A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector

Jihoon Kim; Sung Hyun Moon; Chang Kyung Sung; Inkyu Lee

doi:10.1109/icc.2011.5962466

A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector

Jihoon Kim, Sung Hyun Moon, Chang Kyung Sung, Inkyu Lee

School of Electrical Engineering

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

4 Citations (Scopus)

Abstract

In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.

Original language	English
Title of host publication	2011 IEEE International Conference on Communications, ICC 2011
DOIs	https://doi.org/10.1109/icc.2011.5962466
Publication status	Published - 2011
Event	2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan Duration: 2011 Jun 5 → 2011 Jun 9

Publication series

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

Other

Other	2011 IEEE International Conference on Communications, ICC 2011
Country/Territory	Japan
City	Kyoto
Period	11/6/5 → 11/6/9

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/icc.2011.5962466

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Kim, J, Moon, SH, Sung, CK & Lee, I 2011, A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector. in 2011 IEEE International Conference on Communications, ICC 2011., 5962466, IEEE International Conference on Communications, 2011 IEEE International Conference on Communications, ICC 2011, Kyoto, Japan, 11/6/5. https://doi.org/10.1109/icc.2011.5962466

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title = "A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector",

abstract = "In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.",

author = "Jihoon Kim and Moon, {Sung Hyun} and Sung, {Chang Kyung} and Inkyu Lee",

year = "2011",

doi = "10.1109/icc.2011.5962466",

language = "English",

isbn = "9781612842332",

series = "IEEE International Conference on Communications",

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note = "2011 IEEE International Conference on Communications, ICC 2011 ; Conference date: 05-06-2011 Through 09-06-2011",

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AU - Kim, Jihoon

AU - Moon, Sung Hyun

AU - Sung, Chang Kyung

AU - Lee, Inkyu

PY - 2011

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N2 - In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.

AB - In order to employ adaptive modulation and coding, it is important to determine the post-detected signal-to-noise ratio (SNR) of the system. In this paper, we propose a new method to predict the link performance for multiple-input multiple-output (MIMO) systems with maximum likelihood detector (MLD) which adopt a single channel encoder. By using the relation between the upper and the lower bound systems of the MIMO system with MLD and defining the dynamic SNR penalty, we show that it is possible to represent the link performance of MIMO systems with MLD as a single scalar value with high accuracy. By adopting the proposed method to adaptive modulation and coding systems, we confirm the efficiency of the proposed method for frequency selective channels through simulations.

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M3 - Conference contribution

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T3 - IEEE International Conference on Communications

BT - 2011 IEEE International Conference on Communications, ICC 2011

T2 - 2011 IEEE International Conference on Communications, ICC 2011

Y2 - 5 June 2011 through 9 June 2011

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A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector

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