Congestion Probabilities in Erlang-Engset Multirate Loss Models under the Multiple Fractional Channel Reservation Policy

Abstract A communication link that accommodates different service-classes whose calls have different bandwidth requirements and compete for the available bandwidth under the Multiple Fractional Channel Reservation (MFCR) policy is considered. The MFCR policy allows the reservation of real number of channels in order to favor high speed calls. Two call arrival processes are studied: i) the Poisson (random) process and ii) the quasi-random process. In the first case, calls come from an infinite number of sources while in the second case calls are generated by a finite number of sources. To determine call blocking probabilities for Poisson arriving calls, recursive formulas are proposed based on reverse transition rates. To determine time and call congestion probabilities for quasi-random arriving calls, recursive formulas are proven based on the fact that the steady state probabilities cannot be described by a product form solution. The accuracy of the new formulas is verified through simulation.

[1]  Mariusz Glabowski,et al.  Modelling Limited-Availability Groups with BPP Traffic and Bandwidth Reservation , 2009, 2009 Fifth Advanced International Conference on Telecommunications.

[2]  J. S. Kaufman,et al.  Blocking with Retrials in a Completely Shared Resource Environment , 1992, Perform. Evaluation.

[3]  Zhipeng Wang,et al.  Performance Analysis and Improvement Methods for Channel Resource Management Strategies of LEO–MSS With Multiparty Traffic , 2008, IEEE Transactions on Vehicular Technology.

[4]  George M. Stamatelos,et al.  Reservation-based bandwidth allocation in a radio ATM network , 1997, TNET.

[5]  Maciej Stasiak,et al.  Analytical Model of the Single Threshold Mechanism with Hysteresis for Multi-Service Networks , 2012, IEICE Trans. Commun..

[6]  R. Schober,et al.  Channeling Partitioning Policies for Multi-Class Traffic in LEO-MSS , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Mariusz Glabowski,et al.  A simple approximation of the link model with reservation by a one-dimensional Markov chain , 2000, Perform. Evaluation.

[8]  Gunter Bolch,et al.  Heterogeneous Finite-Source Retrial Queues , 2004 .

[9]  G. Mariusz,et al.  Point-to-point blocking probability in switching networks with reservation , 2002 .

[10]  Anthony C. Boucouvalas,et al.  Performance metrics of a multirate resource sharing teletraffic model with finite sources under the threshold and bandwidth reservation policies , 2015, IET Networks.

[11]  Ioannis D. Moscholios,et al.  Performance Analysis of OCDMA PONs Supporting Multi-Rate Bursty Traffic , 2013, IEEE Transactions on Communications.

[12]  Mariusz Glabowski,et al.  Modeling and Dimensioning of Mobile Networks: Stasiak/Modeling and Dimensioning of Mobile Networks , 2010 .

[13]  Qian Huang,et al.  Approximation of loss calculation for hierarchical networks with multiservice overflows , 2008, IEEE Transactions on Communications.

[14]  Ioannis D. Moscholios,et al.  Call level blocking of ON-OFF traffic sources with retrials under the complete sharing policy , 2003 .

[15]  Villy B. Iversen Evaluation of Multi-service CDMA Networks with Soft Blocking , 2010, NEW2AN.

[16]  George M. Stamatelos,et al.  Admission-control techniques with application to broadband networks , 1994, Comput. Commun..

[17]  Vassilios G. Vassilakis,et al.  The extended connection-dependent threshold model for call-level performance analysis of multi-rate loss systems under the bandwidth reservation policy , 2012, Int. J. Commun. Syst..

[18]  Ioannis D. Moscholios,et al.  Connection-dependent threshold model: a generalization of the Erlang multiple rate loss model , 2002, Perform. Evaluation.

[19]  Mariusz Glabowski,et al.  An Approximate Model of the Full-Availability Group with Multi-Rate Traffic and Finite Source Population , 2004, MMB.

[20]  Lauro Ortigoza-Guerrero,et al.  Recurrent formulas for the multiple fractional channel reservation strategy in multi-service mobile cellular networks , 2004, IEEE Communications Letters.

[21]  Anwar Alyatama Calculation of the performance measurements for elastic optical OFDM networks , 2016, Photonic Network Communications.

[22]  Adam Kaliszan,et al.  Convolution Model of a Queueing System with the cFIFO Service Discipline , 2016, Mob. Inf. Syst..

[23]  Anwar Alyatama Computing the single-link performance measurement for elastic optical OFDM , 2016, Photonic Network Communications.

[24]  Vassilios G. Vassilakis,et al.  Call-Level Performance Modelling of Elastic and Adaptive Service-Classes with Finite Population , 2008, IEICE Trans. Commun..

[25]  Maciej Stasiak,et al.  Traffic Engineering for Multicast Connections in Multiservice Cellular Networks , 2013, IEEE Transactions on Industrial Informatics.

[26]  Feng Zhang,et al.  Performance analysis of the retrial queues with finite number of sources and service interruptions , 2013 .

[27]  Paul R Prucnal,et al.  Performance Analysis of Heterogeneous Optical CDMA Networks With Bursty Traffic and Variable Power Control , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[28]  Miklós Telek,et al.  Bounding the Blocking Probabilities in Multirate CDMA Networks Supporting Elastic Services , 2007, IEEE/ACM Transactions on Networking.

[29]  Vassilios G. Vassilakis,et al.  Handoff modeling in cellular CDMA with finite sources and state-dependent bandwidth requirements , 2014, 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[30]  Ioannis D. Moscholios,et al.  Engset multi-rate state-dependent loss models , 2005, Perform. Evaluation.

[31]  Mariusz Glabowski,et al.  Modelling and Dimensioning of Mobile Wireless Networks: From GSM to LTE , 2011 .

[32]  Indra Widjaja,et al.  Sizing X2 Bandwidth for Inter-Connected eNBs , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[33]  Maciej Stasiak,et al.  Modelling of the WCDMA Interface in the UMTS Network with Soft Handoff Mechanism , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[34]  Ioannis D. Moscholios,et al.  On code reservation in multi-rate OCDMA Passive Optical Networks , 2012, 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP).

[35]  Benjamin Renard,et al.  A dimensioning method for the LTE X2 interface , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[36]  Mariusz Glabowski,et al.  Asymmetric convolution algorithm for blocking probability calculation in full-availability group with bandwidth reservation , 2008, IET Circuits Devices Syst..

[37]  Mariusz Glabowski,et al.  Modelling overflow systems with distributed secondary resources , 2016, Comput. Networks.

[38]  Mariusz Glabowski,et al.  Communication Networks Modelling of virtual-circuit switching nodes with multicast connections , 2009, Eur. Trans. Telecommun..

[39]  Vassilios G. Vassilakis,et al.  Call-Level Analysis of W-CDMA Networks Supporting Elastic Services of Finite Population , 2008, 2008 IEEE International Conference on Communications.

[40]  Jalel Ben-Othman,et al.  A Performance Study of Next Generation Cellular Networks with Base Stations Channels Vacations , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[41]  J. Kaufman,et al.  Blocking in a Shared Resource Environment , 1981, IEEE Trans. Commun..

[42]  Ioannis D. Moscholios,et al.  The Erlang multirate loss model with Batched Poisson arrival processes under the bandwidth reservation policy , 2010, Comput. Commun..

[43]  J S Vardakas,et al.  An Analytical Approach for Dynamic Wavelength Allocation in WDM–TDMA PONs Servicing ON–OFF Traffic , 2011, IEEE/OSA Journal of Optical Communications and Networking.