Study on the performance of spectrum mobility in cognitive wireless network

Current frequency allocation scheme results in poor spectrum utility. In some frequency bands, the spectrum may not be fully utilized either on geographical or at temporal level. In addition, on some hot spot business frequency bands, spectrum resources become in short supply. Many papers discuss the new spectrum management policies, and the focus is dynamic spectrum access (DSA) technology based on cognitive radio. However, spectrum mobility and spectrum handoff are new challenges for cognitive wireless networks. Little research addresses these fields now. In this paper, we discuss concepts of spectrum mobility/handoff and research probability models of spectrum holes and cognitive user¿s behavior. A time relationship model of spectrum handoff is proposed. We also research the impact of spectrum mobility and service duration of cognitive user on spectrum handoff probability. Finally, theoretical and simulation results of spectrum handoff probability are obtained.

[1]  J. Mitola,et al.  Cognitive radio for flexible mobile multimedia communications , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[2]  Friedrich K. Jondral,et al.  Efficient Signaling of Spectral Resources in Spectrum Pooling Systems , 2003 .

[3]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[4]  G. Staple,et al.  The end of spectrum scarcity [spectrum allocation and utilization] , 2004, IEEE Spectrum.

[5]  Friedrich Jondral,et al.  Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency , 2004, IEEE Communications Magazine.

[6]  Yeonwoo Lee,et al.  A dynamic spectrum allocation between network operators with priority-based sharing and negotiation , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  M. Raspopovic,et al.  Finite Population Model for Performance Evaluation Between Narrowband and Wideband Users in the Shared Radio Spectrum , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[8]  Rajarathnam Chandramouli,et al.  Dynamic spectrum access in open spectrum wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[9]  Min Yi,et al.  Strategy of Dynamic Spectrum Access Based-on Spectrum Pool , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[10]  Xiukui Li,et al.  Inter-Vendor Dynamic Spectrum Sharing: Feasibility Study and Performance Evaluation , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[11]  A. Hugine,et al.  Cognitive radio applications to dynamic spectrum allocation: a discussion and an illustrative example , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[12]  S.A. Zekavat,et al.  User-central wireless system: ultimate dynamic channel allocation , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[13]  Joseph Mitola.  Cognitive Radio for Flexible Mobile Multimedia Communications , 2001, Mob. Networks Appl..