Novel Heuristic Subcarrier Allocation for Spectral: Energy Efficiency Tradeoff Improvement in Underlay Cognitive Radio Network
Author:
Funder
Centre for Engineering Research and Development
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10479-0.pdf
Reference30 articles.
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2. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220. https://doi.org/10.1109/JSAC.2004.839380
3. Srinivasa, S., & Jafar, S. A. (2007). Cognitive radios for dynamic spectrum access: The throughput potential of cognitive radio: A theoretical perspective. IEEE Communications Magazine, 45(5), 73–79. https://doi.org/10.1109/MCOM.2007.358852
4. El Tanab, M., & Hamouda, W. (2017). Resource allocation for underlay cognitive radio networks: A survey. IEEE Communications Surveys & Tutorials, 19(2), 1249–1276. https://doi.org/10.1109/COMST.2016.2631079
5. Alfa, A. S., Maharaj, B. T., Lall, S., & Pal, S. (2016). Mixed-integer programming based techniques for resource allocation in underlay cognitive radio networks: A survey. Journal of Communications and Networks, 18(5), 744–761. https://doi.org/10.1109/JCN.2016.000104
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