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Environment and Movement Model for Mobile Terminal Location Tracking

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Abstract

Mobile terminal position location, tracking and prediction are becomingimportant areas of research for advanced cellular communications.Methods for mobile terminal location are evaluated using simulations. To obtain accurate simulation results, the simulation environment and terminalmotion model must be as realistic as possible. This paper describes a simulation system for mobile terminals located within vehicles in dense urban environments. These are the mobiles with the greatest need for locationpredictions in the environments of greatest interest to network providers. Theradio propagation model is based on well known multipath radio propagationmodels. The motion model combines an accurate kinematic model for vehicular motion with a driver decision model to mimic human driving decisions.Simulatedmobile terminal motion tracks are presented, showing how realistic motionsare generated.

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References

  1. F.H. Blecher, “Advanced Mobile Phone Service”, IEEE Transactions on Vehicular Technology, Vol. VT-29, No. 2, pp. 238–244, 1980.

    Google Scholar 

  2. L. Jorguseski, E. Fledderus, J. Farserotu and R. Prasad, “Radio Resource Allocation in Third-generation Mobile Communication Systems”, IEEE Communications Magazine, Vol. 39, No. 2, pp. 117–123, 2001.

    Google Scholar 

  3. G.S. Kuo, P.C. Ko and M.L. Kuo, “A Probabilistic Resource Estimation and Semi-reservation Scheme for Flow-oriented Multimedia Wireless Networks”, IEEE Communications Magazine, Vol. 39, No. 2, pp. 135–141, 2001.

    Google Scholar 

  4. J.J. Caffery, Jr. and G.L. Stüber, “Subscriber Location in COMA Cellular Networks”, IEEE Transactions on Vehicular Technology, Vol. 47, No. 2, pp. 406–416, 1998.

    Google Scholar 

  5. M. Hellebrandt and R. Mathar, “Location Tracking of Mobiles in Cellular Radio Networks”, IEEE Transactions on Vehicular Technology, Vol. 48, No. 5, pp. 1558–1562, 1999.

    Google Scholar 

  6. Z. Salcic, “GSM Mobile Station Location Using Reference Stations and Artificial Neural Networks”, Wireless Personal Communications, Vol. 19, pp. 205–226, 2001.

    Google Scholar 

  7. I. Jami, M. Ali and R.F. Ormondroyd, “Comparison ofMethods of Locating and Tracking CellularMobiles”, in IEE Colloquium on Novel Methods of Location and Tracking of Cellular Mobiles and Their System Applications, 1999, pp. 1/1–1/6.

  8. R.R. Collman, “Evaluation of Methods for Determining the Mobile Traffic Distribution in Cellular Radio Networks”, IEEE Transactions on Vehicular Technology, Vol. 50, No. 6, pp. 1629–1635, 2001.

    Google Scholar 

  9. J.D. Parsons, The Mobile Radio Propagation Channel, Pentech Press, 1992.

  10. W.C.Y Lee, Mobile Communications Engineering, McGraw-Hill, Toronto, second edition, 1998.

    Google Scholar 

  11. ETSI, “Universal Mobile Telecommunications Systems (UMTS); Selection Procedures for the Choice of Radio Transmission Technologies of the UMTS (UMTS 30.02 Version 3.2.0)”, Technical Report, European Telecommunications Standards Institute, 1998.

  12. S. Ichitsubo, T. Furono, T. Taga and R. Kawasaki, “Multipath Propagation Model for Line-of-sight Street Microcells in Urban Area”, IEEE Transactions on Vehicular Technology, Vol. 49, No. 2, pp. 422–427, 2000.

    Google Scholar 

  13. E. Dahlman, B. Gudmundson, M. Nilsson and J. Sköld, “UMTS/IMT-2000 Based on Wideband CDMA”, IEEE Communications Magazine, Vol. 36, No. 9, pp. 70–80, 1998.

    Google Scholar 

  14. S. Haykin, Digital Communications, John Wiley & Sons, Inc., Toronto, Ontario, Canada, 1988.

    Google Scholar 

  15. A.J. Viterbi, CDMA: Principles of Spread Spectrum Communication, Addison-Wesley Publishing Company, Don Mills, Ontario, 1995.

    Google Scholar 

  16. H.S.H Gombachika and O.K. Tonguz, “Influence of Multipath Fading and Mobile Unit Velocity on the Performance of PN Tracking in CDMA Systems”, in IEEE Vehicular Technology Conference, May 1997, pp. 2206–2209.

  17. R.D.J. Van Nee, “Spread-spectrum Code and Carrier Synchronization Errors Caused by Multipath and Interference”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 29, No. 4, pp. 1359–1365, 1993.

    Google Scholar 

  18. S. Takezono, H. Minamoto and K. Tao, “Two-dimensional Motion of Four-wheel Vehicles”, Vehicle System Dynamics, Vol. 32, pp. 441–458, 1999.

    Google Scholar 

  19. C.-F. Lin, A.G. Ulsoy and D.J. LeBlanc, “Vehicle Dynamics and External Disturbance Estimation for Vehicle Path Predicition”, IEEE Transactions on Control Systems Technology, Vol. 8, No. 3, pp. 508–518, 2000.

    Google Scholar 

  20. W.D. Glauz and D.W. Harwood, “Chapter 3: Vehicles”, in J.L. Pline (ed.), Traffic Engineering Handbook, Institution of Transportation Engineers, Washington, D.C., 5th edition, 1999.

  21. M.D. Yacoub, Foundations of Mobile Radio Engineering, CRC Press, Inc., Boca Raton, Florida, 1993.

    Google Scholar 

  22. C. Bettstetter, “Smooth is Better than Sharp: A Random Mobility Model for Simulation of Wireless Networks”, in ACM International Workshop on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, Rome, Italy, July 2001, pp. 19–27.

  23. B. Jabbari, Y. Zhou and F. Hillier, “Simple Random Walk Models for Wireless Terminal Movements”, in Vehicular Technology Conference, Houston, Texas, May 1999, pp. 1784–1788.

  24. K.-S. Kim, M.-H. Cho and K.-R. Cho, “A Simple Analytic Approach for the Cell Sojourn Time in the Gaussian Distributed Mobile Velocity”, IEICE Transactions on Communications, Vol. E83-B, No. 5, pp. 1148–1151, 2000.

    Google Scholar 

  25. H. Xie and D.J. Goodman, “Mobility Models and Biased Sampling Problem”, in International Conference on Universal Personal Communications, Ottawa, Ontario, October 1999, pp. 803–807.

  26. M.M. Zonoozi and P. Dassanayake, “A Novel Method for Tracing Mobile Users in a Cellular Mobile Communication System”, Wireless Personal Communications, Vol. 4, pp. 185–205, 1997.

    Google Scholar 

  27. T. Liu, P. Bahl and I. Chlamtac, “Mobility Modeling, Location Tracking, and Trajectory Prediction in Wireless ATM Networks”, IEEE Journal on Selected Areas in Communications, Vol. 16, No. 6, pp. 922–936, 1998.

    Google Scholar 

  28. E. Aleman-Llanes, D. Munoz-Rodriguez and C. Molina, “PCS Subscribers Mobility Modelling Using Fractional Brownian Motion (FBM)”, European Transactions on Communication, Vol. 11, No. 2, pp. 191–198, 2000.

    Google Scholar 

  29. C.F Daganzo, Fundamentals of Transportation and Traffic Operations, Elsevier Science Inc., London, U.K., 1997.

    Google Scholar 

  30. A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, Addison-Wesley Publishing Company, Don Mills, Ontario, second edition, 1994.

    Google Scholar 

  31. K. Ogata, Discrete-Time Control Systems, Prentice Hall, Englewood Cliffs, N.J., 1995.

    Google Scholar 

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McGuire, M., Plataniotis, K. & Venetsanopoulos, A. Environment and Movement Model for Mobile Terminal Location Tracking. Wireless Personal Communications 24, 483–505 (2003). https://doi.org/10.1023/A:1023282928706

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