Dynamic Spectrum Access with Prioritized Secondary Users in Cognitive Radio Networks

Dynamic Spectrum Access (DSA) has got tremendous attention and research, but most of the existing dynamic spectrum access schemes assume that all Secondary Users (SUs) are of the same priority. In this paper, prioritized SU traffic is considered. The SU traffic in the system is classified into two priority classes based on Quality of Service (QoS) requirements, namely delay-sensitive SU and delay-insensitive SU. Considering that the higher priority users can preempt the transmission of the lower priority users, we develop the analytical model by applying Preemptive Repeat Priority (PRP) M/G/1 queueing theory. Based on the model, we evaluate the overall system time of the prioritized SUs and separately design different spectrum access strategies for them. The results demonstrate that the proposed dynamic spectrum access schemes can simultaneously reduce the overall system time of SUs with different priority classes significantly.

[1]  Shunfu Jin,et al.  A Novel Centralized Spectrum Allocation Scheme in Cognitive Radio Networks and Performance Evaluation , 2012 .

[2]  Chuan Ma,et al.  Analysis of cognitive radio spectrum access with finite primary users and infinite secondary users , 2010, 2010 International Conference on Wireless Communications & Signal Processing (WCSP).

[3]  Choong Seon Hong,et al.  Throughput maximization for the secondary user over multi-channel cognitive radio networks , 2012, The International Conference on Information Network 2012.

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

[5]  Ian F. Akyildiz,et al.  CRAHNs: Cognitive radio ad hoc networks , 2009, Ad Hoc Networks.

[6]  Choong Seon Hong,et al.  Optimal Queueing Control in Hybrid Overlay/Underlay Spectrum Access in Cognitive Radio Networks , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

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

[8]  Chee‐Hock Ng,et al.  Queueing Modelling Fundamentals: With Applications in Communication Networks , 2008 .

[9]  Hung Tran,et al.  Average waiting time of packets with different priorities in cognitive radio networks , 2010, IEEE 5th International Symposium on Wireless Pervasive Computing 2010.

[10]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[11]  Wei Xie,et al.  Analysis of cognitive radio spectrum access for emergency communication system , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

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

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

[14]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.