Title :
Iterative Soft Multiuser Detection for MIMO MC-CDMA Systems
Author :
Luo, Zhendong ; Huang, Dawei
Author_Institution :
Bell Labs. Res. China, Alcatel-Lucent, Beijing
Abstract :
In this paper, an iterative soft multiuser detection (MUD) algorithm is proposed for multiple-input multiple-output multi-carrier code-division multiple access (MIMO MC-CDMA) systems. Based on an equivalent system model, an efficient soft MUD algorithm is first derived by the central limit theorem, the property of the complex Gaussian distribution, and fast matrix computation formulas. By iteratively using the soft MUD algorithm with some updated probability information, we then obtain the proposed iterative soft MUD algorithm. Finally, it is shown that this algorithm achieves near-optimal performance with very efficient iterative computations.
Keywords :
Gaussian distribution; MIMO communication; code division multiple access; iterative methods; matrix algebra; multiuser detection; Gaussian distribution; MIMO MC-CDMA systems; equivalent system model; fast matrix computation formulas; iterative soft multiuser detection; multicarrier code-division multiple access system; multiple-input multiple-output system; probability information; Computer simulation; Distributed computing; Frequency diversity; Gaussian distribution; Iterative algorithms; MIMO; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; Receiving antennas;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location :
Calgary, BC
Print_ISBN :
978-1-4244-1721-6
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2008.196