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Using Least Mean p-Power Algorithm to Correct Channel Distortion in MC-CDMA Systems

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This work focuses on adaptive Broadband Radio Access Network (BRAN) channel identification and on downlink Multi-Carrier Code Division Multiple Access (MCCDMA) equalization. We use the normalized BRAN C channel model for 4G mobile communications, distinguishing between indoor and outdoor scenarios. On the one hand, BRAN C channel parameters are identified using the Least Mean p-Power (LMP) algorithm. On the other, we consider these coefficients in the context of adaptive equalization. We provide an overview and a mathematic formulation of MC-CDMA systems. According to these fundamental concepts, the equalizer technique is investigated analytically to compensate for channel distortion in terms of the bit error rate (BER). The numerical simulation results, for various signal-to-noise ratios and different p threshold, show that the presented algorithm is able to simulate the BRAN C channel measured with different accuracy levels. Furthermore, as far as the adaptive equalization problem is concerned, the results obtained using the zero-forcing equalizer demonstrate that the algorithm is adequate for some particular cases of threshold p.
Słowa kluczowe
Rocznik
Tom
Strony
23--30
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
  • Department of Physics, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, PO box 523, Beni Mellal, Morocco
autor
  • Department of Mathematics and Informatics, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, PO box 523, Beni Mellal, Morocco
autor
  • Department of Physics, Faculty of Sciences and Techniques, Sultan Moulay Slimane University, PO box 523, Beni Mellal, Morocco
autor
  • GREYC UMR 6072 CNRS, ENSICAEN 6, B. Maréchal Juin, 14050 Caen, France
Bibliografia
  • [1] W. Ma, B. Chen, H. Qu, and J. Zhao, „Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise", Signal, Image and Video Process., vol. 10, no. 3, pp. 503-510, 2016 (doi: 10.1007/s11760-015-0757-5).
  • [2] G. Gui, W. Peng, and F. Adachi, „Adaptive system identification using robust LMS/F algorithm", Int. J. of Commun. Syst., vol. 27, no. 11, pp. 2956-2963, 2014 (doi: 10.1002/dac.2517).
  • [3] S. C. Pei and C. C. Tseng, „Least mean p-power error criterion for adaptive FIR _lter", IEEE J. on Selec. Areas in Commun., vol. 12, no. 9, pp. 1540-1547, 1994 (doi: 10.1109/49.339922).
  • [4] W. Ma, H. Qu, J. Zhao, B. Chen, and G. Gui, „Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty", in IEEE Int. Conf. on Digit. Signal Proces. DSP 2015, Singapore, Singapore, 2015, pp. 638-642 (doi: 10.1109/ICDSP.2015.7251952).
  • [5] M. L. Aliyu, M. A. Alkassim, and M. S. Salman, „A p-norm variable step-size LMS algorithm for sparse system identification", Signal, Image and Video Process., vol. 9, no. 7, pp. 1559-1565, 2015 (doi: 10.1007/s11760-013-0610-7).
  • [6] M. Zidane, S. Safi, M. Sabri, A. Boumezzough, and M. Frikel, „Adaptive algorithms versus higher order cumulants for identification and equalization of MC-CDMA", J. of Telecommun. and Inform. Technol., no. 3, pp. 53-62, 2014.
  • [7] N. Ishibushi, Y. Kajikawa, and S. Miyoshi, „Statistical-mechanical analysis of LMS algorithm for time-varying unknown system", J. of the Phys. Society of Japan, vol. 86, no. 2, ID: 024803, 2017 (doi: 10.7566/JPSJ.86.024803).
  • [8] N. Yee, J.-P. M. G. Linnartz, and G. Fettweis, „Multi-Carrier-CDMA in indoor wireless networks", in Proc. Int. Symp. on Pers., Indoor, and Mob. Radio Commun. PIMRC 1993, Yokohama, Japan, 1993, pp. 109-113.
  • [9] M. Frikel, B. Targui, M. M'Saad, and F. Hamon, „Adaptive equalization using controlled equal gain combining for uplink/down link MC-CDMA systems, Int. J. of Signal Process., vol. 4, no. 3, pp. 230-237, 2008.
  • [10] „Broadband Radio Access Networks (BRAN); High Performance Radio Logical Area Network (HIPERLAN) Type 2; Requirements and architectures for wireless broadband access", ETSI, Jan. 1999.
  • [11] „Broadband Radio Access Networks (BRAN); HIPERLAN Type 2; Physical Layer", ETSI, Dec. 2001.
  • [12] M. Zidane, S. Sa_, and M. Sabri, „Compensation of fading channel using partial combining equalizer in MC-CDMA Systems", J. of Telecommun. and Inform. Technol., no. 1, pp. 5-11, 2017.
  • [13] M. Zidane, S. Safi, M. Sabri, and A. Boumezzough, „Identification and equalization using higher order cumulants in MC-CDMA systems", in Proc. 5th Worksh. on Codes, Cryptography and Commun. Syst. WCCCS 2014, El Jadida, Morocco, 2014, pp. 81-85 (doi: 10.1109/WCCCS.2014.7107925).
  • [14] M. Zidane, S. Safi, M. Sabri, A. Boumezzough, and M. Frikel, „Broadband radio access network channel identification and down-link MC-CDMA equalization", Int. J. of Energy, Inform. and Commun., vol. 5, no. 2, pp. 13-34, 2014 (doi: 10.14257/ijeic.2014.5.2.02).
  • [15] J. Y. Baudais, „ Etude des modulations á porteuses multiples et á spectre étalé: analyse et optimisation", Doctoral dissertation, INSA de Rennes, France, 2001 (in French).
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d66cbedb-a80b-43dc-b9fd-acb142097522
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