Paper Info
Title
Reliability-Aided Multiuser Detection In Time-Frequency-Domain Spread Multicarrier Ds-Cdma Systems
Abstract
In this contribution we propose and study a novel multiuser detection (MUD) scheme for multicarrier direct-sequence code-division multiple-access systems employing both time (T)-domain and frequency (F)-domain spreading, which are referred to as the TF/MC DS-CDMA systems. Specifically, a reliability-aided MUD scheme is proposed, which consists of a linear MUD and a so-called L-level maximum-likelihood (ML)-MUD. The linear MUD is either a joint TF-domain linear MUD or constituted by two linear MUDs, one of which is operated in the T-domain and the other one in the F-domain. The L-level ML-MUD is a reduced ML-MUD, which only searches in a space of size 2(L) in order to find the optimum solutions for the L most unreliable data bits detected by the linear MUD. In this contribution the bit error rate (BER) performance of the TF/MC DS-CDMA using the reliability-aided MUD is investigated, when communicating over additive white Gaussian noise (AWGN) channels or over frequency-selective Rayleigh fading channels. Our simulation results show that the reliability-aided MUD is capable of significantly outperforming the corresponding linear MUD. It can be shown that, provided that the signal-to-noise ratio (SNR) is sufficiently high, the reliability-aided MUD can readily obtain several decibels of SNR gain over the linear MUD at the cost of slight or moderate increase of the detection complexity.
Year
DOI
Venue
2009
10.1109/VETECS.2009.5073833
2009 IEEE VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5
Keywords
Field
DocType
time frequency,code division multiple access,fading,time frequency analysis,signal to noise ratio,spread spectrum communication,gain,maximum likelihood,additive white gaussian noise,bit error rate,awgn,frequency
Rayleigh fading,Fading,Computer science,Signal-to-noise ratio,Multiuser detection,Electronic engineering,Code division multiple access,Additive white Gaussian noise,Bit error rate,Spread spectrum
Conference
Citations 
PageRank 
References 
2
0.41
9
Authors
3
Name
Order
Citations
PageRank
Ke Yuan1293.80
Wei Liu2407.34
Lie-Liang Yang31623163.43