Channel accessing and handoff mechanisms in TV white spaces based on channel sensing and database information
About this article
DOI:
https://doi.org/10.14419/ijet.v7i4.20.22113Keywords:
Cognitive radio, TV white spaces, Dynamic Spectrum Access, TVWS Database, Spectrum HolesAbstract
Opportunistic channel accessing and handoff mechanisms are crucial for the successful implementation of cognitive radio networks that depend on vacant channel frequencies of TV white spaces and other primary users. In this work, two such mechanisms that enable quick accessing of vacant channels and cause less interference to primary users are proposed. In these methods, combination of database information and local sensing of channels is used, to know about available vacant channels. If the primary user of incumbent channel returns, the secondary user moves to another vacant channel that is found to be free after scanning. Information from database can be used to speed up the process by limiting the scanning to few probable channels, instead of searching for all. The results show that these methods offer quick handoff of secondary users and cause less interference to primary users.
References
Spectrum Policy Task Force report, Technical report 02-135, Federal Communications commission, Nov. 2002.
Mitola J, Maguire G.Q, “Cognitive Radio: Making Software Radios More Personal”, IEEE Personal Communications, pp. 13 – 18, August 1999,.
Joseph Mitola, “Cognitive Radio: An Integrated Agent Archi-tecture for Software Defined Radio”, PhD dissertation at Royal Institute of Technology, Stockholm, Sweden, May 2000
Mitola J, “Cognitive Radio Architecture Evolution”, Proceed-ings of IEEE, Vol.97, No.4, pp. 626-641, 2009
Ryan W. Thomas, Daniel H. Friend, Luiz A. DaSilva, and Allen B. MacKenzie, “Cognitive Networks: Adaptation and Learn-ing to Achieve End-to-End Performance Objectives”, IEEE Communications Magazine, pp. 51 -57, December 2006
View more references (11)
Won-Yeol Lee; Akyildiz, I.F., “Optimal spectrum sensing framework for cognitive radio networks”, IEEE Transactions on Wireless Communications, Vol. 7, No. 10, 2008, pp.3845 – 3857
Ian F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, "NeXt Generation/Dynamic Spectrum Access/Cognitive Ra-dio Wireless Networks: A Survey," Elsevier’s Computer Net-works Journal, September 2006
Yonghong Zeng, and Ying-Chang Liang “Eigenvalue-Based Spectrum Sensing Algorithms for Cognitive Radio”, IEEE Transactions on Communications, Vol.57, No.6, 2009, pp. 1784-1793
Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and Shan-tidev Mohanty, “A Survey on Spectrum Management in Cog-nitive Radio Networks”, IEEE Communications, 2008, pp. 40-48
10.Won-Yeol Lee; Akyldiz, I.F, "A Spectrum Decision Framework for Cognitive Radio Networks", IEEE Transac-tions on Mobile Computing, Vol. 10, No. 2, 2011, pp.161 - 174.
Yiping Xing, Chandramouli R, Mangold S, “Dynamic Spec-trum Access in Open Spectrum Wireless Networks”, IEEE Journal on Selected Areas In Communications, VOL. 24, NO. 3, , pp. 626 – 637, 2006
Ruiliang Chen, Jung-Min Park, and Jeffrey H. Reed, “De-fense against Primary User Emulation Attacks in Cognitive Radio Networks”, IEEE Journal on Selected Areas of Com-munications, Vol. 26, No. 1, 2008, pp. 25-37
Ankit Singh Rawat, Priyank Anand, Hao Chen, and Pramod K. Varshney, “Collaborative Spectrum Sensing in the Pres-ence of Byzantine Attacks in Cognitive Radio Networks”, IEEE Transactions on Signal Processing, Vol. 59, No. 2, 2011
Vempaty A, Agrawal K, Varshney P, Hao Chen, “Adaptive learning of Byzantines' behavior in cooperative spectrum sens-ing”, in Proc. IEEE Wireless Communications and Network-ing Conference (WCNC), 2011, pp. 1310 – 1315.
IEEE 802.22 standard at: http://standards.ieee.org/about/get /802/802.22.html
16.Stevenson C, Chouinard G, Zhongding Lei, Wendong Hu, Shellhammer S, Caldwell W, “IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard”, IEEE Communications, pp. 130-138, 2009