Title :
The study of parallel interference weighted canceller multiuser detection
Author :
Xiao, Lei ; Liang, Qinglin
Author_Institution :
Inf. & Commun. Networks Group, Siemens Ltd., China
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;
Conference_Titel :
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-6283-7
DOI :
10.1109/ICC.2000.853600
