Multiuser Detection for MIMO CDMA Systems

Abstract

MIMO is a technique to increase data rate significantly with multiple antennas at both the transmitter and receiver. MIMO takes the advantage of random fading and multipath delay spread. MIMO systems will need to function reliably in interference limited environment in order to be effective. CDMA systems are designed to operate in an interference free environment and for this reason it is used in modern cellular systems. The combination of MIMO and CDMA can further improve the system transmission rate over the traditional CDMA system. Multiuser MIMO CDMA systems are considered where each user has multiple transmit antennas, different transmit antennas of the same user use the same spreading code. Matched filter method and decorrelating detector method are used to detect the signals with Gaussian Noise. In many wireless systems the ambient noise is known through experimental measurements to be decidedly non-Gaussian due to largely impulsive phenomena. The performance of many multiuser detectors can degrade substantially in the presence of such impulsive ambient noise. For combating Multi Access Interference and impulsive noise in CDMA communication systems, a technique based on mestimation is used. Performance comparison shows that mestimation has better performance under non-Gaussian noise than the other detection techniques.

The effect of wireless radio channel on WCDMA system with paralel interference cancellation

“…Gezgin iletim kanalı olarak Manchester kent merkezinde yapılan radyo kanalı ölçümlerinde elde edilen yankı istatistikleri kullanıldı. Kanallara ait bağıl güç ve yankı gecikmeleri Tablo 1'de gösterilmiş olup detaylı bilgiler [4,12] …”

Non Iterative Algorithm for Multi-user Detection in DS-CDMA System: An Enhanced Harmony Search Algorithm

“…M.Angeline et al [25] have discussed that in several practical wireless channels, the multi-user detection techniques might be applied, and the ambient noise is expected to have an impulsive component that gives rise to bigger tail probabilities than it was predicted by the Gaussian model. For the known level of noise power, the impulsive noise may critically degrade the error probability of the linear multi-user detectors.…”