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Robust Beamforming for Joint Transceiver Design in KUser Interference Channel over Energy Efficient 5G
Shidang LI Chunguo LI Yongming HUANG Dongming WANG Luxi YANG
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E98A
No.8
pp.18601864 Publication Date: 2015/08/01 Online ISSN: 17451337
DOI: 10.1587/transfun.E98.A.1860 Type of Manuscript: LETTER Category: Communication Theory and Signals Keyword: energy efficient, interference channel, fractional programming, Dinkelbach transformation,
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Summary:
Considering worsecase channel uncertainties, we investigate the robust energy efficient (EE) beamforming design problem in a Kuser multipleinputsingleoutput (MISO) interference channel. Our objective is to maximize the worsecase sum EE under individual transmit power constraints. In general, this fractional programming problem is NPhard for the optimal solution. To obtain an insight into the problem, we first transform the original problem into its lower bound problem with maxmin and fractional form by exploiting the relationship between the user rate and the minimum mean square error (MMSE) and using the minmax 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.

