Meaning of Maximum and Mean-Square Cross-Correlation as a Performance Measure for CDMA Code Families and Their Influence on System Capacity

Kari H. A. KÄRKKÄINEN

Publication
IEICE TRANSACTIONS on Communications   Vol.E76-B    No.8    pp.848-854
Publication Date: 1993/08/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Spread Spectrum Techniques and Applications)
Category: 
Keyword: 
code-division multiple-access,  spread-spectrum multiple-access,  spreading codes,  pseudo-noise sequences,  sequence design,  correlation,  system capacity,  

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Summary: 
It is concluded from numerical examples for the well-known linear PN sequence families of a large range of periods that the mean-square cross-correlation value between sequences is the dominating parameter to the average signal-to-noise power ratio performance of an asynchronous direct-sequence (DS) code-division multiple-access (CDMA) system. The performance parameters derived by Pursley and Sarwate are used for numerical evaluation and the validity of conclusion is supported by reviewing the other related works. The mean-square periodic cross-correlation takes the equal value p (code period) for the known CDMA code families. The equal mean-square cross-correlation performance results from the basic results of coding theory.