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arXiv · 1304.3998

Computationally Efficient Robust Beamforming for SINR Balancing in Multicell Downlink

Muhammad Fainan Hanif·Le-Nam Tran·Antti Tölli·Markku Juntti
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Abstract

We address the problem of downlink beamformer design for signal-to-interference-plus-noise ratio (SINR) balancing in a multiuser multicell environment with imperfectly estimated channels at base stations (BSs). 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.

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Muhammad Fainan Hanif, Le-Nam Tran, Antti Tölli, Markku Juntti. 2013-04-15. Computationally Efficient Robust Beamforming for SINR Balancing in Multicell Downlink. https://doi.org/10.1109/tcomm.2014.2320913

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