Design of 1-D Piece-wise Maps for Multi-user CDMA Communications Using a Novel GP-DNA Algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InProceedings{Shanmugam:2002:CSCC,
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author = "Surendran K. Shanmugam and Vinay Varadan and
Henry Leung",
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title = "Design of 1-{D} Piece-wise Maps for Multi-user {CDMA}
Communications Using a Novel {GP}-{DNA} Algorithm",
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booktitle = "6th WSEAS International Multiconference on Circuits,
Systems, Communications and Computers (CSCC 2002)",
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year = "2002",
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editor = "Nikos Mastorakis",
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pages = "444--481",
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address = "Rethymno, Crete, Greece",
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month = jul # " 7-14",
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publisher = "WSEAS",
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keywords = "genetic algorithms, genetic programming, dna
computation, chaos, CDMA, orthogonal codes",
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annote = "The Pennsylvania State University CiteSeerX Archives",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
-
oai = "oai:CiteSeerX.psu:10.1.1.538.8395",
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isbn13 = "960-8052-63-7",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.8395",
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URL = "http://www.wseas.us/e-library/conferences/crete2002/papers/444-481.pdf",
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size = "6 pages",
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abstract = "This paper addresses the design of one dimensional
piece-wise maps to generate optimal codes for short and
long code multi-user CDMA systems. A novel approach,
GP-DNA, that uses genetic programming to search in the
functional space and DNA computation to obtain the
optimal initial conditions has been proposed as the
design methodology. This method automatically designs
orthogonal codes for short-code CDMA and codes with
good aperiodic correlation properties for long code
CDMA. Monte-Carlo simulations illustrate the improved
performance of GP-DNA compared to conventional code
designs.",
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notes = "http://www.wseas.us/e-library/conferences/crete2002/",
- }
Genetic Programming entries for
Surendran Shanmugam
Vinay Varadan
Henry Leung
Citations