A new grouping-ML detector with low complexity for SC-FDMA systems

Sungmook Lim; Taehoon Kwon; Jemin Lee; Daesik Hong

doi:10.1109/ICC.2010.5502813

A new grouping-ML detector with low complexity for SC-FDMA systems

Sungmook Lim, Taehoon Kwon, Jemin Lee, Daesik Hong

Department of Electrical and Electronic Engineering

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

7 Citations (Scopus)

Abstract

In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

Original language	English
Title of host publication	2010 IEEE International Conference on Communications, ICC 2010
DOIs	https://doi.org/10.1109/ICC.2010.5502813
Publication status	Published - 2010
Event	2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa Duration: 2010 May 23 → 2010 May 27

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Other

Other	2010 IEEE International Conference on Communications, ICC 2010
Country/Territory	South Africa
City	Cape Town
Period	10/5/23 → 10/5/27

Bibliographical note

Funding Information:
The authors like to thank Juan-Pablo Ramirez, who conducted the listening test at the Telekom Quality and Usability Lab. in Berlin.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2010.5502813

Cite this

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title = "A new grouping-ML detector with low complexity for SC-FDMA systems",

abstract = "In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.",

author = "Sungmook Lim and Taehoon Kwon and Jemin Lee and Daesik Hong",

note = "Funding Information: The authors like to thank Juan-Pablo Ramirez, who conducted the listening test at the Telekom Quality and Usability Lab. in Berlin.; 2010 IEEE International Conference on Communications, ICC 2010 ; Conference date: 23-05-2010 Through 27-05-2010",

year = "2010",

doi = "10.1109/ICC.2010.5502813",

language = "English",

isbn = "9781424464043",

series = "IEEE International Conference on Communications",

booktitle = "2010 IEEE International Conference on Communications, ICC 2010",

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Lim, S, Kwon, T, Lee, J & Hong, D 2010, A new grouping-ML detector with low complexity for SC-FDMA systems. in 2010 IEEE International Conference on Communications, ICC 2010., 5502813, IEEE International Conference on Communications, 2010 IEEE International Conference on Communications, ICC 2010, Cape Town, South Africa, 10/5/23. https://doi.org/10.1109/ICC.2010.5502813

TY - GEN

T1 - A new grouping-ML detector with low complexity for SC-FDMA systems

AU - Lim, Sungmook

AU - Kwon, Taehoon

AU - Lee, Jemin

AU - Hong, Daesik

N1 - Funding Information: The authors like to thank Juan-Pablo Ramirez, who conducted the listening test at the Telekom Quality and Usability Lab. in Berlin.

PY - 2010

Y1 - 2010

N2 - In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

AB - In this paper, we propose a new grouping-maximum likelihood detector (GMLD) for single carrier-frequency division multiple access (SC-FDMA) systems. The proposed detector performs local maximum likelihood (ML) detection by grouping the received symbol block based on orthogonal projection to reduce the complexity of ML detector. As a result, the proposed detector offers lower complexity than the ML detector, while its performance approaches that of the ML detector. In addition, the efficient group size to guarantee the lowest complexity and the BER performance close to the ML is also presented.

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U2 - 10.1109/ICC.2010.5502813

DO - 10.1109/ICC.2010.5502813

M3 - Conference contribution

AN - SCOPUS:77955345867

SN - 9781424464043

T3 - IEEE International Conference on Communications

BT - 2010 IEEE International Conference on Communications, ICC 2010

T2 - 2010 IEEE International Conference on Communications, ICC 2010

Y2 - 23 May 2010 through 27 May 2010

ER -

A new grouping-ML detector with low complexity for SC-FDMA systems

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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