Research Article | OPEN ACCESS
An Efficient Channel Sensing Algorithm Based on Hidden Semi Markov Model and Channel Quality Predicition
1B. Senthil Kumar and 2S.K. Srivatsa
1St. Peter’s University, Chennai, India
2St. Joseph’s College of Engineering, Chennai, India
Research Journal of Applied Sciences, Engineering and Technology 2014 19:2064-2070
Received: May ‎19, ‎2014 | Accepted: June ‎18, ‎2014 | Published: November 20, 2014
Abstract
In recent years, Cognitive radio has become one of the most important emerging technologies to handle the primary user channel utilization in next generation cellular networks. The major issues in the future generation cellular networks are channel sensing and allocation for secondary user. Several optimization algorithms have been proposed in the literature for sensing the channel in future generation networks. Although, the existing algorithms provide good results, it has certain limitations such as high computational complexity in real time implementation. In order to overcome the limitation in existing algorithms and to obtain the efficient results, this study proposed a probability based channel sensing algorithm. Hidden Markov model is used as the probability calculation of primary user state and the predicted channel is validated using the proposed quality estimation method. The estimated channel is predicted using the probability of detection and probability of false alarm is used for validating the algorithms. The performance metrics used to evaluate the proposed algorithm is mean square error value and the channel is estimated using different estimators. The comparison of the proposed algorithm with the existing algorithms and performance of the proposed algorithm is better than the other algorithms.
Keywords:
Hidden semi Markov model, primary user, secondary user, spectrum sensing,
References
-
Bulla, J., 2006. Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series. MPRA Paper.
PMCid:PMC1502550 -
Chang, N.B. and M. Liu, 2007. Optimal channel probing and transmission scheduling for opportunistic spectrum access. Proceeding of 2007 ACM International Conference on Mobile Computing and Networking, pp: 27-38.
CrossRef -
Cheng, H.T. and W. Zhuang, 2011. Simple channel sensing order in cognitive radio networks. IEEE J. Selected Areas Communi., 29(4): 676- 688.
CrossRef -
Eslami, M. And S.M.S. Sadough, 2010. Wideband spectrum sensing for cognitive radio via phase-field segmentation. Proceeding of 6th Conference on Wireless Advanced (WiAD), pp: 1-5.
-
Ewaisha, A., A. Sultan and T. El-Batt, 2011. Optimization of channel sensing time and order for cognitive radios. Proceeding of IEEE Wireless Communications and Networking Conference (WCNC), pp: 1414-1419.
CrossRef -
Fan, R. and H. Jiang, 2009. Channel sensing-order setting in cognitive radio networks: A two-user case. IEEE T. Vehicular Technol., 58(9): 4997-5008.
CrossRef -
Gursoy, M.C. and S. Gezici, 2011. On the interplay between channel sensing and estimation in cognitive radio systems. IEEE Global Telecommunications Conference (GLOBECOM 2011), pp: 1-5.
CrossRef -
Haykin, S., 2005. Cognitive radio: Brain-empowered wireless communications. IEEE J. Sel. Areas Comms., 23(2): 201-220.
CrossRef -
Jiang, H., L. Lai, R. Fan and H.V. Poor, 2009. Optimal selection of channel sensing order in cognitive radio. IEEE Trans. Wireless Commun., 8(1): 297-307.
CrossRef -
Kim, H. and K.G. Shin, 2008. Fast discovery of spectrum opportunities in cognitive radio networks. Proceeding of IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp: 1-12.
CrossRef -
Letaief, K.B. and W. Zhang, 2009. Cooperative communications for cognitive radio networks. Proceeding of IEEE, 97(5): 878-893.
CrossRef -
Sadough, S.M.S., 2008. Ultra wideband OFDM channel estimation through a wavelet based EM-MAP algorithm. Eur. Trans. Telecommuni., pp: 761-771.
-
Sadough, S.M.S. and E. Jaffrot, 2005. A wavelet packet based model for an ultra-wideband propagation channel. Proceeding of European Conference on Propagation and Systems (ECPS).
-
Sadough, S.M.S., M.M. Ichir, P. Duhamel and E. Jaffrot, 2009. Waveletbased semiblind channel estimation for ultrawideband OFDM systems. IEEE T. Vehicular Technol., 3: 1302-1314.
CrossRef -
Shu, T. and M. Krunz, 2009. Throughput-efficient sequential channel sensing and probing in cognitive radio networks under sensing errors. Proceeding of 2009 International Conference on Mobile Computing and Networking, pp: 37-48.
CrossRef -
Tian, Z. and G.B. Giannakis, 2006. A wavelet approach to wideband spectrum sensing for cognitive radios. Proceeding of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2006.
CrossRef -
Zhao, Q. and B. Sadler, 2007. A survey of dynamic spectrum access. IEEE Sig. Pro. Mag., 24(3): 79-89.
CrossRef -
Zhao, J. and X. Wang, 2012. Channel sensing order in multi-user cognitive radio networks. Proceeding of IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN), pp: 397-407.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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