Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems with Low-Resolution ADCs

03/25/2018
by   Hengtao He, et al.
0

Hybrid analog-digital precoding architectures and low-resolution analog-to-digital converter (ADC) receivers are two solutions to reduce hardware cost and power consumption for millimeter wave (mmWave) multiple-input multiple-output (MIMO) communication systems with large antenna arrays. In this study, we consider a mmWave MIMO-OFDM receiver with a generalized hybrid architecture in which a small number of radio-frequency (RF) chains and low-resolution ADCs are employed simultaneously. Owing to the strong nonlinearity introduced by low-resolution ADCs, the task of data detection is challenging, particularly achieving a Bayesian optimal data detector. This study aims to fill this gap. By using generalized expectation consistent signal recovery technique, we propose a computationally efficient data detection algorithm that provides a minimum mean-square error estimate on data symbols and is extended to a mixed-ADC architecture. Considering particular structure of MIMO-OFDM channel matirx, we provide a lowcomplexity realization in which only FFT operation and matrixvector multiplications are required. Furthermore, we present an analytical framework to study the theoretical performance of the detector in the large-system limit, which can precisely evaluate the performance expressions such as mean-square error and symbol error rate. Based on this optimal detector, the potential of adding a few low-resolution RF chains and high-resolution ADCs for mixed-ADC architecture is investigated. Simulation results confirm the accuracy of our theoretical analysis and can be used for system design rapidly. The results reveal that adding a few low-resolution RF chains to original unquantized systems can obtain significant gains.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/20/2018

On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

Nowadays, millimeter-wave (mmWave) massive multiple-input multiple-outpu...
research
03/07/2020

Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs

Deploying large antenna arrays coupled with high-speed and high-resoluti...
research
11/25/2020

Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems

Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input ...
research
01/31/2020

ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs

In this paper, we propose a multi-layer artificial neural network (ANN) ...
research
09/11/2021

Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection

In this paper, the Hermite polynomials are employed to study linear appr...
research
12/01/2020

Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension

Nonlinear precoding and pulse shaping are jointly considered in multi-us...
research
01/03/2018

Reliable OFDM Transmission with Ultra-Low Resolution ADC

The use of low-resolution analog-to-digital converters (ADCs) can signif...

Please sign up or login with your details

Forgot password? Click here to reset