Performance Analysis of Cognitive Radio Spectrum Access with Prioritized Traffic

Dynamic spectrum access (DSA) is an important design aspect for the cognitive radio networks. Most of the existing DSA schemes are to govern the unlicensed user (i.e., secondary user) traffic in a licensed spectrum without compromising the transmissions of the licensed users, in which all the unlicensed users are typically treated equally. In this paper, prioritized unlicensed user traffic is considered. Specifically, we prioritize the unlicensed user traffic into two priority classes (i.e., high and low priority). Two different DSA policies are proposed to manage the prioritized unlicensed user traffic. These two policies are different in which one does not allow the high priority secondary user to be dropped, while the other allows if the system is full and has some low priority secondary users. We also study the impact of sub-channel reservation for the high priority secondary users in both DSA policies. Both DSA policies are analyzed using Markov chain. For performance measures, we derive the blocking probability, the probability of forced termination and the throughput for both high, and low priority unlicensed users. The numerical results are verified using simulations.

[1]  Ying-Chang Liang,et al.  Design and Analysis for an 802.11-Based Cognitive Radio Network , 2009, 2009 IEEE Wireless Communications and Networking Conference.

[2]  Sachin Shetty,et al.  A Learning-based Multiuser Opportunistic Spectrum Access Approach in Unslotted Primary Networks , 2009, IEEE INFOCOM 2009.

[3]  Wing Yu Yeung Analysis of Cognitive Radio Spectrum Access , 2010 .

[4]  Mislav Grgic,et al.  Dynamic spectrum access in cognitive radio , 2009, 2009 International Symposium ELMAR.

[5]  Nilay Shah,et al.  Wideband spectrum probe for distributed measurements in cellular band , 2006, TAPAS '06.

[6]  Ananthram Swami,et al.  Joint Design and Separation Principle for Opportunistic Spectrum Access in the Presence of Sensing Errors , 2007, IEEE Transactions on Information Theory.

[7]  Brian L. Mark,et al.  Analysis of opportunistic spectrum sharing with markovian arrivals and phase-type service , 2009, IEEE Transactions on Wireless Communications.

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

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

[10]  Jin Soo Park,et al.  Performance analysis of a slotted multi-channel MAC protocols for cognitive radio networks , 2010 .

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

[12]  Hang Su,et al.  Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks , 2008, IEEE Journal on Selected Areas in Communications.

[13]  Q. Zhao,et al.  Decentralized cognitive mac for dynamic spectrum access , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[14]  Lee W. McKnight,et al.  Wireless Internet access: 3G vs. WiFi? , 2003 .

[15]  V. Chakravarthy,et al.  Data-Centric Prioritization in a Cognitive Radio Network: A Quality-of-Service Based Design and Integration , 2008, 2008 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks.

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

[17]  I-Jeng Wang,et al.  Characterization of Spectrum Activities in the U.S. Public Safety Band for Opportunistic Spectrum Access , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[18]  David S. L. Wei,et al.  A cognitive MAC protocol for QoS provisioning in ad hoc networks , 2010, Phys. Commun..

[19]  Sai Shankar Nandagopalan,et al.  IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios , 2006, J. Commun..

[20]  Sunghyun Choi,et al.  IEEE 802.11 e contention-based channel access (EDCF) performance evaluation , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[21]  William J. Stewart,et al.  Introduction to the numerical solution of Markov Chains , 1994 .

[22]  Dharma P. Agrawal,et al.  Priority-based spectrum allocation for cognitive radio networks employing NC-OFDM transmission , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[23]  Mohammad Saquib,et al.  Performance Analysis of a Cognitive Network with Dynamic Spectrum Assignment to Secondary Users , 2010, 2010 IEEE International Conference on Communications.

[24]  Tarik Taleb,et al.  A new opportunistic MAC layer protocol for cognitive IEEE 802.11-based wireless networks , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[25]  Dusit Niyato,et al.  A Novel Spectrum-Scheduling Scheme for Multichannel Cognitive Radio Network and Performance Analysis , 2011, IEEE Transactions on Vehicular Technology.

[26]  Tao Chen,et al.  CogMesh: A Cluster-Based Cognitive Radio Network , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[27]  Georgios B. Giannakis,et al.  A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

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