Prediction-based spectrum access optimization in cognitive radio networks
PL Zuo, X Wang, W Linghu, R Sun… - 2018 IEEE 29th …, 2018 - ieeexplore.ieee.org
Cognitive radio (CR) has received wide attention for enhancing the spectrum utilization.
Spectrum prediction can be fully utilized in both time and frequency domains for cognitive …
Spectrum prediction can be fully utilized in both time and frequency domains for cognitive …
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
This work aims to investigate semantic communication in high-speed mobile Internet of
vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to …
vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to …
Dynamic spectrum aggregation and access scheme based on multi-agent actor-critic reinforcement learning
W Ding, W Zhang, D Wang, J Sun… - 2021 13th International …, 2021 - ieeexplore.ieee.org
In order to relieve the pressure on limited spectrum resources, we investigate a dynamic
spectrum aggregation and access problem based on multi-agent reinforcement learning, in …
spectrum aggregation and access problem based on multi-agent reinforcement learning, in …
Predictive spectrum sensing strategy based on reinforcement learning
Z Qu, R Cui, Q Song, S Yin - China Communications, 2014 - ieeexplore.ieee.org
In this paper, we consider a cognitive radio (CR) system with a single secondary user (SU)
and multiple licensed channels. The SU requests a fixed number of licensed channels and …
and multiple licensed channels. The SU requests a fixed number of licensed channels and …
Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes
This paper introduces a novel multi-agent multi-state reinforcement learning exploration
scheme for dynamic spectrum access and dynamic spectrum sharing in wireless …
scheme for dynamic spectrum access and dynamic spectrum sharing in wireless …
Energy-efficient hybrid spectrum access scheme in cognitive vehicular ad hoc networks
This letter focuses on an energy-efficient hybrid spectrum access scheme in a vehicle-to-
infrastructure uplink communication scenario in cognitive vehicular ad hoc networks …
infrastructure uplink communication scenario in cognitive vehicular ad hoc networks …
Classification and analysis of spectrum sensing mechanisms in Cognitive Vehicular Networks
A Riyahi, S Bah, M Sebgui, B Elgraini - EAI Endorsed Transactions on …, 2018 - eudl.eu
Abstract Vehicular Ad hoc Networks (VANETs) is an essential part of Intelligent
Transportation System (ITS), which aims to improve the road safety. However, the main …
Transportation System (ITS), which aims to improve the road safety. However, the main …
Intelligent spectrum management based on reinforcement learning schemes in cooperative cognitive radio networks
Abstract Cognitive Radio (CR) and Cooperative Communication provide key technologies
for efficient utilization of available unused spectrum bands (called resources) to achieve a …
for efficient utilization of available unused spectrum bands (called resources) to achieve a …
Accurate spectrum prediction based on joint lstm with cnn toward spectrum sharing
L Zhang, M Jia - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
In cognitive radio context, spectrum sensing is the vital technique for the cognitive users to
acquire the spectrum of frequency band. It requires cognitive users to determine the usage …
acquire the spectrum of frequency band. It requires cognitive users to determine the usage …
On the performance of cognitive internet-of-vehicles with unlicensed user-mobility and licensed user-activity
Abstract Internet of Vehicles (IoV) is regarded as an emerging concept for intelligent
transportation cyber-physical systems. Due to the limited number of channels available in …
transportation cyber-physical systems. Due to the limited number of channels available in …