improve the spectrum access rates
of secondary vehicles in Cognitive Vehicular Networks, where the channel capacity …
of secondary vehicles in Cognitive Vehicular Networks, where the channel capacity …
Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems
Cognitive radio (CR) provides an effective solution to meet the huge bandwidth
requirements in intelligent transportation systems (ITS), which enables secondary users …
requirements in intelligent transportation systems (ITS), which enables secondary users …
Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio‐based internet of things
J Elhachmi - IET Networks, 2022 - Wiley Online Library
Cognitive Radio (CR) with other advancements such as the Internet of things and machine
learning has recently emerged as the main involved technique to use spectrum in an …
learning has recently emerged as the main involved technique to use spectrum in an …
[HTML][HTML] Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey
Recent developments in the fields of communications, smart transportation systems and
computer systems have significantly expanded the potential for intelligent solutions in the …
computer systems have significantly expanded the potential for intelligent solutions in the …