IEICE TRANSACTIONS on Communications
Multicell Distributed Beamforming Based on Gradient Iteration and Local CSIs
Summary :
In this paper, the multicell distributed beamforming (MDBF) design problem of suppressing intra-cell interference (InCI) and inter-cell interference (ICI) is studied. To start with, in order to decrease the InCI and ICI caused by a user, we propose a gradient-iteration altruistic algorithm to derive the beamforming vectors. The convergence of the proposed iterative algorithm is proved. Second, a metric function is established to restrict the ICI and maximize cell rate. This function depends on only local channel state information (CSI) and does not need additional CSIs. Moreover, an MDBF algorithm with the metric function is proposed. This proposed algorithm utilizes gradient iteration to maximize the metric function to improve sum rate of the cell. Finally, simulation results demonstrate that the proposed algorithm can achieve higher cell rates while offering more advantages to suppress InCI and ICI than the traditional ones.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E98-B No.6 pp.1058-1064
- Publication Date
- 2015/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E98.B.1058
- Type of Manuscript
- PAPER
- Category
- Antennas and Propagation
Authors
Zijia HUANG
Beijing University of Posts and Telecommunications
Xiaoxiang WANG
Beijing University of Posts and Telecommunications
Keyword
Latest Issue
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Zijia HUANG, Xiaoxiang WANG, "Multicell Distributed Beamforming Based on Gradient Iteration and Local CSIs" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 6, pp. 1058-1064, June 2015, doi: 10.1587/transcom.E98.B.1058.
Abstract: In this paper, the multicell distributed beamforming (MDBF) design problem of suppressing intra-cell interference (InCI) and inter-cell interference (ICI) is studied. To start with, in order to decrease the InCI and ICI caused by a user, we propose a gradient-iteration altruistic algorithm to derive the beamforming vectors. The convergence of the proposed iterative algorithm is proved. Second, a metric function is established to restrict the ICI and maximize cell rate. This function depends on only local channel state information (CSI) and does not need additional CSIs. Moreover, an MDBF algorithm with the metric function is proposed. This proposed algorithm utilizes gradient iteration to maximize the metric function to improve sum rate of the cell. Finally, simulation results demonstrate that the proposed algorithm can achieve higher cell rates while offering more advantages to suppress InCI and ICI than the traditional ones.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1058/_p
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@ARTICLE{e98-b_6_1058,
author={Zijia HUANG, Xiaoxiang WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Multicell Distributed Beamforming Based on Gradient Iteration and Local CSIs},
year={2015},
volume={E98-B},
number={6},
pages={1058-1064},
abstract={In this paper, the multicell distributed beamforming (MDBF) design problem of suppressing intra-cell interference (InCI) and inter-cell interference (ICI) is studied. To start with, in order to decrease the InCI and ICI caused by a user, we propose a gradient-iteration altruistic algorithm to derive the beamforming vectors. The convergence of the proposed iterative algorithm is proved. Second, a metric function is established to restrict the ICI and maximize cell rate. This function depends on only local channel state information (CSI) and does not need additional CSIs. Moreover, an MDBF algorithm with the metric function is proposed. This proposed algorithm utilizes gradient iteration to maximize the metric function to improve sum rate of the cell. Finally, simulation results demonstrate that the proposed algorithm can achieve higher cell rates while offering more advantages to suppress InCI and ICI than the traditional ones.},
keywords={},
doi={10.1587/transcom.E98.B.1058},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Multicell Distributed Beamforming Based on Gradient Iteration and Local CSIs
T2 - IEICE TRANSACTIONS on Communications
SP - 1058
EP - 1064
AU - Zijia HUANG
AU - Xiaoxiang WANG
PY - 2015
DO - 10.1587/transcom.E98.B.1058
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2015
AB - In this paper, the multicell distributed beamforming (MDBF) design problem of suppressing intra-cell interference (InCI) and inter-cell interference (ICI) is studied. To start with, in order to decrease the InCI and ICI caused by a user, we propose a gradient-iteration altruistic algorithm to derive the beamforming vectors. The convergence of the proposed iterative algorithm is proved. Second, a metric function is established to restrict the ICI and maximize cell rate. This function depends on only local channel state information (CSI) and does not need additional CSIs. Moreover, an MDBF algorithm with the metric function is proposed. This proposed algorithm utilizes gradient iteration to maximize the metric function to improve sum rate of the cell. Finally, simulation results demonstrate that the proposed algorithm can achieve higher cell rates while offering more advantages to suppress InCI and ICI than the traditional ones.
ER -
English
