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Fronthaul quantization causes a significant distortion in cell-free massive MIMO networks. Due to the limited capacity of fronthaul links, information exchange among access points (APs) must be quantized significantly. Furthermore, the…

Signal Processing · Electrical Eng. & Systems 2024-05-03 Vida Ranjbar , Robbert Beerten , Marc Moonen , Sofie Pollin

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption…

Information Theory · Computer Science 2020-02-19 Ali Bulut Üçüncü , Emil Björnson , Håkan Johansson , Erik G. Larsson , Ali Özgür Yılmaz

Cell-free massive MIMO has matured into a key candidate technology for 6G and beyond, owing to its ability to provide nearly uniform service quality to many user equipments (UEs) over the same time-frequency resources. Unlike conventional…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Özlem Tuğfe Demir , Salih Gümüşbuğa

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

Cell-free massive MIMO is a key 6G technology, offering superior spectral and energy efficiency. However, its dense deployment of low-cost access points (APs) makes hardware impairments unavoidable. While narrowband impairments are…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Özlem Tuğfe Demir , Muhammed Selman Somuncu , Ahmet M. Elbir , Emil Björnson

In this paper, we investigate network-assisted full-duplex (NAFD) cell-free millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems with digital-to-analog converter (DAC) quantization and fronthaul compression. We…

Information Theory · Computer Science 2023-02-20 Jiamin Li , Qingrui Fan , Yu Zhang , Pengcheng Zhu , Dongming Wang , Hao Wu , Xiaohu You

Analog-to-digital converters (ADCs) stand for a significant part of the total power consumption in a massive MIMO base station. One-bit ADCs are one way to reduce power consumption. This paper presents an analysis of the spectral efficiency…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Junil Choi , Erik G. Larsson , Robert W. Heath

Cell-free massive MIMO (multiple-input multiple-output) enhances spectral and energy efficiency compared to conventional cellular networks by enabling joint transmission and reception across a large number of distributed access points…

Signal Processing · Electrical Eng. & Systems 2026-02-10 Özlem Tuğfe Demir , Emil Björnson

This paper analyzes the performance of multicell massive multiple-input and multiple-output (MIMO) systems with variable-resolution analog-to-digital converters (ADCs). In such an architecture, each ADC uses arbitrary quantization…

Information Theory · Computer Science 2021-09-21 Youzhi Xiong , Sanshan Sun , Ning Wei , Li Liu , Zhongpei Zhang

This paper considers channel estimation and uplink achievable rate of the coarsely quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) impairments. We utilize additive quantization noise model (AQNM) and…

Signal Processing · Electrical Eng. & Systems 2019-02-01 Liangyuan Xu , Xintong Lu , Shi Jin , Feifei Gao , Yongxu Zhu

Cell-free Massive multiple-input multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal…

Information Theory · Computer Science 2019-07-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Merouane Debbah , Pei Xiao

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

Cell-free massive MIMO (multiple-input multiple-output) is a key enabler for the sixth generation (6G) of mobile networks, offering significant spectral and energy efficiency gains through user-centric operation of distributed access points…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Özlem Tuğfe Demir , Emil Björnson

We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit analog-to-digital converters (ADCs) are used at the base…

Information Theory · Computer Science 2017-04-18 Feiyu Wang , Jun Fang , Hongbin Li , Shaoqian Li

Low-resolution analog-to-digital converters (ADCs) in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems can significantly reduce the power, cost, and interconnect data rates of infrastructure basestations. Thus,…

Information Theory · Computer Science 2023-11-29 Jérémy Guichemerre , Christoph Studer

Low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) have attracted considerable attention in efforts to reduce power consumption in millimeter wave (mmWave) and massive MIMO systems. This paper presents an…

Information Theory · Computer Science 2020-08-04 Sourjya Dutta , Abbas Khalili , Elza Erkip , Sundeep Rangan

We consider timing and frequency synchronization for the massive multiuser (MU) multiple-input multiple-output (MIMO) downlink where 1-bit digital-to-analog converters (DACs) are used at the base station (BS). We focus on the practically…

Information Theory · Computer Science 2019-05-21 Sven Jacobsson , Carl Lindquist , Giuseppe Durisi , Thomas Eriksson , Christoph Studer

Millimeter wave systems suffer from high power consumption and are constrained to use low resolution quantizers --digital to analog and analog to digital converters (DACs and ADCs). However, low resolution quantization leads to reduced data…

Information Theory · Computer Science 2022-02-08 Abbas Khalili , Elza Erkip , Sundeep Rangan
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