Parallel interference cancellation efficiency for noisy signals in O-CDMA system

2006 ◽  
Vol 61 (5-6) ◽  
pp. 645-661
Author(s):  
Claire Goursaud ◽  
Anne Julien-Vergonjanne ◽  
Christelle Aupetit-Berthelemot ◽  
Jean-Pierre Cances ◽  
Jean-Michel Dumas
Keyword(s):  
Interference Cancellation ◽  
Cdma System ◽  
Parallel Interference Cancellation ◽  
Noisy Signals

2-Dimensional optical CDMA system performance with parallel interference cancellation

2007 ◽  
Vol 31 (4) ◽  
pp. 215-221 ◽  
Author(s):  
Mikaël Morelle ◽  
Claire Goursaud ◽  
Anne Julien-Vergonjanne ◽  
Christelle Aupetit-Berthelemot ◽  
Jean-Pierre Cances ◽  
...  
Keyword(s):  
System Performance ◽  
Interference Cancellation ◽  
Optical Cdma ◽  
Cdma System ◽  
Parallel Interference Cancellation

scholarly journals Analysis of Multiuser Detectors and Performance improvement in DS-CDMA system using Multistage Multiuser Detection Techniques

2021 ◽  
Author(s):  
Ravindrababu Jaladanki ◽  
Krishnarao Ede ◽  
Raja Rao Yasoda
Keyword(s):  
Computational Complexity ◽  
Multiuser Detection ◽  
System Performance ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Signal Amplitude ◽  
Cdma System ◽  
Parallel Interference Cancellation ◽  
Detection Techniques ◽  
Code Division Multiple

Abstract Among the various interferences, the Multiple Access Interference (MAI) is a significant issue in Direct Sequence Code Division Multiple Access (DS-CDMA) system due to its users. When the number of users is increasing the MAI is likewise increments, subsequently the system performance progressively diminishes particularly in fading environment. In this paper, the system performance is improved by the proposed multistage multiuser detection technique called Multistage Multiuser Differencing Partial Parallel Interference Cancellation (DPPIC). This is the combination of Partial Parallel Interference Cancellation (PPIC) and Differencing Parallel Interference Cancellation (DPIC). Multistage Multiuser Parallel Interference Cancellation (PIC) and Multistage Multiuser PPIC techniques that exist gave improved system performance meaning as the number of stages increases the MAI decreases but at the cost of increased computational complexity. The computational complexity was reduced by utilizing Multistage Difference PIC (DPIC) technique but with no improvement in the performance. To improve the system performance as well as reduce the computational complexity Multistage Multiuser Partial Differencing Parallel Interference Cancellation (PDPIC) method can be used. The simulation results show that the proposed DPPIC technique performs better than PIC, PPIC and PDPIC in terms of Bit Error Rate (BER) versus normalized signal amplitude ( i.e., E b / N 0 ), but computational complexity slightly more than PDPIC in fading environment.

Sign in / Sign up

Export Citation Format

Share Document