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Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter and receiver. This paper presents codebook designs and performance analyses for limited feedback MIMO…

Information Theory · Computer Science 2017-04-17 Jianhua Mo , Robert W. Heath

This paper considers training-based transmissions in massive multi-input multi-output (MIMO) systems with one-bit analog-to-digital converters (ADCs). We assume that each coherent transmission block consists of a pilot training stage and a…

Information Theory · Computer Science 2016-08-22 Yongzhi Li , Cheng Tao , Liu Liu , Amine Mezghani , A. Lee Swindlehurst

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from previous works…

Information Theory · Computer Science 2016-11-18 Ning Liang , Wenyi Zhang

Massive multiple-input multiple-output (MIMO) can improve the overall system performance significantly. Massive MIMO systems, however, may require a large number of radio frequency (RF) chains that could cause high cost and power…

Information Theory · Computer Science 2022-06-28 Hwanjin Kim , Junil Choi

In the cell-free massive multiple-input multiple-output (CF mMIMO) system, the centralized transmission scheme is widely adopted to manage the inter-user interference. Unfortunately, its implementation is limited by the extensive signaling…

Signal Processing · Electrical Eng. & Systems 2022-08-02 Hongkang Yu , Xinquan Ye , Yijian Chen

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

Signal processing in wireless communications, such as precoding, detection, and channel estimation, are basically about solving inverse matrix problems, which, however, are slow and inefficient in conventional digital computers, thus…

Signal Processing · Electrical Eng. & Systems 2022-11-08 Pushen Zuo , Zhong Sun , Ru Huang

For speech-related applications in IoT environments, identifying effective methods to handle interference noises and compress the amount of data in transmissions is essential to achieve high-quality services. In this study, we propose a…

Audio and Speech Processing · Electrical Eng. & Systems 2021-06-08 You-Jin Li , Syu-Siang Wang , Yu Tsao , Borching Su

Precoding with block diagonalization is an attractive scheme for approaching sum capacity in multiuser multiple input multiple output (MIMO) broadcast channels. This method requires either global channel state information at every receiver…

Information Theory · Computer Science 2007-07-13 Seijoon Shim , Chan-Byoung Chae , Robert W. Heath

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

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

Cell-free massive MIMO (CF-M-MIMO) systems represent an evolution of the classical cellular architecture that has dominated the mobile landscape for decades. In CF-M-MIMO, a central processing unit (CPU) controls a multitude of access…

Signal Processing · Electrical Eng. & Systems 2019-09-27 Felip Riera-Palou , Guillem Femenias

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

This letter proposes the Faster-than-Nyquist signaling (FTNS) using overlap frequency domain equalization (FDE), which compensates the inter-symbol interference (ISI) due to band limiting filters of the FTNS at the transmitter and the…

Information Theory · Computer Science 2015-09-03 Hiroyuki Fukumoto , Kazunori Hayashi

In the uplink of a cell-free massive MIMO system, quantization affects performance in two key domains: the time-domain distortion introduced by finite-resolution analog-to-digital converters (ADCs) at the access points (APs), and the…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Özlem Tuğfe Demir , Emil Björnson

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

By processing in the frequency domain (FD), massive MIMO systems can approach the theoretical per-user capacity using a single carrier modulation (SCM) waveform with a cyclic prefix. Minimum mean squared error (MMSE) detection and zero…

Signal Processing · Electrical Eng. & Systems 2021-03-16 Brent A. Kenney , Arslan J. Majid , Hussein Moradi , Behrouz Farhang-Boroujeny

Feeding power amplifiers (PAs) with constant envelope (CE) signals is an effective way to reduce the power consumption in massive multiple-input-multiple-output (MIMO) systems. The nonlinear distortion caused by CE signaling must be…

Signal Processing · Electrical Eng. & Systems 2024-11-06 Ferhad Askerbeyli , Wen Xu , Josef A. Nossek

In this paper, we consider a $n_t\times n_r$ multiple-input multiple-output (MIMO) channel subjected to block fading. Reliability (in terms of achieved diversity order) and rate (in number of symbols transmitted per channel use) are of…

Information Theory · Computer Science 2011-03-25 Biswajit Dutta , Somsubhra Barik , A. Chockalingam

We propose finite-alphabet equalization, a new paradigm that restricts the entries of the spatial equalization matrix to low-resolution numbers, enabling high-throughput, low-power, and low-cost hardware equalizers. To minimize the…

Information Theory · Computer Science 2020-09-08 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Tom Goldstein , Christoph Studer
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