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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

In this letter, we propose three linear receivers including Bussgang-based Maximal Ratio Combining (BMRC), Bussgang-based Zero-Forcing (BZF), and Bussgang-based Minimum Mean Squared Error (BMMSE) for massive MIMO systems with one-bit…

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

This paper considers signal detection in massive multiple-input multiple-output (MIMO) systems with general additive hardware impairments and one-bit quantization. First, we present the quantization-unaware and Bussgang decomposition-based…

Signal Processing · Electrical Eng. & Systems 2020-02-06 Özlem Tugfe Demir , Emil Björnson

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

We present a novel iterative detection and decoding scheme for the uplink of large-scale multiuser multiple-antenna systems. In order to reduce the receiver's energy consumption and computational complexity, 1-bit analog-to-digital…

Information Theory · Computer Science 2017-12-27 Z. Shao , L. Landau , R. de Lamare

Massive MIMO (Multiple-Input Multiple-Output) is a key enabler for 5G and future wireless systems, boosting channel capacity, energy efficiency, and spectral efficiency. However, high power consumption and hardware costs of…

Optimization and Control · Mathematics 2025-12-08 Jie Zhang , Huifu Xu

In this paper, we investigate secure transmission in a massive multiple-input multiple-output (MIMO) system adopting low-resolution digital-to-analog converters (DACs). Artificial noise (AN) is deliberately transmitted simultaneously with…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Jun Zhu , Derrick Wing Kwan Ng , A. Lee Swindlehurst

The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input multiple-output (MIMO) systems. In this letter, we investigate…

Information Theory · Computer Science 2016-11-15 Jiayi Zhang , Linglong Dai , Shengyang Sun , Zhaocheng Wang

This paper investigates a hardware-efficient massive multiple-input multiple-output integrated sensing and communication (MIMO-ISAC) system with 1-bit analog-to-digital converters (ADCs)/digital-to-analog converters (DACs). The proposed…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Bowen Wang , Hongyu Li , Bin Liao , Ziyang Cheng

We consider a downlink 1-bit quantized multiuser (MU) multiple-input-multiple-output (MIMO) system, where 1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are used at the transmitter and the receiver for economical and…

Information Theory · Computer Science 2017-06-28 Hela Jedda , Amine Mezghani , Jawad Munir , Fabian Steiner , Josef A. Nossek

Low-resolution digital-to-analog converter (DAC) has shown great potential in facilitating cost- and power-efficient implementation of massive multiple-input multiple-output (MIMO) systems. We investigate the performance of a massive MIMO…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Fengkui Gong , Hua Zhang , Xiaohu You

We study a downlink multi-user multiple-input single-output (MU-MISO) system in which the base station (BS) has a large number of antennas with cost-effective one-bit digital-to-analog converters (DACs). In this system, we first identify…

Information Theory · Computer Science 2019-01-24 Gyu-Jeong Park , Song-Nam Hong

This paper considers the channel estimation problem for massive multiple-input multiple-output (MIMO) systems that use one-bit analog-to-digital converters (ADCs). Previous channel estimation techniques for massive MIMO using one-bit ADCs…

Information Theory · Computer Science 2022-06-28 Hwanjin Kim , Junil Choi

Massive multiple-input multiple-output (MIMO) has the potential to substantially improve the spectral efficiency, robustness and coverage of mobile networks. However, such potential is limited by hardware cost and power consumption…

Information Theory · Computer Science 2018-03-14 Mingjie Shao , Qiang Li , Wing-Kin Ma

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from previous works…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi Zhang

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC receiver architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from…

Information Theory · Computer Science 2015-07-28 Ning Liang , Wenyi Zhang

In this paper, an analytical framework for evaluating the performance of scalable cell-free massive MIMO (SCF-mMIMO) systems in which all user equipments (UEs) and access points (APs) employ finite resolution digital-to-analog converters…

Information Theory · Computer Science 2021-09-16 Xiangjun Ma , Xianfu Lei , P. Takis Mathiopoulos , Kai Yu , Xiaohu Tang

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

Information Theory · Computer Science 2014-11-18 Liangbin Li , Alexei Ashikhmin , Thomas Marzetta

We present a novel non-linear precoding technique for the transmission of 16 quadrature amplitude modulation (QAM) symbols in a 1-bit massive multi-user (MU) multipleinput- single-output (MISO) downlink system. We deploy low resolution…

Information Theory · Computer Science 2016-12-19 Donia Ben Amor , Hela Jedda , Josef A. Nossek

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter and receiver. This paper presents codebook designs and performance analyses for limited feedback MIMO…

Information Theory · Computer Science 2017-04-17 Jianhua Mo , Robert W. Heath