Bit Error Rate Performance for Multicarrier Code Division Multiple Access over Generalized η-μ Fading Environment

Abstract

The multicarrier code division multiple access (MC-CDMA) system has received a considerable attention from researchers owing to its great potential in achieving high data rates transmission in wireless communications. Due to the detrimental effects of multipath fading the performance of the system degrades. Similarly, the impact of non-orthogonality of spreading codes can exist and cause interference. This paper addresses the performance of multicarrier code division multiple access system under the influence of frequency selective generalized η-µ fading channel and multiple access interference caused by other active users to the desired one. We apply Gaussian approximation technique to analyse the performance of the system. The avearge bit error rate is derived and expressed in Gauss hypergeometic functions. Maximal ratio combining diversity technique is utilized to alleviate the deleterious effect of multipath fading. We observed that the system performance improves when the parameter η increase or decreasse in format 1 or format 2 conditions respectively. Keywords MC-CDMA , generalized η-µ fading , average bit error rate, maximal ratio combining.

Effect of Comb type channel estimation on performance of MC-CDMA

“…The performance of MC-CDMA system is analyzed using carrier frequency offsets in correlated multipath fading [4], in Rayleigh fading channels with correlated envelopes and phases [5], over frequency-selective Nakagami-m fading channel with correlated and independent subcarriers for the uplink scenario and Maximal Ratio Combining (MRC) reception [6] and the performance of OFDM-CDMA and CDMA systems in fading channels for the downlink is also studied [7]. Recently, the performance of MC-CDMA over influence of frequency selective generalized Ș-ȝ fading environment is studied in [8]. In this paper, the effect of Comb type estimation is investigated and compared with that using IEEE 802.11a Block type estimation.…”