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|Title:||Correlation statistics convolution algorithm for spreading code dependent BER and capacity analysis of finite asynchronous CDMA systems|
|Authors:||Chen, X.H. |
|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|
|Appears in Collections:||Staff Publications|
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