Coordinated beamforming for multiuser MIMO systems with limited feedforward

Chan Byoung Chae; David Mazzarese; Robert W. Heath

doi:10.1109/ACSSC.2006.355010

Coordinated beamforming for multiuser MIMO systems with limited feedforward

Chan Byoung Chae, David Mazzarese, Robert W. Heath

School of Integrated Technology

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

19 Citations (Scopus)

Abstract

Jointly optimized linear transmit beamforming and receive combining is a low complexity approach for communication in the multiuser MIMO (multiple input multiple output) broadcast channel. This paper proposes an iterative algorithm for jointly designing the beamforming and combining vectors, which enforces a zero interference requirement after combining. Since the optimization is performed at the base station with channel state information for all the users, the receive beamformers are quantized at the basestation and sent to the users via a low-rate feedforward control channel. Rate bounds are provided to estimate the impact of quantization loss on the achievable rate in Rayleigh channels is performed. Simulations show that the proposed approach using Grassmannian codebooks approaches the sum capacity of the MIMO broadcast channel.

Original language	English
Title of host publication	Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages	1511-1515
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2006.355010
Publication status	Published - 2006 Dec 1
Event	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States Duration: 2006 Oct 29 → 2006 Nov 1

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country	United States
City	Pacific Grove, CA
Period	06/10/29 → 06/11/1

Fingerprint

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Cite this

Chae, C. B., Mazzarese, D., & Heath, R. W. (2006). Coordinated beamforming for multiuser MIMO systems with limited feedforward. In Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06 (pp. 1511-1515). [4176820] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2006.355010

@inproceedings{8a4bacf8fbea429e948b44319f4e1b1c,

title = "Coordinated beamforming for multiuser MIMO systems with limited feedforward",

abstract = "Jointly optimized linear transmit beamforming and receive combining is a low complexity approach for communication in the multiuser MIMO (multiple input multiple output) broadcast channel. This paper proposes an iterative algorithm for jointly designing the beamforming and combining vectors, which enforces a zero interference requirement after combining. Since the optimization is performed at the base station with channel state information for all the users, the receive beamformers are quantized at the basestation and sent to the users via a low-rate feedforward control channel. Rate bounds are provided to estimate the impact of quantization loss on the achievable rate in Rayleigh channels is performed. Simulations show that the proposed approach using Grassmannian codebooks approaches the sum capacity of the MIMO broadcast channel.",

author = "Chae, {Chan Byoung} and David Mazzarese and Heath, {Robert W.}",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/ACSSC.2006.355010",

language = "English",

isbn = "1424407850",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

pages = "1511--1515",

booktitle = "Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06",

note = "40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 ; Conference date: 29-10-2006 Through 01-11-2006",

}

Chae, CB, Mazzarese, D & Heath, RW 2006, Coordinated beamforming for multiuser MIMO systems with limited feedforward. in Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06., 4176820, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1511-1515, 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06, Pacific Grove, CA, United States, 06/10/29. https://doi.org/10.1109/ACSSC.2006.355010

Coordinated beamforming for multiuser MIMO systems with limited feedforward. / Chae, Chan Byoung; Mazzarese, David; Heath, Robert W.

Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06. 2006. p. 1511-1515 4176820 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

TY - GEN

T1 - Coordinated beamforming for multiuser MIMO systems with limited feedforward

AU - Chae, Chan Byoung

AU - Mazzarese, David

AU - Heath, Robert W.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Jointly optimized linear transmit beamforming and receive combining is a low complexity approach for communication in the multiuser MIMO (multiple input multiple output) broadcast channel. This paper proposes an iterative algorithm for jointly designing the beamforming and combining vectors, which enforces a zero interference requirement after combining. Since the optimization is performed at the base station with channel state information for all the users, the receive beamformers are quantized at the basestation and sent to the users via a low-rate feedforward control channel. Rate bounds are provided to estimate the impact of quantization loss on the achievable rate in Rayleigh channels is performed. Simulations show that the proposed approach using Grassmannian codebooks approaches the sum capacity of the MIMO broadcast channel.

AB - Jointly optimized linear transmit beamforming and receive combining is a low complexity approach for communication in the multiuser MIMO (multiple input multiple output) broadcast channel. This paper proposes an iterative algorithm for jointly designing the beamforming and combining vectors, which enforces a zero interference requirement after combining. Since the optimization is performed at the base station with channel state information for all the users, the receive beamformers are quantized at the basestation and sent to the users via a low-rate feedforward control channel. Rate bounds are provided to estimate the impact of quantization loss on the achievable rate in Rayleigh channels is performed. Simulations show that the proposed approach using Grassmannian codebooks approaches the sum capacity of the MIMO broadcast channel.

UR - http://www.scopus.com/inward/record.url?scp=44349131273&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=44349131273&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2006.355010

DO - 10.1109/ACSSC.2006.355010

M3 - Conference contribution

AN - SCOPUS:44349131273

SN - 1424407850

SN - 9781424407859

T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers

SP - 1511

EP - 1515

BT - Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06

T2 - 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06

Y2 - 29 October 2006 through 1 November 2006

ER -

Access to Document

10.1109/ACSSC.2006.355010