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Optimizing Beams and Bits: A Novel Approach for Massive MIMO\n Base-Station Design

2018/10/17 by Narayan Prasad, Prasad, Narayan, Xiao-Feng Qi +3
Engineering · #Advanced MIMO Systems Optimization #Analog and Mixed-Signal Circuit Design #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Radio Frequency Integrated Circuit Design #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1810.07522

openalex publication_date 2018/10/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We consider the problem of jointly optimizing ADC bit resolution and analog\nbeamforming over a frequency-selective massive MIMO uplink. We build upon a\npopular model to incorporate the impact of low bit resolution ADCs, that\nhitherto has mostly been employed over flat-fading systems. We adopt weighted\nsum rate (WSR) as our objective and show that WSR maximization under finite\nbuffer limits and important practical constraints on choices of beams and ADC\nbit resolutions can equivalently be posed as constrained submodular set\nfunction maximization. This enables us to design a constant-factor\napproximation algorithm. Upon incorporating further enhancements we obtain an\nefficient algorithm that significantly outperforms state-of-the-art ones.\n

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