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Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter (CSIT) and receiver. This paper presents initial results on codebook design and performance analysis for…

Information Theory · Computer Science 2015-12-22 Jianhua Mo , Robert W. Heath

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

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

This letter investigates the uplink of a multi-user millimeter wave (mmWave) system, where the base station (BS) is equipped with a massive multiple-input multiple-output (MIMO) array and resolution-adaptive analog-to-digital converters…

Signal Processing · Electrical Eng. & Systems 2020-05-19 Hualian Sheng , Xihan Chen , Xiongfei Zhai , An Liu , Min-Jian Zhao

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

The massive Multiple-Input Multiple-Output (mMIMO) concept has been recently moving forward to extreme scales to address the envisioned requirements of next generation networks. However, the extension of conventional architectures will…

Signal Processing · Electrical Eng. & Systems 2024-01-17 Panagiotis Gavriilidis , Italo Atzeni , George C. Alexandropoulos

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties,…

Information Theory · Computer Science 2022-01-03 Yalin Wang , Xihan Chen , Yunlong Cai , Benoit Champagne , Lajos Hanzo

Analog-to-digital converters (ADCs) facilitate the conversion of analog signals into a digital format. While the specific designs and settings of ADCs can vary depending on their applications, it is crucial in many modern applications to…

Signal Processing · Electrical Eng. & Systems 2023-12-19 Satish Mulleti , Timur Zirtiloglu , Arman Tan , Rabia Tugce Yazicigil , Yonina C. Eldar

Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of quantization systems acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Nir Shlezinger , Yonina C. Eldar

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

In a high-speed coherent optical transmission system, typically the signals obtained at the receiver front-end are digitized using very high-speed ADCs and then processed in the digital domain to remove optical channel impairments. In this…

The uplink achievable rate of massive multiple- input-multiple-output (MIMO) systems, where the low-resolution analog-to-digital converters (ADCs) are assumed to equip at the base station (BS), is investigated in this paper. We assume that…

Information Theory · Computer Science 2018-01-31 Kai Liu , Cheng Tao , Liu Liu , Yinsheng Liu

In this paper, we derive a closed-form expression for the combiner of a multiple-input-multiple-output (MIMO) receiver equipped with a minimum-mean-square-error (MMSE) estimator. We propose using variable-bit-resolution analog-to- digital…

Signal Processing · Electrical Eng. & Systems 2018-04-27 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

Extremely low-resolution (e.g. one-bit) analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) can substantially reduce hardware cost and power consumption for MIMO radar especially with large scale antennas. In this…

Signal Processing · Electrical Eng. & Systems 2022-06-22 Minglong Deng , Ziyang Cheng , Linlong Wu , Bhavani Shankar , Zishu He

Massive MIMO systems are moving toward increased numbers of radio frequency chains, higher carrier frequencies and larger bandwidths. As such, digital-to-analog converters (DACs) are becoming a bottleneck in terms of hardware complexity and…

Systems and Control · Electrical Eng. & Systems 2025-07-16 Thomas Feys , Liesbet Van der Perre , François Rottenberg

Fixed low-resolution Analog to Digital Converters (ADC) help reduce the power consumption in millimeter-wave Massive Multiple-Input Multiple-Output (Ma-MIMO) receivers operating at large bandwidths. However, they do not guarantee optimal…

Signal Processing · Electrical Eng. & Systems 2021-04-13 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

This work studies a multi-cell one-bit massive multiple-input multiple-output (MIMO) system that employs one-bit analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) at each base station (BS). We utilize Bussgang…

Information Theory · Computer Science 2023-12-27 Qurrat-Ul-Ain Nadeem , Anas Chaaban

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 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

In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Elyes Balti , Brian L. Evans