Nonlinear programming based detectors for multiuser systems

A. Yener

doi:10.1109/ITCC.2001.918815

Nonlinear programming based detectors for multiuser systems

A. Yener

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Maximum likelihood (ML) detection problems for several multiuser systems result in nonlinear optimization problems with unacceptably high complexity. One way of achieving near-optimum performance without the complexity associated with the ML detector is using nonlinear programming relaxations to approximate the solution of the ML detection problem at hand. Using this approach, new detectors are formulated and it is observed that some popular suboptimum receivers correspond to relaxations of the ML detectors. We concentrate on two types of systems to demonstrate this concept and evaluate the performance of the resulting detectors.

Original language	English (US)
Title of host publication	Proceedings - International Conference on Information Technology
Subtitle of host publication	Coding and Computing, ITCC 2001
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	327-331
Number of pages	5
ISBN (Electronic)	0769510620, 9780769510620
DOIs	https://doi.org/10.1109/ITCC.2001.918815
State	Published - 2001
Event	International Conference on Information Technology: Coding and Computing, ITCC 2001 - Las Vegas, United States Duration: Apr 2 2001 → Apr 4 2001

Publication series

Name	Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001

Other

Other	International Conference on Information Technology: Coding and Computing, ITCC 2001
Country/Territory	United States
City	Las Vegas
Period	4/2/01 → 4/4/01

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems
Software

Access to Document

10.1109/ITCC.2001.918815

Cite this

Yener, A. (2001). Nonlinear programming based detectors for multiuser systems. In Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001 (pp. 327-331). Article 918815 (Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITCC.2001.918815

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title = "Nonlinear programming based detectors for multiuser systems",

abstract = "Maximum likelihood (ML) detection problems for several multiuser systems result in nonlinear optimization problems with unacceptably high complexity. One way of achieving near-optimum performance without the complexity associated with the ML detector is using nonlinear programming relaxations to approximate the solution of the ML detection problem at hand. Using this approach, new detectors are formulated and it is observed that some popular suboptimum receivers correspond to relaxations of the ML detectors. We concentrate on two types of systems to demonstrate this concept and evaluate the performance of the resulting detectors.",

author = "A. Yener",

note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; International Conference on Information Technology: Coding and Computing, ITCC 2001 ; Conference date: 02-04-2001 Through 04-04-2001",

year = "2001",

doi = "10.1109/ITCC.2001.918815",

language = "English (US)",

series = "Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "327--331",

booktitle = "Proceedings - International Conference on Information Technology",

address = "United States",

}

Yener, A 2001, Nonlinear programming based detectors for multiuser systems. in Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001., 918815, Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001, Institute of Electrical and Electronics Engineers Inc., pp. 327-331, International Conference on Information Technology: Coding and Computing, ITCC 2001, Las Vegas, United States, 4/2/01. https://doi.org/10.1109/ITCC.2001.918815

Nonlinear programming based detectors for multiuser systems. / Yener, A.
Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001. Institute of Electrical and Electronics Engineers Inc., 2001. p. 327-331 918815 (Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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N2 - Maximum likelihood (ML) detection problems for several multiuser systems result in nonlinear optimization problems with unacceptably high complexity. One way of achieving near-optimum performance without the complexity associated with the ML detector is using nonlinear programming relaxations to approximate the solution of the ML detection problem at hand. Using this approach, new detectors are formulated and it is observed that some popular suboptimum receivers correspond to relaxations of the ML detectors. We concentrate on two types of systems to demonstrate this concept and evaluate the performance of the resulting detectors.

AB - Maximum likelihood (ML) detection problems for several multiuser systems result in nonlinear optimization problems with unacceptably high complexity. One way of achieving near-optimum performance without the complexity associated with the ML detector is using nonlinear programming relaxations to approximate the solution of the ML detection problem at hand. Using this approach, new detectors are formulated and it is observed that some popular suboptimum receivers correspond to relaxations of the ML detectors. We concentrate on two types of systems to demonstrate this concept and evaluate the performance of the resulting detectors.

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Yener A. Nonlinear programming based detectors for multiuser systems. In Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001. Institute of Electrical and Electronics Engineers Inc. 2001. p. 327-331. 918815. (Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2001). doi: 10.1109/ITCC.2001.918815

Nonlinear programming based detectors for multiuser systems

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Other

All Science Journal Classification (ASJC) codes

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