Performance improvement of opportunistic beamforming with conservative link adaptation in the presence of channel estimation error

Yohan Kim; Dong Ku Kim

doi:10.1109/MILCOM.2006.302025

Performance improvement of opportunistic beamforming with conservative link adaptation in the presence of channel estimation error

Yohan Kim, Dong Ku Kim

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

Opportunistic Beamforming (OBF) offers a way to provide the multiuser diversity in slow fading channel by using randomly generated beam weights, leading to the substantial reduction of the required feedback from users. In spite of the advantage of the reduced feedback, the imperfect channel estimation might influence the quality of the estimated SNR and channel scheduler so bad that the selected AMC level would be higher than the achievable rate of the actual channel, which is called outage. In this paper, we propose a conservative link adaptation, where the estimated SNR is scaled down by a conservative factor which minimizes the variance of the difference between the actual channel SNR and the resultant SNR. Simulation results show that the introduction of conservative factor shows two-fold performance improvement in the presence of channel estmiation error.

Original language	English
Title of host publication	Military Communications Conference 2006, MILCOM 2006
DOIs	https://doi.org/10.1109/MILCOM.2006.302025
Publication status	Published - 2007 Oct 15
Event	Military Communications Conference 2006, MILCOM 2006 - Washington, D.C., United States Duration: 2006 Oct 23 → 2006 Oct 25

Other

Other	Military Communications Conference 2006, MILCOM 2006
Country/Territory	United States
City	Washington, D.C.
Period	06/10/23 → 06/10/25

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/MILCOM.2006.302025

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title = "Performance improvement of opportunistic beamforming with conservative link adaptation in the presence of channel estimation error",

abstract = "Opportunistic Beamforming (OBF) offers a way to provide the multiuser diversity in slow fading channel by using randomly generated beam weights, leading to the substantial reduction of the required feedback from users. In spite of the advantage of the reduced feedback, the imperfect channel estimation might influence the quality of the estimated SNR and channel scheduler so bad that the selected AMC level would be higher than the achievable rate of the actual channel, which is called outage. In this paper, we propose a conservative link adaptation, where the estimated SNR is scaled down by a conservative factor which minimizes the variance of the difference between the actual channel SNR and the resultant SNR. Simulation results show that the introduction of conservative factor shows two-fold performance improvement in the presence of channel estmiation error.",

author = "Yohan Kim and Kim, {Dong Ku}",

year = "2007",

month = oct,

day = "15",

doi = "10.1109/MILCOM.2006.302025",

language = "English",

isbn = "1424406188",

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note = "Military Communications Conference 2006, MILCOM 2006 ; Conference date: 23-10-2006 Through 25-10-2006",

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AU - Kim, Yohan

AU - Kim, Dong Ku

PY - 2007/10/15

Y1 - 2007/10/15

N2 - Opportunistic Beamforming (OBF) offers a way to provide the multiuser diversity in slow fading channel by using randomly generated beam weights, leading to the substantial reduction of the required feedback from users. In spite of the advantage of the reduced feedback, the imperfect channel estimation might influence the quality of the estimated SNR and channel scheduler so bad that the selected AMC level would be higher than the achievable rate of the actual channel, which is called outage. In this paper, we propose a conservative link adaptation, where the estimated SNR is scaled down by a conservative factor which minimizes the variance of the difference between the actual channel SNR and the resultant SNR. Simulation results show that the introduction of conservative factor shows two-fold performance improvement in the presence of channel estmiation error.

AB - Opportunistic Beamforming (OBF) offers a way to provide the multiuser diversity in slow fading channel by using randomly generated beam weights, leading to the substantial reduction of the required feedback from users. In spite of the advantage of the reduced feedback, the imperfect channel estimation might influence the quality of the estimated SNR and channel scheduler so bad that the selected AMC level would be higher than the achievable rate of the actual channel, which is called outage. In this paper, we propose a conservative link adaptation, where the estimated SNR is scaled down by a conservative factor which minimizes the variance of the difference between the actual channel SNR and the resultant SNR. Simulation results show that the introduction of conservative factor shows two-fold performance improvement in the presence of channel estmiation error.

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DO - 10.1109/MILCOM.2006.302025

M3 - Conference contribution

SN - 1424406188

SN - 9781424406180

BT - Military Communications Conference 2006, MILCOM 2006

T2 - Military Communications Conference 2006, MILCOM 2006

Y2 - 23 October 2006 through 25 October 2006

ER -

Performance improvement of opportunistic beamforming with conservative link adaptation in the presence of channel estimation error

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