Wireless multimedia cognitive radio networks: A comprehensive survey
Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …
transmission resources. With the provision of cognitive radios (CRs), the underutilized …
[HTML][HTML] Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey
The stringent requirements of wireless multimedia transmission lead to very high radio
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
spectrum solicitation. Although the radio spectrum is considered as a scarce resource, the …
Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks
Internet of Vehicles (IoV) has attracted much interest recently due to its ubiquitous message
exchange and content sharing among smart vehicles with the development of the mobile …
exchange and content sharing among smart vehicles with the development of the mobile …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
Intelligent spectrum management based on transfer actor-critic learning for rateless transmissions in cognitive radio networks
This paper presents an intelligent spectrum mobility management scheme for cognitive radio
networks. The spectrum mobility could involve spectrum handoff (ie, the user switches to a …
networks. The spectrum mobility could involve spectrum handoff (ie, the user switches to a …
An actor-critic deep reinforcement learning approach for transmission scheduling in cognitive internet of things systems
H Yang, X **e - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
The cognitive Internet of Things (CIoT) has attracted much interest recently in wireless
networks due to its wide applications in smart cities, intelligent transportation systems, and …
networks due to its wide applications in smart cities, intelligent transportation systems, and …
Queueing models for cognitive radio networks: A survey
Cognitive radio networks (CRNs) are an emerging paradigm for next generation wireless
communication systems allowing for more efficient radio spectrum utilization. In order to …
communication systems allowing for more efficient radio spectrum utilization. In order to …
Q-learning-based spectrum access for multimedia transmission over cognitive radio networks
XL Huang, YX Li, Y Gao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In order to meet the dramatic wireless bandwidth demands of emerging multimedia
applications, cognitive radio has been proposed as one of promising solutions to improve …
applications, cognitive radio has been proposed as one of promising solutions to improve …
Deep reinforcement learning approach to QoE-driven resource allocation for spectrum underlay in cognitive radio networks
F Shah-Mohammadi… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents a deep reinforcement learning-based technique for cognitive radio
underlay dynamic spectrum access (DSA) that performs distributed joint multi-resource …
underlay dynamic spectrum access (DSA) that performs distributed joint multi-resource …
Optimal spectrum handoff control for CRN based on hybrid priority queuing and multi-teacher apprentice learning
An optimal spectrum handoff scheme for cognitive radio networks (CRNs) is presented in
this paper. This scheme has two novel features: 1) Hybrid rule-based priority queuing model …
this paper. This scheme has two novel features: 1) Hybrid rule-based priority queuing model …