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This paper studies the spectral/energy efficiency (SE/EE) of a heterogeneous network with the backhaul enabled by low-resolution analog-to-digital converters (ADCs) quantized full-duplex massive multiple-input multiple-output (MIMO) over…

Information Theory · Computer Science 2020-05-14 Prince Anokye , Roger Kwao Ahiadormey , Han-Shin Jo , Changick Song , Kyoung-Jae Lee

We consider wireless communication systems with compact planar arrays having densely spaced antenna elements in conjunction with one-bit analog-to-digital and digital-to-analog converters (ADCs/DACs). We provide closed-form expressions for…

Information Theory · Computer Science 2020-12-07 Amine Mezghani , Faouzi Bellili , Robert W. Heath,

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

With the advent of high-speed, high-precision, and low-power mixed-signal systems, there is an ever-growing demand for accurate, fast, and energy-efficient analog-to-digital (ADCs) and digital-to-analog converters (DACs). Unfortunately,…

Systems and Control · Electrical Eng. & Systems 2024-06-05 Loai Danial , Kanishka Sharma , Shahar Kvatinsky

We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO) system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to-digital converters and a spatial Sigma-Delta…

Signal Processing · Electrical Eng. & Systems 2021-07-15 Shilpa Rao , Gonzalo Seco-Granados , Hessam Pirzadeh , Josef A. Nossek , A. Lee Swindlehurst

Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both. To scale down the complexity and power consumption when operating across…

Signal Processing · Electrical Eng. & Systems 2023-12-05 Italo Atzeni , Antti Tölli , Duy H. N. Nguyen , A. Lee Swindlehurst

Today's communication systems typically use high resolution analog-to-digital converters (ADCs). However, considering future communication systems with data rates in the order of 100Gbit/s the ADC power consumption becomes a major factor…

Information Theory · Computer Science 2019-12-03 Gerhard Fettweis , Meik Dörpinghaus , Sandra Bender , Lukas Landau , Peter Neuhaus , Martin Schlüter

We present the design and performance of a prototype ASIC digitizer for integrated wire chamber readout, implemented in 65 nm commercial CMOS technology. Each channel of the 4-channel prototype is composed of two 16-bit Time-to-Digital…

This paper studies the transmit waveform optimization for a quantized multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system, where one-bit analog-to-digital converters (ADCs) are employed to enable a…

Signal Processing · Electrical Eng. & Systems 2026-04-09 Qi Lin , Hong Shen , Wei Xu , Chunming Zhao

Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capability of dramatically reducing the hardware cost. Besides,…

Signal Processing · Electrical Eng. & Systems 2019-05-16 Lei Chu , Fei Wen , Robert Caiming Qiu

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

The capacity region of a two-transmitter Gaussian multiple access channel (MAC) under average input power constraints is studied, when the receiver employs a zero-threshold one-bit analog-to-digital converter (ADC). It is proved that the…

Information Theory · Computer Science 2018-10-17 Borzoo Rassouli , Morteza Varasteh , Deniz Gunduz

In this work, we investigate the capacity of multi-antenna fading channels with 1-bit quantized output per receive antenna. Specifically, leveraging Bayesian statistical tools, we analyze the asymptotic regime with a large number of receive…

Information Theory · Computer Science 2024-07-24 Sheng Yang , Richard Combes

In millimeter wave (mmWave) systems, we investigate uplink user scheduling when a basestation employs low-resolution analog-to-digital converters (ADCs) with a large number of antennas. To reduce power consumption in the receiver,…

Information Theory · Computer Science 2018-02-01 Jinseok Choi , Brian L. Evans

A potential tremendous spectrum resource makes millimeter wave (mmWave) communications a promising technology. High power consumption due to a large number of antennas and analog-to-digital converters (ADCs) for beamforming to overcome the…

Information Theory · Computer Science 2017-10-31 Junmo Sung , Jinseok Choi , Brian L. Evans

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

Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antennas the energy consumption will also increase. One possible…

Information Theory · Computer Science 2019-10-08 Z. Shao , L. Landau , R. C. de Lamare

In Massive MIMO base stations (BSs), the hardware design needs to balance high spectral efficiency (SE) with low complexity. The level of hardware impairments (HWIs) indicates how strong the signal distortion introduced by hardware…

Information Theory · Computer Science 2021-04-20 Daniel Verenzuela , Emil Björnson , Michail Matthaiou

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 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