Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading

Feng Li; Q. T. Zhang; S. H. Song

doi:10.1109/WCNC.2007.361

Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading

Feng Li
, Q. T. Zhang
, S. H. Song

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function forming a solid basis for optimizing the optimal input covariance matrix. This new derivative expression enables us to further develop an efficient iterative algorithm for determining the optimal eigenvalues. The technique is illustrated through numerical examples. © 2007 IEEE.

Original language	English
Title of host publication	2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Pages	1928-1932
DOIs	https://doi.org/10.1109/WCNC.2007.361
Publication status	Published - 2007
Event	2007 IEEE Wireless Communications and Networking Conference (WCNC 2007) - Sheraton Hong Kong Hotel, Hong Kong, China Duration: 11 Mar 2007 → 15 Mar 2007 http://wcnc2007.ieee-wcnc.org/

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)	1525-3511

Conference

Conference	2007 IEEE Wireless Communications and Networking Conference (WCNC 2007)
Place	China
City	Hong Kong
Period	11/03/07 → 15/03/07
Internet address	http://wcnc2007.ieee-wcnc.org/

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (CityU 123706).

Research Keywords

Channel capacity
Channel covariance matrix
Multiple-input-single-output (MISO) channel
Newton-Raphson method

RGC Funding Information

RGC-funded

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10.1109/WCNC.2007.361

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Cite this

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title = "Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading",

abstract = "Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function forming a solid basis for optimizing the optimal input covariance matrix. This new derivative expression enables us to further develop an efficient iterative algorithm for determining the optimal eigenvalues. The technique is illustrated through numerical examples. {\textcopyright} 2007 IEEE.",

keywords = "Channel capacity, Channel covariance matrix, Multiple-input-single-output (MISO) channel, Newton-Raphson method",

author = "Feng Li and Zhang, \{Q. T.\} and Song, \{S. H.\}",

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language = "English",

isbn = "1424406595",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

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booktitle = "2007 IEEE Wireless Communications and Networking Conference, WCNC 2007",

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Li, F, Zhang, QT & Song, SH 2007, Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading. in 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007., 4204537, IEEE Wireless Communications and Networking Conference, WCNC, pp. 1928-1932, 2007 IEEE Wireless Communications and Networking Conference (WCNC 2007), Hong Kong, China, 11/03/07. https://doi.org/10.1109/WCNC.2007.361

Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading. / Li, Feng; Zhang, Q. T.; Song, S. H.
2007 IEEE Wireless Communications and Networking Conference, WCNC 2007. 2007. p. 1928-1932 4204537 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Song, S. H.

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PY - 2007

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N2 - Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function forming a solid basis for optimizing the optimal input covariance matrix. This new derivative expression enables us to further develop an efficient iterative algorithm for determining the optimal eigenvalues. The technique is illustrated through numerical examples. © 2007 IEEE.

AB - Optimizing the input covariance matrix of a multiple-antenna transmit system with partial channel-structure feedback is an important issue to fully exploit the channel capacity. Efficient design of the optimal input covariance matrix, however, remains unavailable although its eigenvector structure was clearly revealed in a recent publication. In this paper, we obtain an explicit derivative function forming a solid basis for optimizing the optimal input covariance matrix. This new derivative expression enables us to further develop an efficient iterative algorithm for determining the optimal eigenvalues. The technique is illustrated through numerical examples. © 2007 IEEE.

KW - Channel capacity

KW - Channel covariance matrix

KW - Multiple-input-single-output (MISO) channel

KW - Newton-Raphson method

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M3 - RGC 32 - Refereed conference paper (with host publication)

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SN - 9781424406593

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BT - 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007

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Y2 - 11 March 2007 through 15 March 2007

ER -

Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading

Abstract

Publication series

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Bibliographical note

Funding

Research Keywords

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GRF: Wireless System Design in the Frawework of Channel Capacity

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Efficient optimization of input covariance matrix for MISO in correlated rayleigh fading

Abstract

Publication series

Conference

Bibliographical note

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Wireless System Design in the Frawework of Channel Capacity

Cite this