In this paper, a distributed cooperative multicell beamforming algorithm is proposed, and a detail analysis and solving method for instantaneous and statistical channel state information (CSI) are presented. Firstly, an improved distributed iterative beamforming algorithm is proposed for the multiple-input single-output interference channel (MISO IC) scenario which chooses virtual signal-to-interference-and-noise (SINR) as decision criterion to initialize and then iteratively solves the constrained optimization problem of maximizing the virtual SINR for a given level of generated interference to other users. Then, the algorithm is generalized to the multicell date sharing scenario with a heuristics power allocation scheme based on a viewpoint of the layered channel. Finally, the performance is illustrated through numerical simulations.
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Jiamin LI, Dongming WANG, Pengcheng ZHU, Lan TANG, Xiaohu YOU, "Distributed Cooperative Multicell Beamforming Based on a Viewpoint of Layered Channel" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 12, pp. 3225-3231, December 2011, doi: 10.1587/transcom.E94.B.3225.
Abstract: In this paper, a distributed cooperative multicell beamforming algorithm is proposed, and a detail analysis and solving method for instantaneous and statistical channel state information (CSI) are presented. Firstly, an improved distributed iterative beamforming algorithm is proposed for the multiple-input single-output interference channel (MISO IC) scenario which chooses virtual signal-to-interference-and-noise (SINR) as decision criterion to initialize and then iteratively solves the constrained optimization problem of maximizing the virtual SINR for a given level of generated interference to other users. Then, the algorithm is generalized to the multicell date sharing scenario with a heuristics power allocation scheme based on a viewpoint of the layered channel. Finally, the performance is illustrated through numerical simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.3225/_p
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@ARTICLE{e94-b_12_3225,
author={Jiamin LI, Dongming WANG, Pengcheng ZHU, Lan TANG, Xiaohu YOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Distributed Cooperative Multicell Beamforming Based on a Viewpoint of Layered Channel},
year={2011},
volume={E94-B},
number={12},
pages={3225-3231},
abstract={In this paper, a distributed cooperative multicell beamforming algorithm is proposed, and a detail analysis and solving method for instantaneous and statistical channel state information (CSI) are presented. Firstly, an improved distributed iterative beamforming algorithm is proposed for the multiple-input single-output interference channel (MISO IC) scenario which chooses virtual signal-to-interference-and-noise (SINR) as decision criterion to initialize and then iteratively solves the constrained optimization problem of maximizing the virtual SINR for a given level of generated interference to other users. Then, the algorithm is generalized to the multicell date sharing scenario with a heuristics power allocation scheme based on a viewpoint of the layered channel. Finally, the performance is illustrated through numerical simulations.},
keywords={},
doi={10.1587/transcom.E94.B.3225},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Distributed Cooperative Multicell Beamforming Based on a Viewpoint of Layered Channel
T2 - IEICE TRANSACTIONS on Communications
SP - 3225
EP - 3231
AU - Jiamin LI
AU - Dongming WANG
AU - Pengcheng ZHU
AU - Lan TANG
AU - Xiaohu YOU
PY - 2011
DO - 10.1587/transcom.E94.B.3225
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2011
AB - In this paper, a distributed cooperative multicell beamforming algorithm is proposed, and a detail analysis and solving method for instantaneous and statistical channel state information (CSI) are presented. Firstly, an improved distributed iterative beamforming algorithm is proposed for the multiple-input single-output interference channel (MISO IC) scenario which chooses virtual signal-to-interference-and-noise (SINR) as decision criterion to initialize and then iteratively solves the constrained optimization problem of maximizing the virtual SINR for a given level of generated interference to other users. Then, the algorithm is generalized to the multicell date sharing scenario with a heuristics power allocation scheme based on a viewpoint of the layered channel. Finally, the performance is illustrated through numerical simulations.
ER -