Sequences optimization in DS/CDMA systems using genetic algorithms

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationIEEE Region 10 International Conference on Electrical and Electronic Technology
Pages728-731
Publication statusPublished - 2001

Conference

TitleIEEE Region 10 International Conference on Electrical and Electronic Technology
PlaceSingapore
CitySingapore
Period19 - 22 August 2001

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.

Research Area(s)

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

Citation Format(s)

Sequences optimization in DS/CDMA systems using genetic algorithms. / Chan, Tak Ming; Kwong, Sam; Man, Kim Fung et al.
IEEE Region 10 International Conference on Electrical and Electronic Technology. 2001. p. 728-731.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review