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This paper considers a multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we propose a novel communication framework that is inspired by supervised learning. The key idea of…

Information Theory · Computer Science 2020-08-07 Yo-Seb Jeon , Song-Nam Hong , Namyoon Lee

In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance…

Information Theory · Computer Science 2022-02-17 Baihua Shi , Nuo Chen , Xicheng Zhu , Yuwen Qian , Yijin Zhang , Feng Shu , Jiangzhou Wang

This paper investigates the fundamental limits of integrated sensing and communication (ISAC) systems with 1-bit receiver quantization. We analyze a Gaussian fading ISAC channel with separate communication and monostatic sensing links,…

Signal Processing · Electrical Eng. & Systems 2026-05-04 Emmanuel Trinidad , Neil Irwin Bernardo

We consider a wideband integrated access and backhaul system operating in full-duplex mode between the New Radio gNB donor and single user equipment. Due to high power consumption in millimeter wave systems, we use low-resolution…

Signal Processing · Electrical Eng. & Systems 2022-02-08 Elyes Balti , Brian L. Evans

In this paper, we consider a two-cell interfering two-user multiple-input multiple-output multiple access channel (MIMO-MAC) with limited feedback. We first investigate the multiplexing gain of such channel when users have perfect channel…

Information Theory · Computer Science 2010-10-06 Namyoon Lee , Wonjae Shin , Bruno Clerckx

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

We analyze the performance of multiple-input multiple-output (MIMO) links with one-bit output quantization in terms of achievable rates and characterize their performance loss compared to unquantized systems for general channel statistical…

Information Theory · Computer Science 2017-12-18 Amine Mezghani , Josef A. Nossek , A. Lee Swindelhurst

Improving the power efficiency and spectral efficiency of communication systems has been one of the major research goals over the recent years. However, there is a tradeoff in achieving both goals at the same time. In this work, we consider…

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

Antenna arrays will be an important ingredient in millimeter wave (mmWave) cellular systems. A natural application of antenna arrays is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in mmWave systems…

Information Theory · Computer Science 2016-11-18 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

In this work, we analyze hybrid ARQ (HARQ) protocols over the independent block fading channel. We assume that the transmitter is unaware of the channel state information (CSI) but has a knowledge about the channel statistics. We consider…

Information Theory · Computer Science 2013-11-25 Mohammed Jabi , Leszek Szczecinski , Mustapha Benjillali , Fabrice Labeau

Large-scale multi-user multiple-input multiple-output (MU-MIMO) systems and cloud radio access networks (C-RANs) are considered promising technologies for the fifth generation (5G) of wireless networks. In these technologies, the use of…

Information Theory · Computer Science 2020-12-08 T. Cunha , R. C. de Lamare , T. N. Ferreira , L. T. N. Landau

Due to the power consumption and high circuit cost in antenna arrays, the practical application of massive multiple-input multiple-output (MIMO) in the sixth generation (6G) and future wireless networks is still challenging. Employing…

Information Theory · Computer Science 2023-05-23 Baihua Shi , Qi Zhang , Rongen Dong , Qijuan Jie , Shihao Yan , Feng Shu , Jiangzhou Wang

The capacity of a fading channel can be substantially increased by feeding back channel state information from the receiver to the transmitter. With limited-rate feedback what state information to feed back and how to encode it are…

Information Theory · Computer Science 2016-11-15 Manish Agarwal , Dongning Guo , Michael Honig

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

The Compressive Sensing framework maintains relevance even when the available measurements are subject to extreme quantization, as is exemplified by the so-called one-bit compressed sensing framework which aims to recover a signal from…

Numerical Analysis · Mathematics 2015-06-03 Phillip North , Deanna Needell

We consider a MIMO fading broadcast channel where channel state information is acquired at user terminals via downlink training and channel feedback is used to provide transmitter channel state information (CSIT) to the base station. The…

Information Theory · Computer Science 2016-11-15 Mari Kobayashi , Nihar Jindal , Giuseppe Caire

In this letter, we investigate the robust beamforming design for an integrated sensing and communication (ISAC) system featuring low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs). Taking into account…

Signal Processing · Electrical Eng. & Systems 2025-07-22 Tiantian Xu , Zhenyao He , Jindan Xu , Wei Xu , Jianfeng Wang , Derrick Wing Kwan Ng

One-bit quantization with time-varying sampling thresholds (also known as random dithering) has recently found significant utilization potential in statistical signal processing applications due to its relatively low power consumption and…

Information Theory · Computer Science 2024-01-17 Arian Eamaz , Farhang Yeganegi , Deanna Needell , Mojtaba Soltanalian

Processing, storing and communicating information that originates as an analog signal involves conversion of this information to bits. This conversion can be described by the combined effect of sampling and quantization, as illustrated in…

Information Theory · Computer Science 2018-05-23 Alon Kipnis , Yonina C. Eldar , Andrea J. Goldsmith

In task-based quantization, a multivariate analog signal is transformed into a digital signal using a limited number of low-resolution analog-to-digital converters (ADCs). This process aims to minimize a fidelity criterion, which is…

Information Theory · Computer Science 2024-02-05 Marian Temprana Alonso , Farhad Shirani , Neil Irwin Bernardo , Yonina C. Eldar