Hardware-Aware Pilot Decontamination Precoding for Multi-cell mMIMO Systems With Rician Fading
Harshit Kesarwani, Dheeraj Naidu Amudala, Venkatesh Tentu, Rohit, Budhiraja

TL;DR
This paper proposes a hardware-aware precoding scheme for multi-cell mMIMO systems with Rician fading, considering hardware impairments and variable ADC/DAC resolutions to optimize spectral efficiency.
Contribution
It introduces a distortion-aware MMSE precoder combined with two-layer LSFP for hardware-impaired mMIMO systems, analyzing its performance with different precoding strategies.
Findings
DA-MMSE precoder improves spectral efficiency in hardware-impaired systems.
Two-layer LSFP offers significant performance gains over single-layer precoding.
Adaptive ADC/DAC resolution variation enhances system flexibility and efficiency.
Abstract
We consider a hardware-impaired multi-cell Rician faded massive multi-input multi-output (mMIMO) system with two-layer pilot decontamination precoding, also known as large-scale fading precoding (LSFP). Each BS is equipped with a flexible dynamic analog-to-digital converter (ADC)/digital-to-analog converter (DAC) architecture and the user equipments (UEs) have low-resolution ADCs. Further, both BS and UEs have hardwareimpaired radio frequency chains. The dynamic ADC/DAC architecture allows us to vary the resolution of ADC/DAC connected to each BS antenna, and suitably choose them to maximize the SE. We propose a distortion-aware minimum mean squared error (DA-MMSE) precoder and investigate its usage with two-layer LSFP and conventional single-layer precoding (SLP) for hardware-impaired mMIMO systems. We discuss the use cases of LSFP and SLP with DA-MMSE and distortion-unaware MMSE…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks · Advanced Wireless Communication Techniques
