@article{scholars6951,
          volume = {89},
       publisher = {Springer New York LLC},
             doi = {10.1007/s11277-016-3288-7},
           title = {Performance Analysis of Multiantenna MC DS CDMA System Over Correlated {\^I}.{\^a}??{\^A}u Multipath Fading Channels},
           pages = {539--568},
            note = {cited By 0},
         journal = {Wireless Personal Communications},
          number = {2},
            year = {2016},
          author = {Amok, J. O. M. and Saad, N. M.},
        keywords = {Code division multiple access; Communication channels (information theory); Electric power factor; Errors; Fading channels; Intelligent systems; MIMO systems; Monte Carlo methods; Multipath fading; Multipath propagation; Probability; Probability density function; Signal receivers; Wireless telecommunication systems, Average error probability; Correlated fading channels; MC-DS-CDMA; Moment generating function; Monte carlo simulation technique; Power factors; Wireless communication channels; Wireless communication system, Frequency selective fading},
        abstract = {In wireless communication channels, the performance of the wireless communication systems deteriorate due to the severe influence of interference, multipath fading, path loss, shadowing, and noise, respectively. In this paper, we investigate the performance of the system transmitting over correlated {\^I}.{\^a}??{\^A}u frequency selective fading channels in terms of average error rates. Based on moment generating function approach, closed form expressions for average error probabilities for the system are derived and represented in terms of Appell{\^a}??s hypergeometric functions and Lauricella{\^a}??s multivariate hypergeometric functions. In addition, probability density function based approach is employed to determine the formulae for average error probabilities of the system operating over correlated {\^I}.{\^a}??{\^A}u multipath fading channels. The numerical results reveal that, the effects of correlation, decaying power factor and signal constellation size can be reduced using frequency, spatial antennas and path diversities, respectively. Furthermore, we confirm the correctness of the analytical approaches through Monte Carlo simulation technique. {\^A}{\copyright} 2016, Springer Science+Business Media New York.},
            issn = {09296212},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964391245&doi=10.1007\%2fs11277-016-3288-7&partnerID=40&md5=f776eba1a2c0930935b85b9eb9bf531c}
}