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This article presents a differential detection scheme for the uplink of a massive MIMO system that employs one-bit quantizers on each receive antenna. We focus on the detection of differential amplitude and phase shift keying symbols and we…

Signal Processing · Electrical Eng. & Systems 2021-10-28 Don-Roberts Emenonye , Carl Dietrich , R. Michael Buehrer

In massive multiple-input multiple-output (MIMO) systems, it may not be power efficient to have a high-resolution analog-to-digital converter (ADC) for each antenna element. In this paper, a near maximum likelihood (nML) detector for uplink…

Information Theory · Computer Science 2016-02-12 Junil Choi , Jianhua Mo , Robert W. Heath

The use of one-bit analog-to-digital converters (ADCs) is a practical solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. However, the distortion caused by one-bit ADCs makes the data…

Signal Processing · Electrical Eng. & Systems 2020-09-02 Ly V. Nguyen , A. Lee Swindlehurst , Duy H. N. Nguyen

As communication systems advance towards the future 6G era, the incorporation of large-scale antenna arrays in base stations (BSs) presents challenges such as increased hardware costs and energy consumption. To address these issues, the use…

Signal Processing · Electrical Eng. & Systems 2024-07-18 Mingjie Shao , Wei-Kun Chen , Cheng-Yang Yu , Ya-Feng Liu , Wing-Kin Ma

Using a very low-resolution analog-to-digital convertor (ADC) unit at each antenna can remarkably reduce the hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system. However, such a pure low-resolution…

Information Theory · Computer Science 2016-11-17 Ti-Cao Zhang , Chao-Kai Wen , Shi Jin , Tao Jiang

In this paper, we consider the downlink of a massive multiple-input-multiple-output (MIMO) single user transmission system operating in the millimeter wave outdoor narrowband channel environment. We propose a novel receive spatial…

Information Theory · Computer Science 2018-03-23 Ahmed Raafat , Adrian Agustin , Josep Vidal

In this paper, we propose an algorithm based on the Alternating Minimization technique to solve the uplink massive MIMO detection problem. The proposed algorithm provides a lower complexity compared to the conventional MMSE detection…

Information Theory · Computer Science 2019-02-26 Anis Elgabli , Ali Elghariani , Vaneet Aggarwal , Mark Bell

Massive multiple-input multiple-output (MIMO) is a promising technology for next generation wireless communication systems (5G). In this technology, Base Station (BS) is equipped with a large number of antennas. Employing high resolution…

Signal Processing · Electrical Eng. & Systems 2017-10-03 Azad Azizzadeh , Reza Mohammadkhani , Seyed Vahab Al-Din Makki

To leverage high-frequency bands in 6G wireless systems and beyond, employing massive multiple-input multipleoutput (MIMO) arrays at the transmitter and/or receiver side is crucial. To mitigate the power consumption and hardware complexity…

Signal Processing · Electrical Eng. & Systems 2025-10-01 Amin Radbord , Italo Atzeni , Antti Tölli

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)…

Information Theory · Computer Science 2018-07-04 Hengtao He , Chao-Kai Wen , Shi Jin

We investigate massive multiple-input-multiple output (MIMO) uplink systems with 1-bit analog-to-digital converters (ADCs) on each receiver antenna. Receivers that rely on 1-bit ADC do not need energy-consuming interfaces such as automatic…

Information Theory · Computer Science 2014-05-01 Chiara Risi , Daniel Persson , Erik G. Larsson

We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs) and i.i.d. Rayleigh fading. First, we provide…

Information Theory · Computer Science 2021-11-17 Italo Atzeni , Antti Tölli

We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs).…

Information Theory · Computer Science 2017-04-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

We present a new analytical framework on the uplink data detection for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters (ADCs). We first characterize the expected values of the soft-estimated symbols…

Information Theory · Computer Science 2026-03-26 Amin Radbord , Italo Atzeni , Antti Tolli

Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. Unfortunately, low-resolution…

Signal Processing · Electrical Eng. & Systems 2020-11-09 Ly V. Nguyen , Duy H. N. Nguyen , A. Lee Swindlehurst

This paper presents an analytical framework for the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs). Considering the single-user case, we provide closed-form expressions…

Information Theory · Computer Science 2021-07-27 Italo Atzeni , Antti Tölli

In this paper, we investigate learning-based maximum likelihood (ML) detection for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters (ADCs). To overcome the significant dependency of…

Information Theory · Computer Science 2019-08-27 Jinseok Choi , Yunseong Cho , Brian L. Evans , Alan Gatherer

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

This work studies multiuser detection for one-bit massive multiple-input multiple-output (MIMO) systems in order to diminish the power consumption at the base station (BS). A low-complexity near-maximum-likelihood (nML) multiuser detection…

Information Theory · Computer Science 2018-06-11 Panos Alevizos

The use of one-bit analog-to-digital converters (ADCs) at a receiver is a power-efficient solution for future wireless systems operating with a large signal bandwidth and/or a massive number of receive radio frequency chains. This solution,…

Signal Processing · Electrical Eng. & Systems 2019-04-01 Yo-Seb Jeon , Namyoon Lee , H. Vincent Poor
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