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Analog-to-digital converters (ADCs) stand for a significant part of the total power consumption in a massive MIMO base station. One-bit ADCs are one way to reduce power consumption. This paper presents an analysis of the spectral efficiency…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Junil Choi , Erik G. Larsson , Robert W. Heath

Receivers with joint channel estimation and signal detection using superimposed pilots (SP) can achieve high transmission efficiency in orthogonal time frequency space (OTFS) systems. However, existing receivers have high computational…

Information Theory · Computer Science 2024-04-16 Fupeng Huang , Qinghua Guo , Youwen Zhang , Yuriy Zakharov

This work analyses the performance-complexity tradeoff for different direction of arrival (DoA) estimation techniques. Such tradeoff is investigated taking into account uniform linear array structures. Several DoA estimation techniques have…

Signal Processing · Electrical Eng. & Systems 2020-02-06 Edno Gentilho , Paulo Rogério Scalassara , Taufik Abrão

One-bit analog-to-digital converter (ADC), performing signal sampling as an extreme simple comparator, is an overwhelming technology for spectrum sensing due to its low-cost, low-power consumptions and high sampling rate. In this letter, we…

Information Theory · Computer Science 2021-04-09 Yuan Zhao , Xiaochuan Ke , Bo Zhao , Yuhang Xiao , Lei Huang

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

Recent works propose neural network- (NN-) inspired analog-to-digital converters (NNADCs) and demonstrate their great potentials in many emerging applications. These NNADCs often rely on resistive random-access memory (RRAM) devices to…

Machine Learning · Computer Science 2019-12-02 Weidong Cao , Liu Ke , Ayan Chakrabarti , Xuan Zhang

This paper considers uplink massive multiple-input multiple-output (MIMO) systems with lowresolution analog-to-digital converters (ADCs) over Rician fading channels. Maximum-ratio-combining (MRC) and zero-forcing (ZF) receivers are…

Signal Processing · Electrical Eng. & Systems 2019-06-25 Tianle Liu , Jun Tong , Qinghua Guo , Jiangtao Xi , Yanguang Yu , Zhitao Xiao

High-performance computing of array signal processing problems is a critical task as real-time system performance is required for many applications. Noise subspace-based Direction-of-Arrival (DOA) estimation algorithms are popular in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-29 Hamza Eray , Alptekin Temizel

We propose a novel digital-to-analog converter (DAC) weighting architecture that statistically minimizes the distortion caused by random timing mismatches among current sources. To decode the DAC input codewords into corresponding DAC…

Signal Processing · Electrical Eng. & Systems 2025-12-10 Ramin Babaee , Shahab Oveis Gharan , Martin Bouchard

Hybrid analog/digital architectures and receivers with low-resolution analog-to-digital converters (ADCs) are two low power solutions for wireless systems with large antenna arrays. Most prior work represents two extreme cases in which…

Signal Processing · Electrical Eng. & Systems 2019-11-01 Mahdi Eskandari , Hamidreza Bakhshi

In this paper, we propose an analytical model to estimate the signal-to-noise ratio (SNR) at the output of an adaptive equalizer in intensity modulation and direct detection (IMDD) optical transmission systems affected by shot noise,…

Numerical Analysis · Mathematics 2023-04-24 Giuseppe Rizzelli , Pablo Torres-Ferrera , Fabrizio Forghieri , Roberto Gaudino

Recent work on encoder-decoder models for sequence-to-sequence mapping has shown that integrating both temporal and spatial attention mechanisms into neural networks increases the performance of the system substantially. In this work, we…

Machine Learning · Computer Science 2017-08-04 Stefan Braun , Daniel Neil , Enea Ceolini , Jithendar Anumula , Shih-Chii Liu

Future communication system requires large bandwidth to achieve high data rate up to multigigabit/ sec, which makes analog-to-digital (ADC) become a key bottleneck for the implementation of digital receivers due to its high complexity and…

Information Theory · Computer Science 2013-06-05 Zhiyong Wang , Huarui Yin , Wenyi Zhang , Guo Wei

When scaling distributed training, the communication overhead is often the bottleneck. In this paper, we propose a novel SGD variant with reduced communication and adaptive learning rates. We prove the convergence of the proposed algorithm…

Machine Learning · Computer Science 2020-12-08 Cong Xie , Oluwasanmi Koyejo , Indranil Gupta , Haibin Lin

We propose an adaptive learning-based framework for uplink massive multiple-input multiple-output (MIMO) systems with one-bit analog-to-digital converters. Learning-based detection does not need to estimate channels, which overcomes a key…

Signal Processing · Electrical Eng. & Systems 2022-11-15 Yunseong Cho , Jinseok Choi , Brian L. Evans

For 5G it will be important to leverage the available millimeter wave spectrum. To achieve an approximately omni- directional coverage with a similar effective antenna aperture compared to state of the art cellular systems, an antenna array…

Information Theory · Computer Science 2017-04-27 Kilian Roth , Josef A. Nossek

Low-resolution analog-to-digital converters (ADCs) are promising for reducing energy consumption and costs of multiuser multiple-input multiple-output (MIMO) systems with many antennas. We propose low-resolution multiuser MIMO receivers…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Ana Beatriz L. B. Fernandes , Zhichao Shao , Lukas T. N. Landau , Rodrigo C. de Lamare

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

RF system-on-chip (RFSoC) devices provide the potential for implementing a complete radio astronomy receiver on a single board, but performance of the integrated analogue-to-digital converters is critical. We have evaluated the performance…

Instrumentation and Methods for Astrophysics · Physics 2021-01-06 Chao Liu , Michael E. Jones , Angela C. Taylor

In this paper, we analyze the ergodic rate of single transmit antenna selection (TAS) in low-resolution analog-to-digital converter (ADC) systems. Using low-resolution ADCs is a potential power-reduction solution for multiple antenna…

Information Theory · Computer Science 2019-01-28 Jinseok Choi , Brian L. Evans
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