The study of parallel interference weighted canceller multiuser detection

Author

Xiao, Lei ; Liang, Qinglin

Author_Institution

Inf. & Commun. Networks Group, Siemens Ltd., China

Volume

2

fYear

2000

fDate

2000

Firstpage

754

Abstract

This paper presents an idea about parallel interference weighted canceller (PIWC) to mitigate the degrading effects of unreliable interference estimation that is the key shortcoming of a total interference canceller. Moreover, the computational complexity of the scheme is linear in the number of users and only a little more than that of total PIC. So, the PIWC has great cost of practicability. Based on the Gaussian approximation, the determinate weighting and fuzzy weighting have been studied. Simulation results confirm that the PIWC is better than the total PIC and the fuzzy weighting is better than determinate weighting

Keywords

Gaussian processes; code division multiple access; computational complexity; fuzzy logic; interference suppression; multiuser channels; signal detection; spread spectrum communication; Gaussian approximation; PIWC; computational complexity; degrading effects; determinate weighting; fuzzy weighting; parallel interference weighted canceller multiuser detection; total interference canceller; unreliable interference estimation; Computational complexity; Computational modeling; Costs; Degradation; Estimation; Gaussian approximation; Interference cancellation; Multiple access interference; Multiuser detection; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2000. ICC 2000. 2000 IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-6283-7

Type

conf

DOI

10.1109/ICC.2000.853600

Filename

853600