A mobility scheme for cognitive radio networks

S Cognitive radio network is a promising wireless network where smart devices are able to opportunistically exploit the spectrum holes and optimize the overall radio spectrum use. The provision of quality of service and mobility management is imperative to providing efficient cognitive radio systems. In this paper, we present a mobility scheme that enables cognitive radio users to seamlessly switch towards the best available spectrum band when moving from one network to another one. On the one hand, our proposal conserves the frequency and the bandwidth needed for users' application. On the other hand, it allows cognitive radio users to have the best band with a good price and a large use duration based on a trading mechanism established between primary and cognitive radio users. Simulation results prove that our approach preserves users' continuity of service during their mobility and ensures high utility for both primary and cognitive radio users.

[1]  Li Zhang,et al.  Opportunistic spectrum scheduling for mobile cognitive radio networks in white space , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[2]  Ian F. Akyildiz,et al.  TP-CRAHN: a Transport Protocol for Cognitive Radio Ad-Hoc Networks , 2009, IEEE INFOCOM 2009.

[3]  John Cosmas,et al.  Adaptive congestion control for mobility in cognitive radio networks , 2011, 2011 Wireless Advanced.

[4]  Fengqin Zhang.  Anti-periodic Boundary Value Problem for Impulsive Differential Equations with Delay , 2007 .

[5]  Ingo Karla,et al.  Cognitive Spectrum Portfolio Optimisation, Approaches and Exploitation , 2013, EW.

[6]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[7]  Marco Di Felice,et al.  SEARCH: A routing protocol for mobile cognitive radio ad-Hoc networks , 2009 .

[8]  Ian F. Akyildiz,et al.  A survey of mobility management in next-generation all-IP-based wireless systems , 2004, IEEE Wirel. Commun..

[9]  Joseph Mitola,et al.  Cognitive Radio Architecture: The Engineering Foundations of Radio XML , 2006 .

[10]  Junde Song,et al.  Extended Mobility Management Challenges over Cellular Networks combined with Cognitive Radio by using Multi-hop Network , 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

[11]  Leïla Merghem,et al.  Multi-Agent Systems Negotiation Approach for Handoff in Mobile Cognitive Radio Networks , 2012, 2012 5th International Conference on New Technologies, Mobility and Security (NTMS).

[12]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[13]  Zoran Damljanovic.  Mobility Management Strategies in Heterogeneous Cognitive Radio Networks , 2009, Journal of Network and Systems Management.

[14]  György Pongor,et al.  OMNeT: Objective Modular Network Testbed , 1993, MASCOTS.

[15]  Luca De Nardis,et al.  Mobility-aware design of cognitive radio networks: Challenges and opportunities , 2010, 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications.