Power Control Algorithm based on Non-Cooperative Game in Cognitive Radio Underlay Mode
Author:
Affiliation:
1. Northwest Normal University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3532213.3532335
Reference14 articles.
1. J. Lunden V. Koivunen and H. V. Poor. 2015. Spectrum Exploration and Exploitation for Cognitive Radio: Recent Advances. in IEEE Signal Processing Magazine vol. 32 no. 3 pp. 123-140. J. Lunden V. Koivunen and H. V. Poor. 2015. Spectrum Exploration and Exploitation for Cognitive Radio: Recent Advances. in IEEE Signal Processing Magazine vol. 32 no. 3 pp. 123-140.
2. S. Haykin . 2005. Cognitive radio: brain-empowered wireless communications. in IEEE Journal on Selected Areas in Communications , vol. 23 , no. 2, pp. 201-220. S.Haykin. 2005. Cognitive radio: brain-empowered wireless communications. in IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220.
3. M. Naeem A. Anpalagan M. Jaseemuddin and D. C. Lee. 2014. Resource Allocation Techniques in Cooperative Cognitive Radio Networks. in IEEE Communications Surveys & Tutorials vol. 16 no. 2 pp. 729-744. M. Naeem A. Anpalagan M. Jaseemuddin and D. C. Lee. 2014. Resource Allocation Techniques in Cooperative Cognitive Radio Networks. in IEEE Communications Surveys & Tutorials vol. 16 no. 2 pp. 729-744.
4. Distributed Cross-Layer Optimization for Cognitive Radio Networks
5. Optimal Power Control Game Algorithm for Cognitive Radio Networks with Multiple Interference Temperature Limits
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1. A game-theoretical paradigm for collaborative and distributed power control in wireless networks;Annals of Telecommunications;2023-08-14
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