Antenna group selection based user scheduling for massive MIMO systems

Byungju Lee; Lua Ngo; Byonghyo Shim

doi:10.1109/GLOCOM.2014.7037316

Antenna group selection based user scheduling for massive MIMO systems

Byungju Lee, Lua Ngo, Byonghyo Shim

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

17 Citations (Scopus)

Abstract

Accurate transmit-side channel state information (CSI) is essential for achieving optimal performance of large-scale multiple-input multiple-output (MIMO) systems. However, due to high dimensionality of the massive MIMO systems, large overhead of the uplink CSI feedback is a big concern for frequency division duplexing (FDD) systems. In this paper, we propose antenna group scheduling (AGS) algorithm that combines antenna selection and user scheduling for pursuing further reduction in feedback overhead. The AGS method selects the antenna group with the maximum channel gain to reduce the dimension of channel vector and schedules users in the group maximizing the sum rate. Simulation results demonstrate that the proposed technique achieves significant feedback overhead reduction over the conventional beamforming techniques (33%∼50%) under the same target sum rate requirement.

Original language	English
Title of host publication	2014 IEEE Global Communications Conference, GLOBECOM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3302-3307
Number of pages	6
ISBN (Print)	9781479935116
DOIs	https://doi.org/10.1109/GLOCOM.2014.7037316
Publication status	Published - 2014 Feb 9
Externally published	Yes
Event	2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States Duration: 2014 Dec 8 → 2014 Dec 12

Other

Other	2014 IEEE Global Communications Conference, GLOBECOM 2014
Country/Territory	United States
City	Austin
Period	14/12/8 → 14/12/12

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Networks and Communications
Communication

Access to Document

10.1109/GLOCOM.2014.7037316

Cite this

Lee, B, Ngo, L & Shim, B 2014, Antenna group selection based user scheduling for massive MIMO systems. in 2014 IEEE Global Communications Conference, GLOBECOM 2014., 7037316, Institute of Electrical and Electronics Engineers Inc., pp. 3302-3307, 2014 IEEE Global Communications Conference, GLOBECOM 2014, Austin, United States, 14/12/8. https://doi.org/10.1109/GLOCOM.2014.7037316

@inproceedings{d8e9421822f34373a2885840956d3847,

title = "Antenna group selection based user scheduling for massive MIMO systems",

abstract = "Accurate transmit-side channel state information (CSI) is essential for achieving optimal performance of large-scale multiple-input multiple-output (MIMO) systems. However, due to high dimensionality of the massive MIMO systems, large overhead of the uplink CSI feedback is a big concern for frequency division duplexing (FDD) systems. In this paper, we propose antenna group scheduling (AGS) algorithm that combines antenna selection and user scheduling for pursuing further reduction in feedback overhead. The AGS method selects the antenna group with the maximum channel gain to reduce the dimension of channel vector and schedules users in the group maximizing the sum rate. Simulation results demonstrate that the proposed technique achieves significant feedback overhead reduction over the conventional beamforming techniques (33%∼50%) under the same target sum rate requirement.",

author = "Byungju Lee and Lua Ngo and Byonghyo Shim",

year = "2014",

month = feb,

day = "9",

doi = "10.1109/GLOCOM.2014.7037316",

language = "English",

isbn = "9781479935116",

pages = "3302--3307",

booktitle = "2014 IEEE Global Communications Conference, GLOBECOM 2014",

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

note = "2014 IEEE Global Communications Conference, GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",

}

TY - GEN

T1 - Antenna group selection based user scheduling for massive MIMO systems

AU - Lee, Byungju

AU - Ngo, Lua

AU - Shim, Byonghyo

PY - 2014/2/9

Y1 - 2014/2/9

N2 - Accurate transmit-side channel state information (CSI) is essential for achieving optimal performance of large-scale multiple-input multiple-output (MIMO) systems. However, due to high dimensionality of the massive MIMO systems, large overhead of the uplink CSI feedback is a big concern for frequency division duplexing (FDD) systems. In this paper, we propose antenna group scheduling (AGS) algorithm that combines antenna selection and user scheduling for pursuing further reduction in feedback overhead. The AGS method selects the antenna group with the maximum channel gain to reduce the dimension of channel vector and schedules users in the group maximizing the sum rate. Simulation results demonstrate that the proposed technique achieves significant feedback overhead reduction over the conventional beamforming techniques (33%∼50%) under the same target sum rate requirement.

AB - Accurate transmit-side channel state information (CSI) is essential for achieving optimal performance of large-scale multiple-input multiple-output (MIMO) systems. However, due to high dimensionality of the massive MIMO systems, large overhead of the uplink CSI feedback is a big concern for frequency division duplexing (FDD) systems. In this paper, we propose antenna group scheduling (AGS) algorithm that combines antenna selection and user scheduling for pursuing further reduction in feedback overhead. The AGS method selects the antenna group with the maximum channel gain to reduce the dimension of channel vector and schedules users in the group maximizing the sum rate. Simulation results demonstrate that the proposed technique achieves significant feedback overhead reduction over the conventional beamforming techniques (33%∼50%) under the same target sum rate requirement.

UR - http://www.scopus.com/inward/record.url?scp=84949923555&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949923555&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2014.7037316

DO - 10.1109/GLOCOM.2014.7037316

M3 - Conference contribution

AN - SCOPUS:84949923555

SN - 9781479935116

SP - 3302

EP - 3307

BT - 2014 IEEE Global Communications Conference, GLOBECOM 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE Global Communications Conference, GLOBECOM 2014

Y2 - 8 December 2014 through 12 December 2014

ER -

Antenna group selection based user scheduling for massive MIMO systems

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this