2014/10/09 by R. Kaniezhil, Kaniezhil, R., C. Chandrasekar +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cognitive Radio Networks and Spectrum Sensing #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Wireless Communication Networks Research #cs.NI
paper · pdf · doi:10.48550/arxiv.1410.2360
arXiv admin note: text overlap with arXiv:1301.1134; and text overlap with arXiv:1201.1964, arXiv:cs/0609149 by other authors
arxiv created 2014/10/09 · openalex publication_date 2014/10/09 · arxiv updated 2014/10/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The paper focuses on improving the spectrum sharing using NSU, FLS and Traffic Pattern Prediction and also made comparison that traffic pattern prediction provides a better way of improving the spectrum utilization and avoids the spectrum scarcity. This helps to increase the number of active users, ease of identification of optimal users to use the spectrum with maximized coverage of the spectrum.. We experimentally evaluated the effectiveness of our approach using NS2 simulator and showed that after predicting the traffic, we can accommodate more number of users and avoiding Interference.