SLM and PTS peak-power reduction of OFDM signals without side information

A. D.S. Jayalath; C. Tellambura

doi:10.1109/TWC.2005.853916

SLM and PTS peak-power reduction of OFDM signals without side information

A. D.S. Jayalath^*, C. Tellambura

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

210 Citations (Scopus)

Abstract

Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests bow SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.

Original language	English
Pages (from-to)	2006-2013
Number of pages	8
Journal	IEEE Transactions on Wireless Communications
Volume	4
Issue number	5
DOIs	https://doi.org/10.1109/TWC.2005.853916
Publication status	Published - Sept 2005

Access to Document

10.1109/TWC.2005.853916

Cite this

@article{8caa1101662a4835b9dccfb8f71aa21e,

title = "SLM and PTS peak-power reduction of OFDM signals without side information",

abstract = "Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests bow SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.",

keywords = "Orthogonal frequency-division multiplexing (OFDM), Partial transmit sequences, Peak-to-average power ratio, Selected mapping",

author = "Jayalath, {A. D.S.} and C. Tellambura",

year = "2005",

month = sep,

doi = "10.1109/TWC.2005.853916",

language = "English",

volume = "4",

pages = "2006--2013",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

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

number = "5",

}

TY - JOUR

T1 - SLM and PTS peak-power reduction of OFDM signals without side information

AU - Jayalath, A. D.S.

AU - Tellambura, C.

PY - 2005/9

Y1 - 2005/9

N2 - Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests bow SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.

AB - Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests bow SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.

KW - Orthogonal frequency-division multiplexing (OFDM)

KW - Partial transmit sequences

KW - Peak-to-average power ratio

KW - Selected mapping

UR - http://www.scopus.com/inward/record.url?scp=28444494067&partnerID=8YFLogxK

U2 - 10.1109/TWC.2005.853916

DO - 10.1109/TWC.2005.853916

M3 - Article

SN - 1536-1276

VL - 4

SP - 2006

EP - 2013

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 5

ER -

SLM and PTS peak-power reduction of OFDM signals without side information

Abstract

Access to Document

Other files and links

Fingerprint

Cite this