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Issue No.10 - October (2008 vol.7)
pp: 1257-1270
Xavier Gelabert , Universitat Politecnica de Catalunya (UPC), Barcelona
Jordi Pérez-Romero , Universitat Politecnica de Catalunya (UPC), Barcelona
Oriol Sallent , Universitat Politecnica de Catalunya (UPC), Barcelona
Ramon Agustí , Universitat Politecnica de Catalunya (UPC), Barcelona
This paper addresses the problem of Radio Access Technology (RAT) selection in heterogeneous multi-access/multi-service scenarios. For such purpose, a Markov model is proposed to compare the performance of various RAT selection policies within these scenarios. The novelty of the approach resides in the embedded definition of the aforementioned RAT selection policies within the Markov chain. In addition, the model also considers the constraints imposed by those users with terminals that only support a subset of all the available RATs (i.e. multi-mode terminal capabilities). Furthermore, several performance metrics may be measured to evaluate the behaviour of the proposed RAT selection policies under varying offered traffic conditions. In order to illustrate the validation and suitability of the proposed model, some examples of operative radio access networks are provided, including the GSM/EDGE Radio Access Network (GERAN) and the UMTS Radio Access Network (UTRAN), as well as several service-based, load-balancing and terminal-driven RAT selection strategies. The flexibility exhibited by the presented model enables to extend these RAT selection policies to others responding to diverse criteria. The model is successfully validated by means of comparing the Markov model results with those of system-level simulations.
Algorithm design and analysis, Markov processes, Mobile communication systems, radio resource management.
Xavier Gelabert, Jordi Pérez-Romero, Oriol Sallent, Ramon Agustí, "A Markovian Approach to Radio Access Technology Selection in Heterogeneous Multiaccess/Multiservice Wireless Networks", IEEE Transactions on Mobile Computing, vol.7, no. 10, pp. 1257-1270, October 2008, doi:10.1109/TMC.2008.50
[1] A.K. Salkintzis, “Interworking Techniques and Architectures for WLAN/3G Integration Toward 4G Mobile Data Networks,” IEEE Wireless Comm., vol. 11, no. 3, pp. 50-61, June 2004.
[2] E. Gustafsson and A. Jonsson, “Always Best Connected,” IEEE Wireless Comm., vol. 10, no. 1, pp. 49-55, Feb. 2003.
[3] J. Pérez-Romero et al., “Common Radio Resource Management: Functional Models and Implementation Requirements,” Proc. 16th IEEE Int'l Symp. Personal, Indoor and Mobile Radio Comm. (PIMRC '05), vol. 3, pp. 2067-2071, Sept. 2005.
[4] Improvement of RRM Across RNS and RNS/BSS, 3GPP TR 25.881 v5.0.0, http:/, 2008.
[5] Improvement of RRM Across RNS and RNS/BSS (Post Rel-5) (Release6), 3GPP TR 25.891 v0.3.0, http:/, 2008.
[6] A. Tölli, P. Hakalin, and H. Holma, “Performance Evaluation of Common Radio Resource Management (CRRM),” Proc. IEEE Int'l Conf. Comm. (ICC '02), vol. 5, pp. 3429-3433, Apr.-May 2002.
[7] J. Pérez-Romero, O. Sallent, and R. Agustí, “Policy-Based Initial RAT Selection Algorithms in Heterogeneous Networks,” Proc. Seventh IFIP Int'l Conf. Mobile and Wireless Comm. Networks (MWCN '05), Sept. 2005.
[8] G. Fodor, A. Furuskär, and J. Lundsjo, “On Access Selection Techniques in Always Best Connected Networks,” ITC Specialist Seminar on Performance Evaluation of Wireless and Mobile Systems, Aug. 2004.
[9] O. Yilmaz, A. Furuskär, J. Pettersson, and A. Simonsson, “Access Selection in WCDMA and WLAN Multi-Access Networks,” Proc. 61st IEEE Vehicular Technology Conf. (VTC '05), Spring, vol. 4, pp.2220-2224, May-June 2005.
[10] S. Lincke-Salecker and C.S. Hood, “Integrated Networks that Overflow Speech and Data between Component Networks,” Int'l J. Network Management, vol. 12, no. 4, pp. 235-257, John Wiley & Sons, July-Aug. 2002.
[11] A. Furuskär and J. Zander, “Multiservice Allocation for Multiaccess Wireless Systems,” IEEE Trans. Wireless Comm., vol. 4, no. 1, pp. 174-184, Jan. 2005.
[12] I. Koo, A. Furuskär, J. Zander, and K. Kim, “Erlang Capacity of Multiaccess Systems with Service-Based Access Selection,” IEEE Comm. Letters, vol. 8, no. 11, pp. 662-664, Nov. 2004.
[13] G. Bolch, S. Greiner, H. Meer, and K.S. Trivedi, Queueing Networks and Markov Chains: Modelling and Performance Evaluation with Computer Science Applications. John Wiley & Sons, 1998.
[14] T. Halonen, J. Romero, and J. Melero, GSM, GPRS and EDGE Performance: Evolution Towards 3G/UMTS. John Wiley & Sons, 2002.
[15] J. Pérez-Romero, O. Sallent, R. Agustí, and M. Díaz-Guerra, Radio Resource Management Strategies in UMTS. John Wiley & Sons, 2005.
[16] C. Bettstetter, H.-J. Vogel, and J. Eberspacher, “GSM Phase 2+, General Packet Radio Service GPRS: Architecture, Protocols and Air Interface,” IEEE Comm. Surveys, vol. 2, no. 3, 1999.
[17] M. Ermel, K. Begain, T. Muller, J. Schuler, and M. Schweigel, “Analytical Comparison of Different GPRS Introduction Strategies,” Proc. Third ACM Int'l Workshop Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM '00), pp. 3-10, 2000.
[18] X. Gelabert, J. Pérez-Romero, O. Sallent, and R. Agustí, “On the Suitability of Load Balancing Principles in Heterogeneous Wireless Access Networks,” Proc. Int. Symp. Wireless Personal Multimedia Comm. (WPMC '05), Sept. 2005.
[19] W.J. Stewart, Introduction to the Numerical Solution of Markov Chains. Princeton Univ. Press, 1994.
[20] Selection Procedures for the Choice of Radio Transmission Technologies of the UMTS, Universal Mobile Telecommunications System (UMTS), TR 101 112 V3.2.0 (1998-04), UMTS 30.03 version 3.2.0.
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