DocumentCode :
2635355
Title :
STBC CDMA System Simulation in MIMO Channels with Correlative Model
Author :
Rahmati, Mehdi ; Vakili, Vahid Tabataba
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2009
fDate :
7-9 Sept. 2009
Firstpage :
43
Lastpage :
47
Abstract :
In this contribution, Space-Time Block Coding (STBC) Code Division Multiple Access (CDMA) system is simulated to investigate the effect of spatial correlation of Multiple-input multiple-output (MIMO) wireless channels. In practical situations the MIMO antennas are spatially correlated, due to the lack of spacing between them or weak scattering. The correlative model is considered for MIMO channel and simulation results declare that spatial correlation degrades the performance of STBC CDMA system. However, having some information about the channel of each active user at the transmitter, a linear precoder can be exploited, in conjunction with the coding block, to mitigate the effect of correlation in multiuser system which has not been addressed before. In order to design this precoder, the equations of STBC CDMA system, are reconfigured in this paper. Simulation results illustrate that despite the number of interfering users, the anti-correlation precoder could mitigate the performance degradation produced in correlative model.
Keywords :
MIMO communication; code division multiple access; correlation methods; encoding; CDMA system simulation; MIMO channels; STBC; code division multiple access; coding block; correlative model; multiple-input multiple-output; space-time block coding; spatial correlation; weak scattering; Bit error rate; Channel capacity; Computational modeling; Degradation; Equations; MIMO; Multiaccess communication; Receiving antennas; Scattering; Transmitters; CDMA; Correlative model; Precoding; STBC; multiuser system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Modelling and Simulation, 2009. CSSim '09. International Conference on
Conference_Location :
Brno
Print_ISBN :
978-1-4244-5200-2
Electronic_ISBN :
978-0-7695-3795-5
Type :
conf
DOI :
10.1109/CSSim.2009.50
Filename :
5350067
Link To Document :
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