A NOVEL OPPORTUNISTIC CHANNEL SELECTION BASED ON TIME SERIES PREDICTION IN COGNITIVE RADIO NETWORKS
| Author(s) | : | SAUMYA SRIVASTAVA |
| Institution | : | Department of ECE, BBD University, LUCKNOW |
| Published In | : | Vol. 6, Issue 5 — May 2019 |
| Page No. | : | 1-8 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Cognitive radio is a wireless technology that provides solution to meet scarcity of radio spectrum. Here tofind out the busy states of any spectrum unit and selection of suitable vacant channel for communication by secondaryusers are two essential tasks. In this paper a new technique Navien Bayes classifier based on Bayes theorem has beenapplied to find out the minimum busy probability of any spectrum unit. Various predictions at various steps, theirswitching probability, collision probability and throughput has been taken in the series. By using previous data of thelicensed spectrum, the SU selects the channel with the lowest busy probability within its service time for datatransmission. Time series prediction is employed to estimate the near upcoming busy probabilities of the licensedspectrum units.
SAUMYA SRIVASTAVA, “A NOVEL OPPORTUNISTIC CHANNEL SELECTION BASED ON TIME SERIES PREDICTION IN COGNITIVE RADIO NETWORKS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 6, Issue 5, pp. 1-8, May 2019.
