Equalization of congestion probabilities in a W-CDMA cell supporting calls of finite sources with interference cancellation

In this paper, we consider a multirate teletraffic loss model for the calculation of congestion probabilities in a Wideband Code Division Multiple Access (W-CDMA) cell that utilizes the Bandwidth Reservation (BR) policy and supports calls generated by a finite number of users. The BR policy is used particularly to equalize congestion probabilities among calls of different service-classes. In the proposed model we consider multiple access interference, the notion of local blocking, user's activity and interference cancellation. We show that the calculation of congestion probabilities is based on approximate but recursive formulas, whose accuracy is verified through simulation and found to be quite satisfactory.

[1]  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.

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

[3]  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).

[4]  T.B. Sorensen,et al.  Interference cancellation and 4-branch antenna diversity for WCDMA uplink packet access , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[5]  Ioannis D. Moscholios,et al.  A Quasi-random Multirate Loss Model Supporting Elastic and Adaptive Traffic , 2012 .

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

[7]  M. Glabowski,et al.  Modelling of systems with overflow multi-rate traffic and finite number of traffic sources , 2008, 2008 6th International Symposium on Communication Systems, Networks and Digital Signal Processing.

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

[9]  J. S. Vardakas,et al.  Evaluation of dynamic wavelength allocation scenarios in WDM-TDMA PONs servicing ON-OFF traffic of finite sources , 2011, Proceedings of the 11th International Conference on Telecommunications.

[10]  D MoscholiosIoannis,et al.  Engset multi-rate state-dependent loss models , 2005 .

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

[12]  Tatsuya Suda,et al.  An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks , 1998, IEEE J. Sel. Areas Commun..

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

[14]  Antti Toskala,et al.  Wcdma for Umts , 2002 .

[15]  Ioannis D. Moscholios,et al.  An ON-OFF Multi-Rate Loss Model of Finite Sources , 2007, IEICE Trans. Commun..

[16]  Anthony C. Boucouvalas,et al.  QoS guarantee in a batched poisson multirate loss model supporting elastic and adaptive traffic , 2012, 2012 IEEE International Conference on Communications (ICC).

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

[18]  L. Delbrouck On the Steady-State Distribution in a Service Facility Carrying Mixtures of Traffic with Different Peakedness Factors and Capacity Requirements , 1983, IEEE Trans. Commun..

[19]  L. Popova,et al.  Analytical Performance Evaluation of Mixed Services with Variable Data Rates for the Uplink of UMTS , 2006, 2006 3rd International Symposium on Wireless Communication Systems.

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

[21]  Haruo Akimaru,et al.  Teletraffic: Theory and Applications , 1993 .

[22]  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.

[23]  Ioannis D. Moscholios,et al.  Engset multi‐rate state‐dependent loss models with QoS guarantee , 2006, Int. J. Commun. Syst..

[24]  Moshe Zukerman,et al.  Enhanced Blocking Probability Evaluation Method for Circuit-Switched Trunk Reservation Networks , 2007, IEEE Communications Letters.

[25]  Kalyan Kuppuswamy,et al.  An Analytic Approach to Efficiently Computing Call Blocking Probabilities for Multiclass WDM Networks , 2009, IEEE/ACM Transactions on Networking.

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

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

[28]  Adam Kaliszan,et al.  Modeling product-form state-dependent systems with BPP traffic , 2010, Perform. Evaluation.