Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks

MA Hossain, RM Noor, KLA Yau, SR Azzuhri… - IEEE …, 2020 - ieeexplore.ieee.org
Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Intelligent spectrum management based on transfer actor-critic learning for rateless transmissions in cognitive radio networks

AM Koushik, F Hu, S Kumar - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
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 …

Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks

MA Hossain, R Md Noor, SR Azzuhri… - International Journal …, 2021 - Wiley Online Library
Vehicular ad hoc network (VANET) has been established to mitigate road collisions and
traffic congestion and provide infotainment facilities to users. Allocated channels to VANET …

Optimization techniques for spectrum handoff in cognitive radio networks using cluster based cooperative spectrum sensing

MK Devi, K Umamaheswari - Wireless Networks, 2021 - Springer
Spectrum handoff has an undesirable effect in utilizing the space for Secondary user (SU) in
the spectrum, which causes a handoff delay in cognitive radio network. The SU frequently …

Channel/beam handoff control in multi-beam antenna based cognitive radio networks

AM Koushik, JD Matyjas, F Hu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
A novel spectrum handoff scheme, called feature stacking (FEAST) is proposed to achieve
the optimal “channel+ beam” handoff (CBH) control in cognitive radio networks (CRNs) with …

[PDF][PDF] Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

KOKLIMA YAU, SR AZZUHRI, MR Z'ABA - scholar.archive.org
ABSTRACT Nowadays, machine learning (ML), which is one of the most rapidly growing
technical tools, is extensively used to solve critical challenges in various domains. Vehicular …

[PDF][PDF] Online, Feature Stacking (FEAST) Based “Channel+ Beam” Handoff Control in Cognitive Radio Networks with Multi-Beam Antennas

K AM, F Hu, S Kumar - feihu.eng.ua.edu
A novel Feature Stacking (FEAST) based “channel+ beam” handoff (CBH) control scheme is
proposed for the cognitive radio networks (CRNs) with multi-beam smart antennas (MBSAs) …

[图书][B] Machine Learning Based Spectrum Decision in Cognitive Radio Networks

KA Manjunatha - 2018 - search.proquest.com
The cognitive radio network (CRN) is considered as one of the promising solutions to
address the issue of spectrum scarcity and effective spectrum utilization. In a CRN the …