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Large-Scale Fading Precoding for Spatially Correlated Rician Fading with Phase Shifts

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Document pages: 30 pages

Abstract: We consider large-scale fading precoding (LSFP), which is a two-layerprecoding scheme in the downlink of multi-cell massive MIMO (multiple-inputmultiple-output) systems to suppress inter-cell interference. We obtain theclosed-form spectral efficiency (SE) with LSFP at the central networkcontroller and maximum ratio precoding at the base stations (BSs) using thelinear minimum mean-squared error or least squares channel estimators. The LSFPweights are designed based on the long-term channel statistics and twoimportant performance metrics are optimized under the per-BS transmit powerconstraints. These metrics are sum SE and proportional fairness, where theresulting optimization problems are non-convex. Two efficient algorithms aredeveloped to solve these problems by using the weighted minimum mean-squarederror and the alternating direction method of multipliers methods. Moreover,two partial LSFP schemes are proposed to reduce the fronthaul signalingrequirements. Simulations quantify the performance improvement of LSFP overstandard single-layer precoding schemes and identify the specific advantage ofeach optimization problem.

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