A nonlinear iterative beamforming technique for wireless communications

M. Sellathurai; S. Haykin

doi:10.1109/ACSSC.1999.831851

A nonlinear iterative beamforming technique for wireless communications

M. Sellathurai, S. Haykin

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

6 Citations (Scopus)

Abstract

In this paper, we propose an iterative beamformer for multi-Transmit, multi-receive wireless communications. The paper introduces an optimal MAP receiver with implementation complexity exponential in terms of the number of transmitting antennas, and a suboptimal nonlinear parallel interference cancelation scheme that significantly reduces the degradation effect of interference with implementation complexity linear in the number of transmitting antennas. The proposed receiver has a two-stage learning strategy: A linear beamforming phase using a short training sequence for learning the linear decision regions, and a nonlinear iterative scheme that makes use of the implicit form of supervision provided by a forward error-correction code (FEC) for tracking the nonlinear optimal decision boundaries. Simulations are provided as experimental evidence for the performance of the new receiver.

Original language	English
Title of host publication	Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers
Publisher	IEEE
Pages	957-961
Number of pages	5
ISBN (Print)	0780357000
DOIs	https://doi.org/10.1109/ACSSC.1999.831851
Publication status	Published - 1999
Event	33rd Asilomar Conference on Signals, Systems, and Computers 1999 - Pacific Grove, United States Duration: 24 Oct 1999 → 27 Oct 1999

Conference

Conference	33rd Asilomar Conference on Signals, Systems, and Computers 1999
Abbreviated title	ACSSC 1999
Country/Territory	United States
City	Pacific Grove
Period	24/10/99 → 27/10/99

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.1999.831851

Cite this

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title = "A nonlinear iterative beamforming technique for wireless communications",

abstract = "In this paper, we propose an iterative beamformer for multi-Transmit, multi-receive wireless communications. The paper introduces an optimal MAP receiver with implementation complexity exponential in terms of the number of transmitting antennas, and a suboptimal nonlinear parallel interference cancelation scheme that significantly reduces the degradation effect of interference with implementation complexity linear in the number of transmitting antennas. The proposed receiver has a two-stage learning strategy: A linear beamforming phase using a short training sequence for learning the linear decision regions, and a nonlinear iterative scheme that makes use of the implicit form of supervision provided by a forward error-correction code (FEC) for tracking the nonlinear optimal decision boundaries. Simulations are provided as experimental evidence for the performance of the new receiver.",

author = "M. Sellathurai and S. Haykin",

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doi = "10.1109/ACSSC.1999.831851",

language = "English",

isbn = "0780357000",

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booktitle = "Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers",

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note = "33rd Asilomar Conference on Signals, Systems, and Computers 1999, ACSSC 1999 ; Conference date: 24-10-1999 Through 27-10-1999",

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AU - Haykin, S.

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N2 - In this paper, we propose an iterative beamformer for multi-Transmit, multi-receive wireless communications. The paper introduces an optimal MAP receiver with implementation complexity exponential in terms of the number of transmitting antennas, and a suboptimal nonlinear parallel interference cancelation scheme that significantly reduces the degradation effect of interference with implementation complexity linear in the number of transmitting antennas. The proposed receiver has a two-stage learning strategy: A linear beamforming phase using a short training sequence for learning the linear decision regions, and a nonlinear iterative scheme that makes use of the implicit form of supervision provided by a forward error-correction code (FEC) for tracking the nonlinear optimal decision boundaries. Simulations are provided as experimental evidence for the performance of the new receiver.

AB - In this paper, we propose an iterative beamformer for multi-Transmit, multi-receive wireless communications. The paper introduces an optimal MAP receiver with implementation complexity exponential in terms of the number of transmitting antennas, and a suboptimal nonlinear parallel interference cancelation scheme that significantly reduces the degradation effect of interference with implementation complexity linear in the number of transmitting antennas. The proposed receiver has a two-stage learning strategy: A linear beamforming phase using a short training sequence for learning the linear decision regions, and a nonlinear iterative scheme that makes use of the implicit form of supervision provided by a forward error-correction code (FEC) for tracking the nonlinear optimal decision boundaries. Simulations are provided as experimental evidence for the performance of the new receiver.

UR - https://www.scopus.com/pages/publications/0033333221

U2 - 10.1109/ACSSC.1999.831851

DO - 10.1109/ACSSC.1999.831851

M3 - Conference contribution

AN - SCOPUS:0033333221

SN - 0780357000

SP - 957

EP - 961

BT - Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers

PB - IEEE

T2 - 33rd Asilomar Conference on Signals, Systems, and Computers 1999

Y2 - 24 October 1999 through 27 October 1999

ER -

A nonlinear iterative beamforming technique for wireless communications

Abstract

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