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

Mohammed Zidane (1) , Said Safi (1) , Mohamed Sabri (1) , Miloud Frikel (2)

1 USMS - Université Sultan Moulay Slimane
2 LAC - Laboratoire d'automatique de Caen

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.

Keywords: Adaptive equalization; Adaptive identification; BER; BRAN C; LMP; MC-CDMA system; ZF

Domains: Engineering Sciences [physics]; Signal and Image processing

Mohammed Zidane, Said Safi, Mohamed Sabri, Miloud Frikel. Using Least Mean p-Power Algorithm to Correct Channel Distortion in MC-CDMA Systems. Journal of Telecommunications and Information Technology, 2018, 3, pp.23-30. ⟨10.26636/jtit.2018.114717⟩. ⟨hal-02368213⟩