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When a quantizer input signal is the sum of the desired signal and input white noise, the quantization error is a function of total input signal. Our new equivalent model splits the quantization error into two components: a non-linear…

Networking and Internet Architecture · Computer Science 2019-04-19 Arkady Molev-Shteiman , Xiao-Feng Qi , Laurence Mailaender , Narayan Prasad , Bertrand Hochwald

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

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 digital-to-analog converter (DAC) has shown great potential in facilitating cost- and power-efficient implementation of massive multiple-input multiple-output (MIMO) systems. We investigate the performance of a massive MIMO…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Fengkui Gong , Hua Zhang , Xiaohu You

Based on a new equivalent model of quantizer with noisy input recently presented in [23], we propose a new low complexity receiver that takes into account the nonlinear distortion (NLD) generated by Analog to Digital converter (ADC) with…

Signal Processing · Electrical Eng. & Systems 2019-04-23 Arkady Molev-Shteiman , Xiao-Feng Qi , Laurence Mailaender

In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Elyes Balti , Brian L. Evans

In this paper, we investigate secure transmission in a massive multiple-input multiple-output (MIMO) system adopting low-resolution digital-to-analog converters (DACs). Artificial noise (AN) is deliberately transmitted simultaneously with…

Information Theory · Computer Science 2019-01-30 Jindan Xu , Wei Xu , Jun Zhu , Derrick Wing Kwan Ng , A. Lee Swindlehurst

In this work, we consider a full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular network with low resolution analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). Our first contribution is to…

Signal Processing · Electrical Eng. & Systems 2022-05-20 Elyes Balti , Brian L. Evans

To leverage high-frequency bands in 6G wireless systems and beyond, employing massive multiple-input multipleoutput (MIMO) arrays at the transmitter and/or receiver side is crucial. To mitigate the power consumption and hardware complexity…

Signal Processing · Electrical Eng. & Systems 2025-10-01 Amin Radbord , Italo Atzeni , Antti Tölli

Dithering is a technique that can improve human perception of low-resolution data by reducing quantization artifacts. In this work we formalize and analytically justify two metrics for quantization artifact prominence, using them to design…

Signal Processing · Electrical Eng. & Systems 2024-02-27 Morriel Kasher , Michael Tinston , Predrag Spasojevic

We consider a MIMO fading broadcast channel and compare the achievable ergodic rates when the channel state information at the transmitter is provided by analog noisy feedback or by quantized (digital) feedback. The superiority of digital…

Information Theory · Computer Science 2007-07-13 Giuseppe Caire , Nihar Jindal , Mari Kobayashi , Niranjay Ravindran

The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input multiple-output (MIMO) systems. In this letter, we investigate…

Information Theory · Computer Science 2016-11-15 Jiayi Zhang , Linglong Dai , Shengyang Sun , Zhaocheng Wang

This paper considers a multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, the paper presents a new MIMO detection approach using coding theory. The principal idea of the…

Information Theory · Computer Science 2016-10-26 Song-Nam Hong , Yo-Seb Jeon , Namyoon Lee

High resolution analog to digital converters (ADCs) are conventionally used at the receiver terminals to store an accurate digital representation of the received signal, thereby allowing for reliable decoding of transmitted messages.…

Information Theory · Computer Science 2021-12-07 Abbas Khalili , Farhad Shirani , Elza Erkip , Yonina C. Eldar

In this work, we consider a full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular network with low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Our first contribution is to provide…

Signal Processing · Electrical Eng. & Systems 2022-05-20 Elyes Balti , Brian L. Evans

The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Lei Chu , Fei Wen , Lily Li , Robert Qiu

We consider the downlink of a massive multiuser (MU) multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with low-resolution digital-to-analog converters (DACs). In contrast to most existing results, we…

Information Theory · Computer Science 2019-01-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Christoph Studer

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical and computational efficiency. We present a new precoding technique to mitigate the…

Information Theory · Computer Science 2017-06-28 Hela Jedda , Josef A. Nossek , Amine Mezghani

Massive multiuser (MU) multiple-input multiple-output (MIMO) is foreseen to be one of the key technologies in fifth-generation wireless communication systems. In this paper, we investigate the problem of downlink precoding for a narrowband…

Information Theory · Computer Science 2017-06-30 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

Digital beamforming and waveform generation techniques in MIMO radar offer enormous advantages in terms of flexibility and performance compared to conventional radar systems based on analog implementations. To allow for such fully digital…

Information Theory · Computer Science 2018-12-27 Amine Mezghani , Robert W. Heath
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