Sequences optimization in DS/CDMA systems using genetic algorithms

Tak Ming CHAN, Sam KWONG, Kim Fung MAN, Kit Sang TANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

1 Citation (Scopus)

Abstract

In this paper, we propose to use the Gold sequences as the spreading sequences that has a family of M = N + 2 sequences with sequence length of N. They are constructed from any preferred pair of m-sequences and we will choose a subset of sequences from the family of Gold sequences such that Multiple Access Interference (MAI) is minimized. Furthermore, a search method based on Genetic Algorithms (GA) is proposed to find the optimal solution owing to its powerful search ability. Experimental results showed that MAI could be greatly reduced after a proper sequence selection.
Original languageEnglish
Title of host publicationIEEE Region 10 International Conference on Electrical and Electronic Technology
Pages728-731
Publication statusPublished - 2001
Externally publishedYes

Bibliographical note

Supported by the Japanese Ministry of Education, Science and Culture (the Monbusho) and a grant under the Monbusho International Science Research Program.

Keywords

  • CDMA
  • Genetic Algorithms
  • Gold sequences
  • Multiple Access Interference (MAI)

Fingerprint

Dive into the research topics of 'Sequences optimization in DS/CDMA systems using genetic algorithms'. Together they form a unique fingerprint.

Cite this