Sequences optimization in DS/CDMA systems using genetic algorithms

Sequences optimization in DS/CDMA systems using genetic algorithms

We propose to use the Gold sequences as the spreading sequences that have a family of M=N+2 sequences with sequence length of N. They are constructed from any preferred pair of m-sequences and we choose a subset of sequences from the family of Gold sequences such that multiple access interference (M...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Tak Ming Chan, Sam Kwong, Kim Fung Man, Kit Sang Tang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biological cells
Bit error rate
Genetic algorithms
Genetic mutations
Gold
Machine assisted indexing
Multiaccess communication
Multiple access interference
Performance evaluation
Search methods
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Beschreibung
Zusammenfassung:We propose to use the Gold sequences as the spreading sequences that have a family of M=N+2 sequences with sequence length of N. They are constructed from any preferred pair of m-sequences and we 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 a genetic algorithm (GA) is proposed to find the optimal solution, owing to its powerful search ability. Experimental results showed that the MAI can be greatly reduced after a proper sequence selection.
DOI:10.1109/TENCON.2001.949687