Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72548
Title: Correlation statistics convolution algorithm for spreading code dependent BER and capacity analysis of finite asynchronous CDMA systems
Authors: Chen, X.H. 
Lang, T.
Oksman, J.
Issue Date: 1996
Source: Chen, X.H.,Lang, T.,Oksman, J. (1996). Correlation statistics convolution algorithm for spreading code dependent BER and capacity analysis of finite asynchronous CDMA systems. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 3 : 1140-1143. ScholarBank@NUS Repository.
Abstract: Some CDMA systems serve finite number of simultaneously active users. Thus, its performance is spreading code dependent and Gaussian approximation is not appropriate to evaluate its performance. To choose proper spreading codes for a finite CDMA system, both peak cross-correlation and squared-sum of cross-correlations should be considered. An algorithm based on multiple variable Bernoulli process is introduced to evaluate BER due to co-channel interference. The algorithm is useful for spreading code dependent capacity analysis, regardless of sizes and operation fashions of a CDMA system. The results show that small Kasami and Gold-like codes offer high capacity in a finite CDMA system.
Source Title: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
URI: http://scholarbank.nus.edu.sg/handle/10635/72548
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

29
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.