English
Related papers

Related papers: Uplink Data Detection Analysis of 1-Bit Quantized …

200 papers

In this paper, we investigate learning-based maximum likelihood (ML) detection for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters (ADCs). To overcome the significant dependency of…

Information Theory · Computer Science 2019-08-27 Jinseok Choi , Yunseong Cho , Brian L. Evans , Alan Gatherer

In this article, deep learning is applied to estimate the uplink channels for mixed analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO) systems, where a portion of antennas are equipped with high-resolution…

Information Theory · Computer Science 2019-08-20 Shen Gao , Peihao Dong , Zhiwen Pan , Geoffrey Ye Li

This paper considers an uplink multiuser massive multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs), in which K users with a single-antenna communicate with one base station (BS) with Nr…

Information Theory · Computer Science 2017-04-12 Song-Nam Hong , Seonho Kim , Namyoon Lee

This article presents a differential detection scheme for the uplink of a massive MIMO system that employs one-bit quantizers on each receive antenna. We focus on the detection of differential amplitude and phase shift keying symbols and we…

Signal Processing · Electrical Eng. & Systems 2021-10-28 Don-Roberts Emenonye , Carl Dietrich , R. Michael Buehrer

We study a downlink multi-user multiple-input single-output (MU-MISO) system in which the base station (BS) has a large number of antennas with cost-effective one-bit digital-to-analog converters (DACs). In this system, we first identify…

Information Theory · Computer Science 2019-01-24 Gyu-Jeong Park , Song-Nam Hong

We study an uplink multiuser multiple-input multiple-output (MU-MIMO) system with one-bit analog-to-digital converters (ADCs). For such system, a supervised-learning (SL) detector has been recently proposed by modeling a non-linear…

Information Theory · Computer Science 2019-02-05 Seonho Kim , Song-Nam Hong

Large-scale multiple-antenna systems with large bandwidth are fundamental for future wireless communications, where the base station employs a large antenna array. In this scenario, one problem faced is the large energy consumption as the…

Information Theory · Computer Science 2020-05-19 Z. Shao , L. Landau , R. C. de Lamare

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

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

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

We consider the problem of channel estimation for uplink multiuser massive MIMO systems, where, in order to significantly reduce the hardware cost and power consumption, one-bit analog-to-digital converters (ADCs) are used at the base…

Information Theory · Computer Science 2017-04-18 Feiyu Wang , Jun Fang , Hongbin Li , Shaoqian Li

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

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

Advances in analog-to-digital converter (ADC) technology have opened up the possibility to directly digitize wideband radio frequency (RF) signals, avoiding the need for analog down-conversion. In this work, we consider an orthogonal…

Information Theory · Computer Science 2019-07-17 Sven Jacobsson , Lise Aabel , Mikael Coldrey , Ibrahim Can Sezgin , Christian Fager , Giuseppe Durisi , Christoph Studer

We investigate the information-theoretic throughout achievable on a fading communication link when the receiver is equipped with one-bit analog-to-digital converters (ADCs). The analysis is conducted for the setting where neither the…

Information Theory · Computer Science 2015-05-06 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

The spatial Sigma-Delta ($\Sigma\Delta$) architecture can be leveraged to reduce the quantization noise and enhance the effective resolution of few-bit analog-to-digital converters (ADCs) at certain spatial frequencies of interest.…

Signal Processing · Electrical Eng. & Systems 2025-09-22 Toan-Van Nguyen , Sajjad Nassirpour , Italo Atzeni , Antti Tolli , A. Lee Swindlehurst , Duy H. N. Nguyen

In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first…

Information Theory · Computer Science 2019-04-30 Yang Li , Zezhong Zhang , Rui Wang , Kaibin Huang , Yifan Chen

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

This paper considers signal detection in massive multiple-input multiple-output (MIMO) systems with general additive hardware impairments and one-bit quantization. First, we present the quantization-unaware and Bussgang decomposition-based…

Signal Processing · Electrical Eng. & Systems 2020-02-06 Özlem Tugfe Demir , Emil Björnson

Next-generation wireless communication systems are unifying large-scale multiple-input multiple-output (MIMO) and integrated sensing and communication (ISAC) to enhance sensing and communication performance. In this paper, the signal…

Information Theory · Computer Science 2026-04-22 Jian Wang , Qiqiang Chen , Zheng Wang , Fan Liu , Yili Xia , Yongming Huang , Chau Yuen