Optimization of DS-CDMA Code sequences for Wireless Systems

Sam KWONG, Alex C. H. HO

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review


In this chapter, we propose to apply Genetic Algorithm to Gold codes, Kasami codes and Multiple Spreading to generate sets of CDMA sequences. The analysis has shown us that the GA based pseudo noise (PN) codes have better Signal to noise ratio (SNR) and lower Bit error rate (BER). It also indicated that the Multiple Spreading has many advantages over the other PN code, however, its set of sequences still is not the best. By using Genetic Algorithm, a set of sequences with better SNR and BER can be achieved. The reason is that Multiple Spreading can provide some good genes for optimization. Therefore, we can conclude that the GA based Multiple Spreading is a good solution to generate PN codes for DS-CDMA system.
Original languageEnglish
Title of host publicationRecent Advances in Simulated Evolution and Learning
EditorsKay Chen TAN, Meng Hiot LIM, Xin YAO, Lipo WANG
PublisherWorld Scientific
Number of pages19
ISBN (Print)9789812389527
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameAdvances in Natural Computation
PublisherWorld Scientific
ISSN (Print)2010-295X


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