An efficient spectrum decision scheme in opportunistic spectrum access networks

In this paper, we propose and compare two spectrum decision schemes namely; Adaptive Spectrum Decision (ASD) and Maximum Remaining Lifetime (MRL). The simulation results and performance analysis such as channel utilization, data delivery, and handoff rates are evaluated and compared.

[1]  Mihaela van der Schaar,et al.  Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications Over Cognitive Radio Networks , 2008, IEEE Transactions on Multimedia.

[2]  Lei Yang,et al.  Proactive channel access in dynamic spectrum networks , 2008, Phys. Commun..

[3]  Brian M. Sadler,et al.  Dynamic Spectrum Access: Signal Processing, Networking, and Regulatory Policy , 2006, ArXiv.

[4]  Ahmad Bahai,et al.  Optimal Channel Selection for Spectrum-Agile Low-Power Wireless Packet Switched Networks in Unlicensed Band , 2008, EURASIP J. Wirel. Commun. Netw..

[5]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[6]  Yunzhou Li,et al.  Opportunistic channel selection approach under collision probability constraint in cognitive radio systems , 2009, Comput. Commun..

[7]  Li-Chun Wang,et al.  On the performance of spectrum handoff for link maintenance in cognitive radio , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[8]  Lang Tong,et al.  Optimal Cognitive Access of Markovian Channels under Tight Collision Constraints , 2010, 2010 IEEE International Conference on Communications.

[9]  Dong-Ho Cho,et al.  Efficient spectrum matching based on spectrum characteristics in cognitive radio systems , 2008, 2008 Wireless Telecommunications Symposium.

[10]  Ananthram Swami,et al.  Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework , 2007, IEEE Journal on Selected Areas in Communications.

[11]  Eylem Ekici,et al.  Voluntary Spectrum Handoff: A Novel Approach to Spectrum Management in CRNs , 2010, 2010 IEEE International Conference on Communications.

[12]  Jiang Xie,et al.  Common Hopping Based Proactive Spectrum Handoff in Cognitive Radio Ad Hoc Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[13]  Christos Politis,et al.  Optimal spectrum hole selection & exploitation in cognitive radio networks , 2011, Proceedings of ITU Kaleidoscope 2011: The Fully Networked Human? - Innovations for Future Networks and Services (K-2011).

[14]  Brian M. Sadler,et al.  Opportunistic Spectrum Access via Periodic Channel Sensing , 2008, IEEE Transactions on Signal Processing.

[15]  Martine Villegas,et al.  Survey on spectrum utilization in Europe: Measurements, analyses and observations , 2010, 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[16]  K. J. Ray Liu,et al.  Primary-prioritized Markov approach for dynamic spectrum allocation , 2009, IEEE Transactions on Wireless Communications.

[17]  Jie Liu,et al.  A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

[18]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[19]  Kai-Ten Feng,et al.  A POMDP-Based Spectrum Handoff Protocol for Partially Observable Cognitive Radio Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.