Computationally efficient robust beamforming for SINR balancing in multicell downlink with applications to large antenna array systems. Hanif, M., F., Tran, L., N., Tolli, A., & Juntti, M. IEEE Transactions on Communications, 62(6):1908-1920, Institute of Electrical and Electronics Engineers Inc., 6, 2014. Paper Website abstract bibtex We address the problem of the downlink beamformer design for signal-to-interference-plus-noise ratio balancing in a multiuser multicell environment with imperfectly estimated channels at base stations. We first present a semidefinite program (SDP)-based approximate solution to the problem. Then, as our main contribution, by exploiting some properties of the robust counterpart of the optimization problem, we arrive at a second-order cone program (SOCP)-based approximation of the balancing problem. The advantages of the proposed SOCP-based design are twofold. First, it greatly reduces the computational complexity compared to the SDP-based method. Second, it applies to a wide range of uncertainty models. As a case study, we investigate the performance of proposed formulations when the base station is equipped with a massive antenna array. Numerical experiments are carried out to confirm that the proposed robust designs achieve favorable results in scenarios of practical interest.
@article{
title = {Computationally efficient robust beamforming for SINR balancing in multicell downlink with applications to large antenna array systems},
type = {article},
year = {2014},
identifiers = {[object Object]},
keywords = {Interference channel,Massive MIMO,Multicell beamforming,Reduced complexity,SINR balancing,Very largescale antenna arrays},
pages = {1908-1920},
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abstract = {We address the problem of the downlink beamformer design for signal-to-interference-plus-noise ratio balancing in a multiuser multicell environment with imperfectly estimated channels at base stations. We first present a semidefinite program (SDP)-based approximate solution to the problem. Then, as our main contribution, by exploiting some properties of the robust counterpart of the optimization problem, we arrive at a second-order cone program (SOCP)-based approximation of the balancing problem. The advantages of the proposed SOCP-based design are twofold. First, it greatly reduces the computational complexity compared to the SDP-based method. Second, it applies to a wide range of uncertainty models. As a case study, we investigate the performance of proposed formulations when the base station is equipped with a massive antenna array. Numerical experiments are carried out to confirm that the proposed robust designs achieve favorable results in scenarios of practical interest.},
bibtype = {article},
author = {Hanif, Muhammad Fainan and Tran, Le Nam and Tolli, Antti and Juntti, Markku},
journal = {IEEE Transactions on Communications},
number = {6}
}
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