DocumentCode :
3064002
Title :
Fast Performance Prediction of Iterative MMSE-IC Receivers in MU-MIMO CDMA Systems
Author :
Lalam, Massinissa ; Visoz, Rapha-el ; Berthet, Antoine O.
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
fYear :
2009
fDate :
20-23 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Abstract-This paper presents a semi-analytical method to predict the performance of iterative interference cancellers used in advanced multiuser MIMO CDMA systems. At the receiver side, the orthogonality between codes is restored by a chip rate equalization allowing the transmitted symbols to be subsequently estimated by a simple correlations. The proposed prediction method is based on Signal to Interference-plus-Noise Ratio (SINR) tracking and Average Mutual Information (AMI) compression. Therefore, the SINR at symbol level after despreading is analytically derived and injected into the algorithm. Simulations confirm that the method provides accurate performance prediction and is fast enough to be integrated in radio resource management and link adaptation mechanisms of advanced MIMO CDMA/MC-CDMA systems using powerful interference cancellation techniques.
Keywords :
MIMO systems; code division multiple access; equalisers; multiuser channels; average mutual information compression; chip rate equalization; fast performance prediction; iterative MMSE-IC receivers; link adaptation mechanisms; multiuser MIMO CDMA systems; radio resource management; signal-to-interference-plus-noise ratio tracking; Algorithm design and analysis; Ambient intelligence; Interference cancellation; Iterative methods; MIMO; Multiaccess communication; Mutual information; Prediction methods; Signal restoration; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th
Conference_Location :
Anchorage, AK
ISSN :
1090-3038
Print_ISBN :
978-1-4244-2514-3
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2009.5378680
Filename :
5378680
Link To Document :
بازگشت