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Motivated by the practical constraints arising in emerging sensor network and Internet-of-Things (IoT) applications, the zero-delay transmission of a Gaussian measurement over a real single-input multiple-output (SIMO) additive white…

Information Theory · Computer Science 2017-06-01 Morteza Varasteh , Borzoo Rassouli , Osvaldo Simeone , Deniz Gunduz

In high-dynamic range (HDR) analog-to-digital converters (ADCs), having many quantization bits minimizes quantization errors but results in high bit rates, limiting their application scope. A strategy combining modulo-folding with a low-DR…

Signal Processing · Electrical Eng. & Systems 2023-11-23 Satish Mulleti , Resham Yashwanth Kumar , Laxmeesha Somappa

As a metric for amplitude fluctuation of orthogonal frequency division multiplexing (OFDM) signal, cubic metric (CM) has received an increasing attention because it is more closely related to the distortion induced by nonlinear devices than…

Information Theory · Computer Science 2016-01-20 Kee-Hoon Kim , Jong-Seon No , Dong-Joon Shin

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

It is well known that matched filtering and sampling (MFS) demodulation together with minimum Euclidean distance (MD) detection constitute the optimal receiver for the additive white Gaussian noise channel. However, for a general nonlinear…

Information Theory · Computer Science 2024-01-25 Kamran Keykhosravi , Morteza Tavana , Erik Agrell , Giuseppe Durisi

In this article, a framework is presented for the joint optimization of the analog transmit and receive filter with respect to a parameter estimation problem. At the receiver, conventional signal processing systems restrict the two-sided…

Information Theory · Computer Science 2018-05-09 Andreas Lenz , Manuel S. Stein , A. Lee Swindlehurst

Digital phased arrays have often been disregarded for millimeter-wave communications since the analog-to-digital converters (ADCs) are power-hungry. In this paper, we provide a different perspective on this matter by demonstrating…

Information Theory · Computer Science 2024-11-12 Erik Kennerland , Bengt Lindoff , Emil Björnson

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

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

Using a very low-resolution analog-to-digital convertor (ADC) unit at each antenna can remarkably reduce the hardware cost and power consumption of a massive multiple-input multiple-output (MIMO) system. However, such a pure low-resolution…

Information Theory · Computer Science 2016-11-17 Ti-Cao Zhang , Chao-Kai Wen , Shi Jin , Tao Jiang

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

One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters…

Information Theory · Computer Science 2016-12-08 Muris Sarajlić , Liang Liu , Ove Edfors

The power consumption of high-speed, high-resolution analog to digital converters (ADCs) is a limiting factor in implementing large-bandwidth mm-wave communication systems. A mitigating solution, which has drawn considerable recent…

Signal Processing · Electrical Eng. & Systems 2022-08-10 Farhad Shirani , Hamidreza Aghasi

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

In this paper, we present a differential modulation and detection scheme for use in the uplink of a system with a large number of antennas at the base station, each equipped with low-resolution analog-to-digital converters (ADCs). We derive…

Signal Processing · Electrical Eng. & Systems 2021-12-03 Don-Roberts Emenonye , Carl Dietrich , R. Michael Buehrer

Hardware imperfections can significantly reduce the performance of full-duplex wireless systems by introducing non-idealities and random effects that make it challenging to fully suppress self-interference. Previous research has mostly…

Information Theory · Computer Science 2014-12-16 Alexios Balatsoukas-Stimming , Andrew Charles Mallory Austin , Pavle Belanovic , Andreas Burg

Affine Frequency Division Multiplexing (AFDM) has been proposed as an effective waveform for achieving the full diversity of doubly-dispersive (delay-Doppler) channels. While this property is closely related to range and velocity estimation…

Information Theory · Computer Science 2025-11-07 Ali Bemani , Nassar Ksairi , Marios Kountouris

Low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) are considered to reduce cost and power consumption in multiuser massive multiple-input multiple-output (MIMO). Using the Bussgang theorem, we derive…

Information Theory · Computer Science 2017-06-22 Jindan Xu , Wei Xu , Fengkui Gong

Photonic analog to digital conversion offers promise to overcome the signal-to-noise ratio (SNR) and sample rate trade-off in conventional analog to digital converters (ADCs), critical for modern digital communications and signal analysis.…

Signal Processing · Electrical Eng. & Systems 2019-09-09 Callum Deakin , Zhixin Liu

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
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