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Reinforcement learning for context awareness and intelligence in wireless networks: Review, new features and open issues
In wireless networks, context awareness and intelligence are capabilities that enable each
host to observe, learn, and respond to its complex and dynamic operating environment in an …
host to observe, learn, and respond to its complex and dynamic operating environment in an …
Deep-reinforcement learning multiple access for heterogeneous wireless networks
This paper investigates a deep reinforcement learning (DRL)-based MAC protocol for
heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …
heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …
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 …
[КНИГА][B] Cognitive radio communication and networking: Principles and practice
The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …
notion of cognitive radio. The book begins with addressing issues such as the fundamental …
Application of reinforcement learning in cognitive radio networks: Models and algorithms
Cognitive radio (CR) enables unlicensed users to exploit the underutilized spectrum in
licensed spectrum whilst minimizing interference to licensed users. Reinforcement learning …
licensed spectrum whilst minimizing interference to licensed users. Reinforcement learning …
LSTM-based channel access scheme for vehicles in cognitive vehicular networks with multi-agent settings
In this paper, we study the channel access problem of vehicles in a cognitive radio vehicular
network, where each vehicle opportunistically accesses the channel resources of the …
network, where each vehicle opportunistically accesses the channel resources of the …
[HTML][HTML] BENS− B5G: blockchain-enabled network slicing in 5G and beyond-5G (B5G) networks
Fifth-generation (5G) technology is anticipated to allow a slew of novel applications across a
variety of industries. The wireless communication of the 5G and Beyond-5G (B5G) networks …
variety of industries. The wireless communication of the 5G and Beyond-5G (B5G) networks …
A survey on dynamic spectrum access techniques in cognitive radio networks
The idea of Cognitive Radio (CR) is to share the spectrum between a user called primary,
and a user called secondary. Dynamic Spectrum Access (DSA) is a new spectrum sharing …
and a user called secondary. Dynamic Spectrum Access (DSA) is a new spectrum sharing …
Handling coexistence of lora with other networks through embedded reinforcement learning
The rapid growth of various Low-Power Wide-Area Network (LPWAN) technologies in the
limited spectrum brings forth the challenge of their coexistence. Today, LPWANs are not …
limited spectrum brings forth the challenge of their coexistence. Today, LPWANs are not …
Deep-reinforcement learning for fair distributed dynamic spectrum access in wireless networks
Many studies investigated fair dynamic spectrum access in distributed wireless networks
(DWNs). To limit the required communication between nodes, several schemes based on …
(DWNs). To limit the required communication between nodes, several schemes based on …