HMM based cooperative spectrum occupancy prediction using hard fusion

Eltom, H, Sithamparanathan, K, Liang, Y, Moran, W and Evans, R 2016, 'HMM based cooperative spectrum occupancy prediction using hard fusion', in Proceedings of the 2016 IEEE International Conference on Communications Workshops (ICC 2016), Kuala Lumpur, Malaysia, 23-27 May 2016, pp. 669-675.


Document type: Conference Paper
Collection: Conference Papers

Title HMM based cooperative spectrum occupancy prediction using hard fusion
Author(s) Eltom, H
Sithamparanathan, K
Liang, Y
Moran, W
Evans, R
Year 2016
Conference name ICC 2016: W10-Eighth Workshop on Cooperative and Cognitive Networks (CoCoNet8)
Conference location Kuala Lumpur, Malaysia
Conference dates 23-27 May 2016
Proceedings title Proceedings of the 2016 IEEE International Conference on Communications Workshops (ICC 2016)
Publisher IEEE
Place of publication United States
Start page 669
End page 675
Total pages 7
Abstract Spectrum occupancy prediction provides cognitive radio secondary users with proactive ability to exploit spectrum opportunities. When feasible, spectrum sensing outcome can be further analysed to assist secondary users to pre-emptively avoid interfering with primary users. Where applicable, cooperative spectrum prediction in multi-user environment has the potential to overcome limitations of local spectrum prediction accuracy. In this paper, we provide a thorough analysis on hard fusion based spectrum occupancy prediction. We present accuracy enhancement in terms of prediction error. The analysis and simulation results showed the improvement in prediction accuracy, and the required threshold settings to gain such improvement.
Subjects Wireless Communications
Communications Technologies not elsewhere classified
Keyword(s) HMM
Hidden Markov model
Spectrum occupancy
Cognitive radio
Spectrum prediction
Cooperative Prediction
Hard Fusion
DOI - identifier 10.1109/ICCW.2016.7503864
Copyright notice © 2016 IEEE
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