On prioritised opportunistic spectrum access in cognitive radio cellular networks

Cognitive radio CR networks allow secondary users SUs to opportunistically access licensed spectrum, thus providing efficient use of radio resources. Different studies carried out on CR networks have focused on the procedure of spectrum handoff of SUs such as the data transmission in a communication that can be carried out in different channels. In this paper, we consider cellular networks enhanced with facilities for CR communication where a user with a call in progress moves across neighbouring cells, that is, the so-called inter-cell handoff. Our model assumes that the cell gives priority to inter-cell handoff calls over the calls originating within it. A finite queue is used in every cell for SUs, and a fixed number of buffer slots are reserved for the inter-handoff SU calls. With these considerations, we study the transmission performance of SUs by using Markov chains-based modelling approach. The numerical analysis is validated by simulation experiments. We also suggest a fuzzy logic-based hybrid decision-making algorithm to select the best solution for inter-handoff prioritisation. The goal is to optimise the transmission performance of SUs by leveraging their requirements on service completion throughput and waiting time in each cell. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  Raouf Boutaba,et al.  Performance of Cognitive Radio-Based Wireless Mesh Networks , 2011, IEEE Transactions on Mobile Computing.

[2]  Eric Wing Ming Wong,et al.  Analysis of cognitive radio spectrum access with finite user population , 2009, IEEE Communications Letters.

[3]  Adrian Popescu,et al.  Competition-based channel selection for cognitive radio networks , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[4]  Wei Song,et al.  Performance Analysis of Cognitive Radio Spectrum Access with Prioritized Traffic , 2011, 2011 IEEE International Conference on Communications (ICC).

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

[6]  Adrian Popescu,et al.  Performance of cognitive radio spectrum access with intra- and inter-handoff , 2012, 2012 IEEE International Conference on Communications (ICC).

[7]  Waqas Ahmed,et al.  Comments on "analysis of cognitive radio spectrum access with optimal channel reservation" , 2009, IEEE Trans. Wirel. Commun..

[8]  Elisabeth Rakus-Andersson The Choice of Optimal Medicines , 2007 .

[9]  Stephen P. Boyd,et al.  Efficient nonlinear optimizations of queuing systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[10]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[11]  Kishor S. Trivedi,et al.  Loss formulas and their application to optimization for cellular networks , 2001, IEEE Trans. Veh. Technol..

[12]  T. L. Saaty Exploring the interface between hierarchies, multiple objectives and fuzzy sets , 1978 .

[13]  Dusit Niyato,et al.  Cognitive radio for next-generation wireless networks: an approach to opportunistic channel selection in ieee 802.11-based wireless mesh , 2009, IEEE Wireless Communications.

[14]  Mehmet C. Vuran,et al.  Spectrum Sensing Algorithms for Cognitive Radio Networks , 2008 .

[15]  Heejung Yu,et al.  Optimal channel sensing maximising sum rate in cognitive radio with multiple secondary links , 2013, Trans. Emerg. Telecommun. Technol..

[16]  Xiaorong Zhu,et al.  Analysis of Cognitive Radio Spectrum Access with Optimal Channel Reservation , 2007, IEEE Communications Letters.

[17]  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.

[18]  Dusit Niyato,et al.  Performance Analysis of Cognitive Radio Spectrum Access With Prioritized Traffic , 2012, IEEE Transactions on Vehicular Technology.

[19]  Alexandru Popescu,et al.  Cognitive Radio Networks: Elements and Architectures , 2014 .

[20]  Yan Zhang,et al.  Dynamic Spectrum Access in Cognitive Radio Wireless Networks , 2008, 2008 IEEE International Conference on Communications.

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

[22]  Javier Carmona-Murillo,et al.  Mobility management in packet transport networks for network convergence , 2015, Trans. Emerg. Telecommun. Technol..

[23]  Yong Yao,et al.  A Software Framework for Prioritized Spectrum Access in Heterogeneous Cognitive Radio Networks , 2014 .

[24]  Ian F. Akyildiz,et al.  Spectrum-Aware Mobility Management in Cognitive Radio Cellular Networks , 2012, IEEE Transactions on Mobile Computing.

[25]  Ian F. Akyildiz,et al.  Cognitive Wireless Mesh Networks with Dynamic Spectrum Access , 2008, IEEE Journal on Selected Areas in Communications.

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