IEICE TRANSACTIONS on Fundamentals
Robust Beamforming for Joint Transceiver Design in K-User Interference Channel over Energy Efficient 5G
Summary :
Considering worse-case channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a K-user multiple-input-single-output (MISO) interference channel. Our objective is to maximize the worse-case sum EE under individual transmit power constraints. In general, this fractional programming problem is NP-hard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with max-min and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the min-max inequality. To make it tractable, we transform the problem of fractional form into a subtractive form by using the Dinkelbach transformation, and then propose an iterative algorithm using Lagrangian duality, which leads to the locally optimal solution. Simulation results demonstrate that our proposed robust EE beamforming scheme outperforms the conventional algorithm.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.8 pp.1860-1864
- Publication Date
- 2015/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1860
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Shidang LI
Southeast University
Chunguo LI
Southeast University
Yongming HUANG
Southeast University
Dongming WANG
Southeast University
Luxi YANG
Southeast University
Keyword
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Shidang LI, Chunguo LI, Yongming HUANG, Dongming WANG, Luxi YANG, "Robust Beamforming for Joint Transceiver Design in K-User Interference Channel over Energy Efficient 5G" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 8, pp. 1860-1864, August 2015, doi: 10.1587/transfun.E98.A.1860.
Abstract: Considering worse-case channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a K-user multiple-input-single-output (MISO) interference channel. Our objective is to maximize the worse-case sum EE under individual transmit power constraints. In general, this fractional programming problem is NP-hard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with max-min and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the min-max inequality. To make it tractable, we transform the problem of fractional form into a subtractive form by using the Dinkelbach transformation, and then propose an iterative algorithm using Lagrangian duality, which leads to the locally optimal solution. Simulation results demonstrate that our proposed robust EE beamforming scheme outperforms the conventional algorithm.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1860/_p
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@ARTICLE{e98-a_8_1860,
author={Shidang LI, Chunguo LI, Yongming HUANG, Dongming WANG, Luxi YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Beamforming for Joint Transceiver Design in K-User Interference Channel over Energy Efficient 5G},
year={2015},
volume={E98-A},
number={8},
pages={1860-1864},
abstract={Considering worse-case channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a K-user multiple-input-single-output (MISO) interference channel. Our objective is to maximize the worse-case sum EE under individual transmit power constraints. In general, this fractional programming problem is NP-hard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with max-min and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the min-max inequality. To make it tractable, we transform the problem of fractional form into a subtractive form by using the Dinkelbach transformation, and then propose an iterative algorithm using Lagrangian duality, which leads to the locally optimal solution. Simulation results demonstrate that our proposed robust EE beamforming scheme outperforms the conventional algorithm.},
keywords={},
doi={10.1587/transfun.E98.A.1860},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Robust Beamforming for Joint Transceiver Design in K-User Interference Channel over Energy Efficient 5G
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1860
EP - 1864
AU - Shidang LI
AU - Chunguo LI
AU - Yongming HUANG
AU - Dongming WANG
AU - Luxi YANG
PY - 2015
DO - 10.1587/transfun.E98.A.1860
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2015
AB - Considering worse-case channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a K-user multiple-input-single-output (MISO) interference channel. Our objective is to maximize the worse-case sum EE under individual transmit power constraints. In general, this fractional programming problem is NP-hard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with max-min and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the min-max inequality. To make it tractable, we transform the problem of fractional form into a subtractive form by using the Dinkelbach transformation, and then propose an iterative algorithm using Lagrangian duality, which leads to the locally optimal solution. Simulation results demonstrate that our proposed robust EE beamforming scheme outperforms the conventional algorithm.
ER -
English
