%0 Conference Paper
%A Mark, J.O.
%A Saad, M.N.M.
%A Samir, B.B.
%D 2011
%F scholars:1732
%K Average bit error probability; DS-CDMA system; Gaussian approximations; MC-CDMA; Nakagami-m fading, Approximation theory; Bit error rate; Californium; Communication channels (information theory); Fading channels; Global system for mobile communications; MIMO systems; Monte Carlo methods; Signal interference; Signal receivers; Spectrum analyzers; Spurious signal noise; Sustainable development, Code division multiple access
%R 10.1109/NatPC.2011.6136421
%T Average BER perfomance and spectral efficiency for MIMO orthogonal MC DS-CDMA system over Nakagami-m fading channels
%U https://khub.utp.edu.my/scholars/1732/
%X Multiple Input Multiple Output (MIMO) systems have appeared as one of the promising approaches for increasing the capacity and lowering symbol or bit error probability of the wireless communication systems without increasing the bandwidth or the transmission power of the system. In this paper, we investigate the average channel capacity and bit error probability for MIMO orthogonal multicarrier direct Sequence Code Division Multiple Access (OMC DS-CDMA) system in Nakagami-m fading environment. We also consider the influence of the normalized space between two adjacent subcarriers of the system in average channel capacity analysis. Gaussian approximation method is employed to model multiuser interference (MUI) which mostly degrades the system operation. Hence, probability density function (PDF) of the instantaneous signal to interference noise ratio (SINR) is derived using Characteristic Function (CF) based method. Therefore, the exact closed form expression for the average channel capacity is derived by taking the expectation of Shannon channel capacity over the PDF of SINR. The results reveal that the average channel capacity of the MIMO OMC DS-CDMA system outperforms that of the conventional OMC DS-CDMA system. Similarly, we observe that MIMO MC DS-CDMA system has better spectral efficiency and bit error rate performance enhancement. Thus, we confirm the numerical results using Monte Carlo simulation technique. © 2011 IEEE.
%Z cited By 1; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531