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This paper focuses on channel estimation for mmWave MIMO systems with 1-bit spatial sigma-delta analog-to-digital converters (ADCs). The channel estimation performance with 1-bit spatial sigma-delta ADCs depends on the quantization noise…

Signal Processing · Electrical Eng. & Systems 2020-10-26 R. S. Prasobh Sankar , Sundeep Prabhakar Chepuri

We study collaborative machine learning systems where a massive dataset is distributed across independent workers which compute their local gradient estimates based on their own datasets. Workers send their estimates through a multipath…

Information Theory · Computer Science 2021-03-22 Busra Tegin , Tolga M. Duman

We derive an expression for the capacity of massive multiple-input multiple-output Millimeter wave (mmWave) channel where the receiver is equipped with a variable-resolution Analog to Digital Converter (ADC) and a hybrid combiner. The…

Signal Processing · Electrical Eng. & Systems 2018-09-11 I. Zakir Ahmed , Hamid Sadjadpour , Shahram Yousefi

Phase-modulated continuous-wave (PMCW) multiple-input multiple-output (MIMO) radar systems are known to possess excellent mutual interference mitigation capabilities, but require costly and power-hungry high sampling rate and high-precision…

Signal Processing · Electrical Eng. & Systems 2023-06-16 Xiaolei Shang , Ronghao Lin , Yuanbo Cheng

In this paper, we propose a low-complexity beamspace channel denoising algorithm for millimeter-wave (mmWave) massive multi-input multi-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs). The proposed method…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Hanyoung Park , Eunho Kim , Ji-Woong Choi

This paper investigates the effect of low-resolution analog-to-digital converters (ADCs) on device activity detection in massive machine-type communications (mMTC). The low-resolution ADCs induce two challenges on the device activity…

Information Theory · Computer Science 2023-04-14 Zhaorui Wang , Ya-Feng Liu , Ziyue Wang , Liang Liu , Haoyuan Pan , Shuguang Cui

Millimeter wave (mmWave) communication systems using adaptive-resolution analog-to-digital converters (RADCs) have recently drawn considerable interests from the research community as benefit of their high energy efficiency and low…

Information Theory · Computer Science 2020-09-29 Xihan Chen , Yunlong Cai , An Liu , Lajos Hanzo

Millimeter wave (mmWave) systems will likely employ large antenna arrays at both the transmitters and receivers. A natural application of antenna arrays is simultaneous transmission to multiple users, which requires multi-user precoding at…

Information Theory · Computer Science 2016-11-17 Ahmed Alkhateeb , Robert W. Heath , Geert Leus

The design and measurement results of ultra-low power, fast 10-bit Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) prototypes in 65 nm CMOS technology are presented. Eight prototype ADCs were designed using two…

Instrumentation and Detectors · Physics 2023-12-25 Mirosław Firlej , Tomasz Fiutowski , Marek Idzik , Jakub Moroń , Krzysztof Świentek

This letter revisits the channel estimation problem for MIMO systems with one-bit analog-to-digital converters (ADCs) through a novel algorithm--Amplitude Retrieval (AR). Unlike the state-of-the-art methods such as those based on one-bit…

Signal Processing · Electrical Eng. & Systems 2020-01-08 Cheng Qian , Xiao Fu , Nicholas D. Sidiropoulos

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

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

The use of low-resolution analog-to-digital converters (ADCs) is considered to be an effective technique to reduce the power consumption and hardware complexity of wireless transceivers. However, in systems with low-resolution ADCs,…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Ly V. Nguyen , Duy T. Ngo , Nghi H. Tran , A. Lee Swindlehurst , Duy H. N. Nguyen

In this paper, we propose and evaluate two novel double-sequence low-resolution frequency synchronization methods in millimeter-wave (mmWave) systems. In our system model, the base station uses analog beams to send the synchronization…

Signal Processing · Electrical Eng. & Systems 2018-12-11 Dalin Zhu , Ralf Bendlin , Salam Akoum , Arunabha Ghosh , Robert W. Heath

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

Large-scale multiple-antenna systems with large bandwidth are fundamental for future wireless communications, where the base station employs a large antenna array. In this scenario, one problem faced is the large energy consumption as the…

Information Theory · Computer Science 2020-05-19 Z. Shao , L. Landau , R. C. de Lamare

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

The use of low-resolution analog-to-digital converters (ADCs) can significantly reduce power consumption and hardware cost. However, their resulting severe nonlinear distortion makes reliable data transmission challenging. For orthogonal…

Information Theory · Computer Science 2019-01-31 Hanqing Wang , Wan-Ting Shih , Chao-Kai Wen , Shi Jin

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

In this work, we consider the acquisition of stationary signals using uniform analog-to-digital converters (ADCs), i.e., employing uniform sampling and scalar uniform quantization. We jointly optimize the pre-sampling and reconstruction…

Information Theory · Computer Science 2022-05-12 Peter Neuhaus , Nir Shlezinger , Meik Dörpinghaus , Yonina C. Eldar , Gerhard Fettweis
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