Abstract
Significant enhancement of spectrum utilization can be performed by means of Cognitive Radio technology. A game theory based Cognitive Radio Network with Dynamic Spectrum Allocation model is proposed in this paper. M|M|1 queuing model is implemented along with Preemptive Resume Priority for accommodation of all the cases. An Incremental Weights-Decremental Ratios (IW-DR) algorithm based on priority-based scheduling is used for supplementing this theory. Regression models are used for restructuring and improving the efficiency of the system.
Publisher
Inventive Research Organization
Subject
General Materials Science
Cited by
19 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enrichment Track Recommendation Based On Soft Skill Test and Personality Test Result Using Machine Learning;2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter);2023-12-11
2. Analysis of Netcode, Latency, and Packet-loss in Online Multiplayer Games;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24
3. Optimized channel prediction and auction‐based channel allocation for personal cognitive networks;International Journal of Communication Systems;2022-11-11
4. Machine Learning Based Machine Reading Comprehension - A Survey;2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA);2022-09-21
5. Multicasting: A Game-Theoretic Method for Constructing an Efficient Multicast Tree;2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA);2022-09-21