Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29381

Select areas to restrict search in scientific publication database:
A Comparison of Adaline and MLP Neural Network based Predictors in SIR Estimation in Mobile DS/CDMA Systems
In this paper we compare the response of linear and nonlinear neural network-based prediction schemes in prediction of received Signal-to-Interference Power Ratio (SIR) in Direct Sequence Code Division Multiple Access (DS/CDMA) systems. The nonlinear predictor is Multilayer Perceptron MLP and the linear predictor is an Adaptive Linear (Adaline) predictor. We solve the problem of complexity by using the Minimum Mean Squared Error (MMSE) principle to select the optimal predictors. The optimized Adaline predictor is compared to optimized MLP by employing noisy Rayleigh fading signals with 1.8 GHZ carrier frequency in an urban environment. The results show that the Adaline predictor can estimates SIR with the same error as MLP when the user has the velocity of 5 km/h and 60 km/h but by increasing the velocity up-to 120 km/h the mean squared error of MLP is two times more than Adaline predictor. This makes the Adaline predictor (with lower complexity) more suitable than MLP for closed-loop power control where efficient and accurate identification of the time-varying inverse dynamics of the multi path fading channel is required.
Digital Object Identifier (DOI):


[1] R. Prasad, CDMA for Wireless Personal Communications, Artech House, 1996.
[2] S. Soliman, C. Wheatley, and R. Padovani, "CDMA reverse link open loop power control," in Proceedings IEEE Global Telecommunications Conference, vol. 1, December 1992.
[3] S. Ariyavisitakul and L. F. Chang, "signal and interference statistics of a CDMA system with feed back power control," IEEE Transactions on Communications, vol. 41, no. 11, November 1993.
[4] A. Kurniawan, Predictive Power Control in CDMA Systems, p.h.d Dissertation, The University of South Australia, Feb. 2003.
[5] F. C. M. Lau and W. M. Tarn, "Novel SIR-Estimation-Based Power Control in a CDMA Mobile Radio System Under Multipath Environment," IEEE Transactions on Vehicular Technology, vol. 50, No. 1, January 2001.
[6] F. C. M. Lau and W. M. Tarn, "Achievable-SIR-Based Predictive Closed-Loop Power Control in a CDMA Mobile System," IEEE Transactions on Vehicular Technology,vol. 51, No. 4, July 2002.
[7] D. P. Mandic and J. A. Champers, Recurrent Neural Networks for Prediction Learning Algorithms Architecture and Stability, 2001.
[8] B. Varone, J. M. A. Tanskanen, and S. J. Ovaska, "Response analysis of feed-forward neural network predictors," in Proc. 1997 International Conference on Acoustics, Speech, and Siganl Processing, pp. 3309-3312, April 1997.
[9] T. Miyajima, T. Hasegawe, and M. Haneishi, "On the multiuser detection using a neural network in code-division multiple access communications," IEICE Transactions on Communication, vol. 76, Aug. 1993.
[10] X. M. Gao, X. Z. Gao, J. M. A. Tanskanen, and S. J. Ovaska, "Power prediction in mobile communication systems using an optimal neuralnetwork structure," IEEE Trans. on Neural Networks, vol. 8, no. 6, November 1997.
[11] X. Z. Gao, X. M. Gao, and S. J. Ovaska, "A modified neural network model with application to dynamical systems identification," In proceeding of the 1996 IEEE International Conference on Systems, October 1996.
[12] P. Heinonen and Y. Neuvo, "FIR-median hybrid filters with predictive FIR substructures," IEEE Trans. Acoustic Speech Signal Processing, vol. 36, pp. 829-899, June 1988.
[13] W. C. Jake, Microwave Mobile Communications, Newyork, Johnwilley, 1994.
[14] W. R. Braun, and U. Dersch, "A physical mobile radio channel model," IEEE Trans. on Vehicular Technology, Vol.VT-40, no. 2, May 1991.
[15] A. J. Viterbi, Principles Of Spread Spectrum Communication, Reading: Addition-wesley , 1995.
[16] R. L. Peterson, R. E. Ziemer, and D. E. Borth, Introduction to Spread Spectrum Communications, Singapore, Prentice Hall international, 1995.
[17] J. G. Proakis, Digital Communications, Newyork: McGraw-Hill, 1995.
[18] M. Cottrell, B. Girard, Y. Girard, M. Mangeas, and C. Muller, "Neural modeling for time series: A statistical stepwise method for weight elimination," IEEE Trans. Neural Networks, vol. 6, pp. 1355-1364, Nov. 1995.
[19] W. Finnoff, F. Hergert, and H. G. Zimmermann, "Improve generalization performance by nonconvergent model selection methods," Neural Networks, vol. 6, pp. 771-783, June 1991.
[20] X. M. Gao, S .J. Ovaska, and I. O. Hartimo, "Restoration of noisy speech using an optimal neural network structure," IEEE International Conference on neural networks, vol. 8, no. 6, November 1997.
[21] X. M. Gao, S. J. Ovaska, M. Lehtokangas, and J. Saarinen, "Modeling of speech signals using an optimal neural-network structure based on the PMDL principle," in IEEE Trans. Speech Audio Processing, vol. 5, 1998.
[22] J. Tanskanen, Multiuser CDMA Power Control Simulator-Efeects of Simple Prediction, Licentiate of Technology Thesis, Helsinki University of Technology, Espoo, Finland, Jan. 1999.
[23] A. Cichocki, and R. Unbehauen, Neural Network for Optimization and Signal Processing, 1993.
[24] V. Ruiz, D. Angulo, and C. Torras, "On-line learning with minimal degradation in feed forward networks," IEEE Trans. Neural Networks, vol. 6, pp. 657-668, May 1995.
[25] E. Aarts and P. Van Laarhoven, Simulated Annealing, Theory and Practice. New York Wiley, 1987.
[26] N. Ardalani, H. Roohi, A. Khoogar, "SIR prediction in mobile CDMA systems by an optimal neural-network-based predictor," in Proceeding of the First International Conference on Modeling, Simulation and Applied Optimization, Sharjah, U.A.E. February 2005.
Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007