has been cited by the following article(s):
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[1]
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Proactive Fuzzy-Based Backup Channel Selection Scheme for Spectrum Handoff in Cognitive Radio Networks
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2022 IEEE Nigeria …,
2022 |
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[2]
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Intelligent Process of Spectrum Handoff in Cognitive Radio Network
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SLU Journal of …,
2022 |
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[3]
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DynMAC Based Optimized Spectrum Handoff Algorithm for Deterministic Multihop Industrial Networks Modelling
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Journal of Green …,
2021 |
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[4]
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Cognitive Radio Networks: Quality of Service Considerations and Enhancements
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2018 |
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[5]
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A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study
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2018 |
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[6]
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A Review of Medium Access Control Protocols in Cognitive Radio Networks
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2018 |
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[7]
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Network performance & Quality of service in data networks involving spectrum utilization techniques
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2017 |
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[8]
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Large Spectrum Survey in Rural and Urban Environments, within the 50 MHz-6 GHz Bands
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2016 |
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[9]
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Delay characteristics of TDMA medium access control protocol for cognitive radio networks
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2016 |
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[10]
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QoS-aware spectrum sensing in White-Fi cognitive radio networks
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2016 |
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[11]
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Large scale spectrum survey in rural and urban environments within the 50 MHz–6 GHz bands
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Measurement,
2016 |
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[12]
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Large Scale Spectrum Survey in Rural and Urban Environments within the 50 MHz-6 GHz Bands
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Measurement,
2016 |
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[13]
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Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments
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International Journal of Future Computer and Communication,
2016 |
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[14]
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ENC-MAC: Energy-efficient Non-overlapping Channel MAC for Cognitive Radio enabled Sensor Networks
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2015 |
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[15]
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ENC-MAC: Energy-efficient Non-overlapping Channel MAC for Cognitive Radio enabled Sensor Networks.
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KSII Transactions on Internet & Information Systems,
2015 |
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[16]
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Geospatial Approach to Quantifying TV White Space in Nigeria in the UHF Band
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Journal of Next Generation Information Technology,
2015 |
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[17]
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Spectrum occupancy measurements in the TV and CDMA bands
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Cyberspace (CYBER-Abuja), 2015 International Conference on,
2015 |
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[1]
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Proactive Fuzzy-Based Backup Channel Selection Scheme for Spectrum Handoff in Cognitive Radio Networks
2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON),
2022
DOI:10.1109/NIGERCON54645.2022.9803179
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[2]
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A Review of Medium Access Control Protocols in Cognitive Radio Networks
2018 International Conference on Current Trends towards Converging Technologies (ICCTCT),
2018
DOI:10.1109/ICCTCT.2018.8550881
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[3]
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Spectrum Occupancy Measurements and Analysis in the 2.4-2.7 GHz Band in Urban and Rural Environments
International Journal of Future Computer and Communication,
2016
DOI:10.18178/ijfcc.2016.5.3.461
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[4]
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Delay characteristics of TDMA medium access control protocol for cognitive radio networks
2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT),
2016
DOI:10.1109/STC-CSIT.2016.7589870
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[5]
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QoS-aware spectrum sensing in White-Fi cognitive radio networks
2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS),
2016
DOI:10.1109/ICSPCS.2016.7843376
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[6]
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Spectrum occupancy measurements in the TV and CDMA bands
2015 International Conference on Cyberspace (CYBER-Abuja),
2015
DOI:10.1109/CYBER-Abuja.2015.7360504
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