Home | Issues | Profile | History | Submission | Review
Vol: 51(65) No: 3 / September 2006

Fuzzy Logic Techniques for Quality of Service Improvement in Next Generation Mobile Networks
Doru Todinca
Department of Computer Science and Engineering, “Politehnica” University of Timisoara, Bd. V. Parvan 2, Timisoara, 300223, Romania, e-mail: doru.todinca@cs.upt.ro


Keywords: next generation networks (NGN), 4G, Quality of Service, fuzzy logic.

Abstract
This article presents methods to improve the performance of next generation cellular data networks, specifically the networks’ capability to dynamically adapt to the context, situation, or user. The complexity of this problem requires new approaches, based on artificial intelligence. The solutions that we propose are: developing inteligent and dynamic scheduling policies between different classes of users in next generation networks (NGN), developing novel channel-dependant scheduling algorithms, flexible admission control policies and interworking between different sub-networks by using intelligent algorithms for vertical handover in heterogeneous networks. The proposed solution is a new approach of applying artificial intelligence approaches in this domain.

References
[1] R. Achieng and H.A.Chan, “A QoS Enabling Queuing Scheme for 4G Wireless Access Networks”, in Proceedings of IWCMC’06, Vancouver, Canada, 2006, pp. 1235-1240.
[2] T. Ahmed, K. Kyamakya and M. Ludwig, “Design and Implementation of a Context-Aware Decision Algorithm for Heterogeneous Networks”, in Proceedings of the 2006 ACM Symposium on Applied Computing SAC’06, Dijon, France, 2006, pp. 1134-1138.
[3] S. Borst, “User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks”, IEEE/ACM Transactions on Networking, vol. 13, No. 3, June 2005, pp. 636-647.
[4] C-J. Chang, L-C. Kuo, Y-S. Chen and S. Shen, “Neural Fuzzy Call Admission and Rate Controller for WCDMA Cellular Systems Providing Multirate Services”, in Proceedings of 2006 International Conference on Communications and Mobile Computing IWCMC’06, Vancouver, Canada, 2006, pp. 383-388.
[5] P.M.L. Chan, R.E. Sherif, Y.F. Hu, P. Conforto and C. Tocci, “Mobility Management Incorporating Fuzzy Logic for a Heterogeneous IP Environment”, IEEE Communications Magazine, pp. 42-51, December 2001.
[6] R.N.S. Chandra and D. Sarkar, “Call Admission Control in Mobile CDMA Systems Using Fuzzzy Associative Memory”, in Proceedings of IEEE International Conference on Communications ICC 2004, Paris, France, 2004.
[7] P. Dini and S. Guglielmucci, “A Call Admission Control Strategy Based on Fuzzy Logic for WCDMA Systems”, in Proceedings of IEEE International Conference on Communications ICC 2004, Paris, France, 2004.
[8] H. Ekstrom, A. Furuskar, J. Karlsson, M. Meyer, S.Parkvall, J. Torsner and M. Whalqvist, “Technical Solutions for the 3G Long Term Evolution”, IEEE Communication Magazine, Radio Communications Supplement, vol. 44, No. 3, March 2006, pp. 38-45.
[9] H. Graja, P. Perry, D. Todinca and J. Murphy, “Novel GPRS simulator for testing MAC protocols”, in Proc of IEE 3G 2003: Fourth International Conference on 3G Mobile Communications Technologies, pp. 409-412, London, UK, June 2003.
[10] K.B. Johnsson and D.C.Cox, “An Adaptive Cross-Layer Scheduler for Improved QoS Support of Multiclass Data Services on Wireless Systems”, IEEE JSAC, vol. 23, no.2, February 2005, pp. 334-343.
[11] X. Liu, E.K.P. Chong and N.B. Shroff, “A Framework for Opportunistic Scheduling in Wireless Networks”, Computer Networks, vol. 41, 2003, pp. 451-474.
[12] G. Liu, J. Zhang, P. Zhang, Y. Wang, X. Liu and S. Li, “Evolution Map from TD-SCDMA to FuTURE B3G TDD”, IEEE Communication Magazine, Radio Communications Supplement, vol. 44, No. 3, March 2006, pp.54-61.
[13] S. Lu, V. Bharghavan and R. Srikant, “Fair Scheduling in Wireless Packet Networks”, IEEE/ACM Transactions on Networking, vol. 7, No 4., pp. 473-489,1999.
[14] T.S.E.Ng, I. Stoica and H. Zhang, “Packet Fair Queueing Algorithms for Wireless Networks with Location-Dependent Errors”, in Proceedings o IEEE INFOCOM’98, pp. 1103-1111, San Francisco, CA, USA, 1998.
[15] S. Patchararungruang, S.K. Halgamuge and N. Shenoy, “Optimized Rule-Based Delay Proportion Adjustment for Proportional Differentiated Services”, IEEE JSAC, vol. 23, no.2, February 2005, pp.261-276.
[16] S. Ryu, S.K.Park, D.Oh, G. Sihn, K. Huan and S. Hwang, “Research Activities on Next-Generation Mobile Communications and Services in Korea”, IEEE Communications Magazine, vol. 43, No 9, September 2005, pp. 122-131.
[17] D. Todinca, H. Graja, P. Perry and J. Murphy, “Novel admission control algorithm for GPRS/EGPRS based on fuzzy logic”, in Proceedings of IEE 5th International Conference on 3G Mobile Communications Technologies 3G3004, London, UK, October 2004.
[18] D. Todinca, P. Perry and J. Murphy, “Novel Prioritised EGPRS Medium Access Regime For Reduced File Transfer Delay During Congested Periods”, Proc.IEE 3rd International Conference on 3G Mobile Communications Technologies, pp.550-554, London, UK, 8-10 May 8-10 2002.
[19] D. Todinca, P. Perry and J. Murphy, “Algorithms for Resource Allocation in Data Transfer over EGPRS Networks”, Proc.2nd European Conference on Universal Multiservice Networks (ECUMN ’2002), pp.246-250, Colmar, France, 8-10 April 2002.
[20] D. Todinca, Alocarea resurselor in retelele GPRS/EGPRS (Resource Allocation in GPRS/EGPRS networks), Editura Politehnica, Timisoara, 2006, ISBN 973-625-332-5.
[21] D. Todinca, I. Sora, P. Perry and J. Murphy, “Supporting Flexible Network Operator Policies in EGPRS trough Admission Control”, in Proceedings of the 10th IFIP Conference on Personal Wireless Communications PWC’05,Colmar, France, august 2005, Editor Pascal Lorenz, Imperial College Press, ISBN 1-86094-582-1, pp. 346-353.