IEICE TRANSACTIONS on Communications
Unitary Precoder Design for Multi-Stream MIMO Multicasting
Summary :
In this paper, we investigate unitary precoder design for multiple-input multiple-output (MIMO) multicasting, where multiple common data streams are sent to a group of users. Assuming that zero-forcing decision feedback equalizers (ZF-DFE) are adopted at the receiver side, we can convert the multicast channel into multiple parallel subchannels. To improve the receiving quality of all data streams, we focus on maximizing the minimal signal-to-noise ratio (SNR) of all data streams. To effectively handle this non-convex optimization problem, we first consider the special case of two data streams and derive the closed-form solution of the SNR vectors for both subchannels. Based on these results, a gradient-based iterative algorithm is developed for the proposed precoder design. For the general case, a Givens rotation-based iterative algorithm is proposed, where at each iteration the original problem of unitary precoder design is transformed into a dual-stream subproblem. Hence it can be solved efficiently by the gradient-based iterative algorithm. Finally, simulation results are presented to demonstrate the outstanding performance of the proposed design.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E97-B No.11 pp.2459-2468
- Publication Date
- 2014/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E97.B.2459
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Baisheng DU
University of Science and Technology of China
Xiaodong XU
University of Science and Technology of China
Xuchu DAI
University of Science and Technology of China
Keyword
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Baisheng DU, Xiaodong XU, Xuchu DAI, "Unitary Precoder Design for Multi-Stream MIMO Multicasting" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 11, pp. 2459-2468, November 2014, doi: 10.1587/transcom.E97.B.2459.
Abstract: In this paper, we investigate unitary precoder design for multiple-input multiple-output (MIMO) multicasting, where multiple common data streams are sent to a group of users. Assuming that zero-forcing decision feedback equalizers (ZF-DFE) are adopted at the receiver side, we can convert the multicast channel into multiple parallel subchannels. To improve the receiving quality of all data streams, we focus on maximizing the minimal signal-to-noise ratio (SNR) of all data streams. To effectively handle this non-convex optimization problem, we first consider the special case of two data streams and derive the closed-form solution of the SNR vectors for both subchannels. Based on these results, a gradient-based iterative algorithm is developed for the proposed precoder design. For the general case, a Givens rotation-based iterative algorithm is proposed, where at each iteration the original problem of unitary precoder design is transformed into a dual-stream subproblem. Hence it can be solved efficiently by the gradient-based iterative algorithm. Finally, simulation results are presented to demonstrate the outstanding performance of the proposed design.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2459/_p
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@ARTICLE{e97-b_11_2459,
author={Baisheng DU, Xiaodong XU, Xuchu DAI, },
journal={IEICE TRANSACTIONS on Communications},
title={Unitary Precoder Design for Multi-Stream MIMO Multicasting},
year={2014},
volume={E97-B},
number={11},
pages={2459-2468},
abstract={In this paper, we investigate unitary precoder design for multiple-input multiple-output (MIMO) multicasting, where multiple common data streams are sent to a group of users. Assuming that zero-forcing decision feedback equalizers (ZF-DFE) are adopted at the receiver side, we can convert the multicast channel into multiple parallel subchannels. To improve the receiving quality of all data streams, we focus on maximizing the minimal signal-to-noise ratio (SNR) of all data streams. To effectively handle this non-convex optimization problem, we first consider the special case of two data streams and derive the closed-form solution of the SNR vectors for both subchannels. Based on these results, a gradient-based iterative algorithm is developed for the proposed precoder design. For the general case, a Givens rotation-based iterative algorithm is proposed, where at each iteration the original problem of unitary precoder design is transformed into a dual-stream subproblem. Hence it can be solved efficiently by the gradient-based iterative algorithm. Finally, simulation results are presented to demonstrate the outstanding performance of the proposed design.},
keywords={},
doi={10.1587/transcom.E97.B.2459},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Unitary Precoder Design for Multi-Stream MIMO Multicasting
T2 - IEICE TRANSACTIONS on Communications
SP - 2459
EP - 2468
AU - Baisheng DU
AU - Xiaodong XU
AU - Xuchu DAI
PY - 2014
DO - 10.1587/transcom.E97.B.2459
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2014
AB - In this paper, we investigate unitary precoder design for multiple-input multiple-output (MIMO) multicasting, where multiple common data streams are sent to a group of users. Assuming that zero-forcing decision feedback equalizers (ZF-DFE) are adopted at the receiver side, we can convert the multicast channel into multiple parallel subchannels. To improve the receiving quality of all data streams, we focus on maximizing the minimal signal-to-noise ratio (SNR) of all data streams. To effectively handle this non-convex optimization problem, we first consider the special case of two data streams and derive the closed-form solution of the SNR vectors for both subchannels. Based on these results, a gradient-based iterative algorithm is developed for the proposed precoder design. For the general case, a Givens rotation-based iterative algorithm is proposed, where at each iteration the original problem of unitary precoder design is transformed into a dual-stream subproblem. Hence it can be solved efficiently by the gradient-based iterative algorithm. Finally, simulation results are presented to demonstrate the outstanding performance of the proposed design.
ER -
English
