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http://dx.doi.org/10.6109/jkiice.2014.18.10.2389

Handoff Scheme based on Adaptive Channel Prediction in Cognitive Radio Networks  

Lee, Juhyeon (Department of Electrical Electronic & Communication Engineering, KOREATECH)
Park, Hyung-Kun (Department of Electrical Electronic & Communication Engineering, KOREATECH)
Abstract
Spectrum handoff is the process of exchanging progressing data transmission from the current channel to another idle channel. The essential goal of spectrum handoff in CR(Cognitive Radio) networks is to perform consistent data transmission while sustaining performance of ongoing transmission of secondary users. This handoff procedure can cause additional latency that eventually affects on the performance of CR transmission. Channel prediction method is expected to avoid the disruption to primary users and to reduce the handoff latency. In this paper, adaptive channel prediction is proposed to cope with time-varying channel and an adaptive channel prediction based proactive handoff procedure is designed to enhance data transmission performance.
Keywords
Cognitive Radio; Spectrum Handoff; Channel Prediction; Prediction Error;
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1 J. Mitola and G. Q. Maguire Jr., "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, Aug 1999.   DOI   ScienceOn
2 S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201-220, Feb. 2005.   DOI   ScienceOn
3 E. Trigui, M. Esseghir, L. M. Boulahia, "Spectrum handoff algorithm for mobile cognitive radio users based on agents' negotiation" in Proceeding of the 9th international conference on Wireless and Mobile Computing, Networking and Communications, pp.750-756, 2013.
4 Y. Yao, S. R. Ngoga, E. Erman, A. Popescu, " Performance of cognitive radio spectrum access with intra-and inter-handoff," in Proceeding of the international conference on Communications, pp.1539-1544, 2012.
5 J. Marinho and E. Monteiro, "Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions," Wireless Networks, vol. 18, no. 2, pp. 147-164, Feb. 2012.   DOI
6 H. Kim and K.G. Shin, "Efficient discovery of Spectrum opportunities with MAC-layer sensing in cognitive radio networks," IEEE Transactions on Mobile Computing, vol. 7, no. 5, pp. 533-545, May 2008.   DOI   ScienceOn
7 X. Li and S. Zekavat, "Traffic pattern prediction and performance investigation for cognitive radio systems", in Proc. IEEE WCNC 2008, pp. 894-899, 2008.
8 L. Yang, L. Cao, H. Zheng, "Proactive channel access in dynamic spectrum networks," Physical communication, vol. 1, no. 2, pp. 103-111, 2008.   DOI   ScienceOn
9 C. W. Wang, L. C. Wang, "Analysis reactive spectrum handoff in cognitive radio networks," IEEE journal on selected areas in communications, vol. 30 no. 9, pp.2016-2028, 2012.   DOI
10 J. Lee and H. Park, "Channel Predictin-Based Channel Allocation Scheme for Multichannel Cognitive Radio Networks", Journal of Communications and Networks, vol. 16, no. 2, pp. 209-216, Apr. 2014.   과학기술학회마을   DOI