Performance analysis of coordinated cognitive radio networks under fixed-rate traffic with hard delay constraints

Due to the unpredictable nature of channel availability, carrying delay-sensitive traffic in cognitive radio networks (CRNs) is very challenging. Spectrum leasing of radio resources has been proposed in the so called coordinated CRNs to improve the quality of service (QoS) experienced by secondary users (SUs). In this paper, the performance of coordinated CRNs under fixed-rate with hard-delay-constraints traffic is analyzed. For the adequate and fair performance comparison, call admission control strategies with fractional channel reservation to prioritize ongoing secondary calls over new ones are considered. Maximum Erlang capacity is obtained by optimizing the number of reserved channels. Numerical results reveal that system performance strongly depends on the value of the mean secondary service time relative to the mean primary service time. Additionally, numerical results show that, in CRNs without spectrum leasing, there exists a critical utilization factor of the primary resources from which it is not longer possible to guarantee the required QoS of SUs and, therefore, services with hard delay constraints cannot be even supported in CRNs. Thus, spectrum leasing can be essential for CRN operators to provide the QoS demanded by fixed-rate applications with hard delay constraints. Finally, the cost per capacity Erlang as function of both the utilization factor of the primary resources and the maximum allowed number of simultaneously rented channels is evaluated.

[1]  Frank Y. Li,et al.  Modeling and Performance Analysis of Channel Assembling in Multichannel Cognitive Radio Networks With Spectrum Adaptation , 2012, IEEE Transactions on Vehicular Technology.

[2]  Jyu-Wei Wang,et al.  Analysis of Cognitive Radio Networks with Imperfect Sensing and Backup Channels , 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[3]  William Lehr,et al.  Time-Limited Leases in Radio Systems , 2007 .

[4]  Mario E. Rivero-Angeles,et al.  Joint Connection Level and Packet Level Analysis of Cognitive Radio Networks with VoIP Traffic , 2014, IEEE Journal on Selected Areas in Communications.

[5]  Janne J. Lehtomäki,et al.  Analysis of cognitive radio networks with imperfect sensing , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[6]  Mario E. Rivero-Angeles,et al.  Erlang capacity in coordinated cognitive radio networks with stringent-delay applications , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[7]  Victor C. M. Leung,et al.  Performance Enhancement for Unlicensed Users in Coordinated Cognitive Radio Networks via Channel Reservation , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[8]  Lauro Ortigoza-Guerrero,et al.  Capacity optimization in multiservice mobile wireless networks with multiple fractional channel reservation , 2003, IEEE Trans. Veh. Technol..

[9]  Xiaorong Zhu,et al.  Spectrum Capacity for Ad Hoc Networks Using Cognitive Radios: An Analytical Model , 2013, Wirel. Pers. Commun..

[10]  M. Buddhikot,et al.  Spectrum management in coordinated dynamic spectrum access based cellular networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[11]  Don Towsley,et al.  Personal & wireless communications: digital technology & standards , 1997, MOCO.

[12]  Tien Van Do,et al.  A new queueing model for spectrum renting in mobile cellular networks , 2012, Comput. Commun..

[13]  Shensheng Tang A general model of opportunistic spectrum sharing with unreliable sensing , 2014, Int. J. Commun. Syst..

[14]  Lauro Ortigoza-Guerrero,et al.  Performance analysis of fractional guard channel policies in mobile cellular networks , 2006, IEEE Transactions on Wireless Communications.

[15]  Jianwei Huang,et al.  Investment and Pricing with Spectrum Uncertainty: A Cognitive Operator's Perspective , 2009, IEEE Transactions on Mobile Computing.

[16]  Yong Huat Chew,et al.  Performance Comparison of Three Spectrum Admission Control Policies in Coordinated Dynamic Spectrum Sharing Systems , 2009, IEEE Transactions on Vehicular Technology.

[17]  Yevgeni Koucheryavy,et al.  Effect of AMC on fixed-rate traffic with hard delay constraints in mobile broadband systems , 2015, Wirel. Commun. Mob. Comput..

[18]  Alexandru Popescu,et al.  Cognitive radio networks with elastic traffic , 2012, Proceedings of the 8th Euro-NF Conference on Next Generation Internet NGI 2012.

[19]  Lin Gao,et al.  Contract-based cooperative spectrum sharing , 2011, 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).

[20]  Oriol Sallent,et al.  Spectrum sharing in cognitive radio networks with imperfect sensing: A discrete-time Markov model , 2010, Comput. Networks.

[21]  Jorge Martínez-Bauset,et al.  Optimal admission control in cognitive radio networks , 2009, 2009 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[22]  Carlos Mosquera,et al.  Dynamic Spectrum Leasing: A New Paradigm for Spectrum Sharing in Cognitive Radio Networks , 2010, IEEE Transactions on Vehicular Technology.

[23]  John M. Chapin,et al.  Time-limited leases in radio systems [Topics in Radio Communications] , 2007, IEEE Communications Magazine.

[24]  Brian L. Mark,et al.  Modeling and analysis of opportunistic spectrum sharing with unreliable spectrum sensing , 2009, IEEE Transactions on Wireless Communications.

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

[26]  Jinling Song,et al.  Fair and Efficient Spectrum Splitting for Unlicensed Secondary Users in Cooperative Cognitive Radio Networks , 2013, Wirel. Pers. Commun..

[27]  Robert B. Cooper,et al.  An Introduction To Queueing Theory , 2016 .

[28]  Yuping Zhao,et al.  Delay Sensitive Communications over Cognitive Radio Networks , 2012, IEEE Transactions on Wireless Communications.

[29]  Kiril Kassev,et al.  A New Paradigm of CAC Dimensioning for VoIP Traffic over Wireless Access Networks , 2010, 2010 Fourth International Conference on Digital Society.

[30]  David J. Edwards,et al.  Quality of service-aware coordinated dynamic spectrum access: prioritized Markov model and call admission control , 2013, Wirel. Commun. Mob. Comput..

[31]  Andreas Mitschele-Thiel,et al.  Increasing spectrum capacity for ad hoc networks using cognitive radios: an analytical model , 2009, IEEE Communications Letters.

[32]  David Starobinski,et al.  Optimal admission control of secondary users in preemptive cognitive radio networks , 2012, 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[33]  Geoffrey Ye Li,et al.  Cognitive radio networking and communications: an overview , 2011, IEEE Transactions on Vehicular Technology.