Design of synchronisation sequences for mobile radio applications using genetic algorithms

R Perry; S Sriranganathan; David Bull; AR Nix

doi:10.1049/cp:19951078

Design of synchronisation sequences for mobile radio applications using genetic algorithms

R Perry, S Sriranganathan, David Bull, AR Nix

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

Abstract

This paper discusses the application of Genetic Algorithms (GAs) to the problem of searching for a set of synchronisation codes for TDMA based mobile radio systems. The problem may be formulated as a constrained optimisation problem and is transformed into an unconstrained one by including a penalty term within the fitness function. The quality of the sequences obtained, using the genetic algorithms, are compared with some previously published results. The paper discusses the sensitivity of the genetic algorithm's behaviour to the formulation of the fitness function and algorithm parameters. Using results from polyphase codes it is also shown how sets of sequences for different modulation formats can be obtained from either a BPSK or QPSK code

Original language	English
Title of host publication	First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995
Publisher	Institution of Engineering and Technology (IET)
Pages	379 - 384
ISBN (Print)	0852966504
DOIs	https://doi.org/10.1049/cp:19951078
Publication status	Published - Sep 1995

Bibliographical note

Sponsorship: The authors wish to express their gratitude to the members of the Centre for Communications Research, University of Bristol. We also wish to thank EPSRC
and Hewlett Packard Laboratories for their support of this work. In particular we would iike to thank Mu Li for helpful discussions

Other identifier: IEE Conf. Publ. No. 414

Keywords

genetic algorithms
constraint handling
mobile radio
optimisation

Access to Document

10.1049/cp:19951078

http://hdl.handle.net/1983/803

Cite this

Perry, R., Sriranganathan, S., Bull, D., & Nix, AR. (1995). Design of synchronisation sequences for mobile radio applications using genetic algorithms. In First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995 (pp. 379 - 384). Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp:19951078

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abstract = "This paper discusses the application of Genetic Algorithms (GAs) to the problem of searching for a set of synchronisation codes for TDMA based mobile radio systems. The problem may be formulated as a constrained optimisation problem and is transformed into an unconstrained one by including a penalty term within the fitness function. The quality of the sequences obtained, using the genetic algorithms, are compared with some previously published results. The paper discusses the sensitivity of the genetic algorithm's behaviour to the formulation of the fitness function and algorithm parameters. Using results from polyphase codes it is also shown how sets of sequences for different modulation formats can be obtained from either a BPSK or QPSK code",

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author = "R Perry and S Sriranganathan and David Bull and AR Nix",

note = "Sponsorship: The authors wish to express their gratitude to the members of the Centre for Communications Research, University of Bristol. We also wish to thank EPSRC and Hewlett Packard Laboratories for their support of this work. In particular we would iike to thank Mu Li for helpful discussions Other identifier: IEE Conf. Publ. No. 414",

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doi = "10.1049/cp:19951078",

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isbn = "0852966504",

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Perry, R, Sriranganathan, S, Bull, D & Nix, AR 1995, Design of synchronisation sequences for mobile radio applications using genetic algorithms. in First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995. Institution of Engineering and Technology (IET), pp. 379 - 384. https://doi.org/10.1049/cp:19951078

Design of synchronisation sequences for mobile radio applications using genetic algorithms. / Perry, R; Sriranganathan, S; Bull, David; Nix, AR.

First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995. Institution of Engineering and Technology (IET), 1995. p. 379 - 384.

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

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N2 - This paper discusses the application of Genetic Algorithms (GAs) to the problem of searching for a set of synchronisation codes for TDMA based mobile radio systems. The problem may be formulated as a constrained optimisation problem and is transformed into an unconstrained one by including a penalty term within the fitness function. The quality of the sequences obtained, using the genetic algorithms, are compared with some previously published results. The paper discusses the sensitivity of the genetic algorithm's behaviour to the formulation of the fitness function and algorithm parameters. Using results from polyphase codes it is also shown how sets of sequences for different modulation formats can be obtained from either a BPSK or QPSK code

AB - This paper discusses the application of Genetic Algorithms (GAs) to the problem of searching for a set of synchronisation codes for TDMA based mobile radio systems. The problem may be formulated as a constrained optimisation problem and is transformed into an unconstrained one by including a penalty term within the fitness function. The quality of the sequences obtained, using the genetic algorithms, are compared with some previously published results. The paper discusses the sensitivity of the genetic algorithm's behaviour to the formulation of the fitness function and algorithm parameters. Using results from polyphase codes it is also shown how sets of sequences for different modulation formats can be obtained from either a BPSK or QPSK code

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BT - First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), 1995

PB - Institution of Engineering and Technology (IET)

ER -

Design of synchronisation sequences for mobile radio applications using genetic algorithms

Abstract

Bibliographical note

Keywords

Access to Document

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Cite this