%0 Journal Article
%@ 14348411
%A Mark, J.O.
%A Samir, B.B.
%A Saad, N.M.
%D 2013
%F scholars:4030
%J AEU - International Journal of Electronics and Communications
%K Average channel capacities; Average error probability; MC-DS-CDMA; Moment generating function; Monte carlo simulation technique; Multicarrier direct sequence code-division multiple access; Probability density function (pdf); Signal to interference-noise ratios, Communication channels (information theory); Fading channels; Feedback control; MIMO systems; Monte Carlo methods; Probability; Probability density function; Signal interference; Signal receivers; Spurious signal noise, Code division multiple access
%N 4
%P 269-281
%R 10.1016/j.aeue.2012.08.011
%T Capacity and error probability performance analysis for MIMO MC DS-CDMA system in η-μ Fading environment
%U https://khub.utp.edu.my/scholars/4030/
%V 67
%X In this paper, we investigate the effect of multiple input multiple output (MIMO) systems on the performance of the multicarrier direct sequence code division multiple access (MC DS-CDMA) system operating over independent identically distributed (i.i.d) η-μ flat fading environment in terms of average error probability and average channel capacity. We derive the instantaneous signal to interference noise ratio (SINR) at the output of the receiver. Hence, based on moment generating function (MGF) approach, we obtain the probability density function (PDF) of the instantaneous SINR. Closed form expressions of average error probabilities for the system are developed and expressed in Appell's and Lauriccella's hypergeometric functions. Furthermore, we achieve exact expression of average channel capacity for the system. Finally, we validate our results using Monte Carlo simulation technique and also compare with those already available in the literature. © 2012 Elsevier GmbH. All rights reserved.
%Z cited By 6