Sequences optimization in DS/CDMA systems using genetic algorithms

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

doi:10.1109/tencon.2001.949687

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 Proceedings › Conference paper (refereed) › Research › peer-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 language	English
Title of host publication	Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology
Editors	Dapeng TIEN, Tung C. LIANG
Publisher	IEEE
Pages	728-731
Number of pages	4
ISBN (Electronic)	0780371038
ISBN (Print)	0780371011
DOIs	https://doi.org/10.1109/tencon.2001.949687
Publication status	Published - 2001
Externally published	Yes
Event	IEEE Region 10 International Conference on Electrical and Electronic Technology - , Singapore Duration: 19 Aug 2001 → 22 Aug 2001

Conference

Conference	IEEE Region 10 International Conference on Electrical and Electronic Technology
Country/Territory	Singapore
Period	19/08/01 → 22/08/01

Funding

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)

Access to Document

10.1109/tencon.2001.949687

Cite this

@inproceedings{67d401cac7504249b03af9650ab2f012,

title = "Sequences optimization in DS/CDMA systems using genetic algorithms",

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.",

keywords = "CDMA, Genetic Algorithms, Gold sequences, Multiple Access Interference (MAI)",

author = "CHAN, \{Tak Ming\} and Sam KWONG and MAN, \{Kim Fung\} and TANG, \{Kit Sang\}",

year = "2001",

doi = "10.1109/tencon.2001.949687",

language = "English",

isbn = "0780371011",

pages = "728--731",

editor = "Dapeng TIEN and LIANG, \{Tung C.\}",

booktitle = "Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology",

publisher = "IEEE",

note = "IEEE Region 10 International Conference on Electrical and Electronic Technology ; Conference date: 19-08-2001 Through 22-08-2001",

}

CHAN, TM, KWONG, S, MAN, KF & TANG, KS 2001, Sequences optimization in DS/CDMA systems using genetic algorithms. in D TIEN & TC LIANG (eds), Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. IEEE, pp. 728-731, IEEE Region 10 International Conference on Electrical and Electronic Technology, Singapore, 19/08/01. https://doi.org/10.1109/tencon.2001.949687

Sequences optimization in DS/CDMA systems using genetic algorithms. / CHAN, Tak Ming; KWONG, Sam; MAN, Kim Fung et al.
Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. ed. / Dapeng TIEN; Tung C. LIANG. IEEE, 2001. p. 728-731.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Sequences optimization in DS/CDMA systems using genetic algorithms

AU - CHAN, Tak Ming

AU - KWONG, Sam

AU - MAN, Kim Fung

AU - TANG, Kit Sang

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - CDMA

KW - Genetic Algorithms

KW - Gold sequences

KW - Multiple Access Interference (MAI)

UR - https://www.scopus.com/pages/publications/0035786869

U2 - 10.1109/tencon.2001.949687

DO - 10.1109/tencon.2001.949687

M3 - Conference paper (refereed)

SN - 0780371011

SP - 728

EP - 731

BT - Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology

A2 - TIEN, Dapeng

A2 - LIANG, Tung C.

PB - IEEE

T2 - IEEE Region 10 International Conference on Electrical and Electronic Technology

Y2 - 19 August 2001 through 22 August 2001

ER -

Sequences optimization in DS/CDMA systems using genetic algorithms

Abstract

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Keywords

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