Transient analysis of enhanced hybrid spectrum access for QoS provisioning in multi-class cognitive radio networks

Kulshrestha, Rakhee; Goel, Shruti; Balhara, Pooja

doi:10.1007/s11276-024-03715-3

Wireless Netw

2024

DOI: 10.1007/s11276-024-03715-3

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Transient analysis of enhanced hybrid spectrum access for QoS provisioning in multi-class cognitive radio networks

Rakhee Kulshrestha,

Shruti Goel,

Pooja Balhara

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Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs

Xie,

Zhang,

et al. 2024

International Journal of Swarm Intelligence Research

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The development of technology that enables network convergence and the rising acceptance of heterogeneous network architectures have made it possible for many of the most important cognitive radio networks to communicate with a broad variety of authorized networks. Traditional algorithms for network selection make use of selection approaches that are dependent on prior information about the network under consideration. We use the proposed algorithm to choose different networks and integrate them into computers. This paper offers a network selection technique that is based on deep reinforcement learning. This technique can be applied to cognitive radio networks that encompass a range of networks. We will utilize these findings to provide recommendations on how to remediate existing issues in the delivery of services to cognitive users. This paper aims to improve the service quality for cognitive users and find solutions to the identified problems.

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Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs

Xie,

Zhang,

et al. 2024

International Journal of Swarm Intelligence Research

View full text Add to dashboard Cite

show abstract

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Transient analysis of enhanced hybrid spectrum access for QoS provisioning in multi-class cognitive radio networks

Cited by 1 publication

References 34 publications

Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs

Deep Reinforcement Learning-Based Automated Network Selection in Heterogenous CRNs

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