Abstract
In multiuser wireless communication systems, signal recovery, even at low BER is a relevant factor for ensuring a safe and reliable communication. Efforts for interference minimization include multiple analysis of source coding/decoding techniques, channel coding/decoding techniques and multiuser de
Highlights
The performances of wireless communication system are significantly affected by the fading phenomena and co-channel interference, over the years a large number of techniques have been developed in order to reduce those effects [1,2]
This paper investigates the effects of LDPC technique over fading transmission channel, the results being compared with the ones achieved in Additive White Gaussian Noise (AWGN)
In order to evaluate the performances of the implemented system Bit Error Rate (BER) has been evaluated for each user considering performance evaluation with/without LDPC coding with different signature sequences and types of communication channel
Summary
The performances of wireless communication system are significantly affected by the fading phenomena and co-channel interference, over the years a large number of techniques have been developed in order to reduce those effects [1,2]. In [3] for a MIMO-CDMA system Minimum Mean Square Error (MMSE) multiuser detection provides lower Bit Error Rate (BER) in presence of Rayleigh fading channel using turbo technique. To achieve significant performance improvement for each user in Spread Spectrum (SS) systems there should be determined the most appropriate multiuser detector algorithm, the best spreading sequence and the most efficient coding/decoding technique. In [10] MMSE multiuser receiver using Walsh-Hadamard and PN sequences achieve very good performances if the codes are perfectly orthogonal while a small misalignment may lead to large cross-correlation coefficients and a significant degradation of the results obtained with respect to BER. This paper investigates the effects of LDPC technique over fading transmission channel, the results being compared with the ones achieved in Additive White Gaussian Noise (AWGN).
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