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This paper presents the development of a joint optimization of an automatic gain control (AGC) algorithm and a linear \textit{minimum mean square error} (MMSE) receiver for multi-user multiple input multiple output (MU-MIMO) systems with…

Information Theory · Computer Science 2018-10-30 T. Cunha , R. C. de Lamare

This paper considers the channel estimation problem for massive multiple-input multiple-output (MIMO) systems that use one-bit analog-to-digital converters (ADCs). Previous channel estimation techniques for massive MIMO using one-bit ADCs…

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

In this paper, we propose an energy-efficient radar beampattern design framework for a Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) system, equipped with a hybrid analog-digital (HAD) beamforming structure. Aiming to…

Signal Processing · Electrical Eng. & Systems 2021-06-11 Zhaoyi Xu , Fan Liu , Konstantinos Diamantaras , Christos Masouros , Athina Petropulu

Designing Doppler-resilient unimodular discrete phase-coded waveforms (DPWs) with low delay-Doppler sidelobes is critical for multiple-input multiple-output (MIMO) radar. Existing block coordinate descent (BCD) methods suffer from high…

Signal Processing · Electrical Eng. & Systems 2026-04-29 Junpeng Ma , Yuke Li , Junbo Wang , Yongxing Zhou

Analog/digital hybrid precoder and combiner have been widely used in millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems due to its energy-efficient and economic superiorities. Infinite resolution of phase shifters (PSs)…

Information Theory · Computer Science 2017-04-27 Zihuan Wang , Ming Li , Xiaowen Tian , Qian Liu

Channel estimation at millimeter wave (mmWave) is challenging when large antenna arrays are used. Prior work has leveraged the sparse nature of mmWave channels via compressed sensing based algorithms for channel estimation. Most of these…

Information Theory · Computer Science 2018-06-19 Nitin Jonathan Myers , Robert W. Heath

Analog-to-digtial (A/D) conversion plays a crucial role when it comes to the design of energy-efficient and fast signal processing systems. As its complexity grows exponentially with the number of output bits, significant savings are…

Information Theory · Computer Science 2017-03-08 Manuel S. Stein

Energy-efficient signal processing systems require estimation methods operating on data collected with low-complexity devices. Using analog-to-digital converters (ADC) with $1$-bit amplitude resolution has been identified as a possible…

Information Theory · Computer Science 2015-11-18 Lin Zhang , Manuel Stein , Josef A. Nossek

Recently proposed multiple input multiple output radars based on matrix completion (MIMO-MC) employ sparse sampling to reduce the amount of data that need to be forwarded to the radar fusion center, and as such enable savings in…

Information Theory · Computer Science 2016-08-24 Bo Li , Athina P. Petropulu , Wade Trappe

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

Millimeter wave (mmWave) communications has been regarded as a key enabling technology for 5G networks. In contrast to conventional multiple-input-multiple-output (MIMO) systems, precoding in mmWave MIMO cannot be performed entirely at…

Information Theory · Computer Science 2016-05-04 Xianghao Yu , Juei-Chin Shen , Jun Zhang , Khaled B. Letaief

Millimeter wave (mmWave) band, or high frequencies such as THz, has large undeveloped band of spectrum. However, wireless channels over the mmWave band usually have one or two paths only due to the severe attenuation. The channel property…

Information Theory · Computer Science 2020-04-14 Xi Yang , Chao-Kai Wen , Shi Jin

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter (CSIT) and receiver. This paper presents initial results on codebook design and performance analysis for…

Information Theory · Computer Science 2015-12-22 Jianhua Mo , Robert W. Heath

We consider general multi-antenna fading channels with coarsely quantized outputs, where the channel is unknown to the transmitter and receiver. This analysis is of interest in the context of sensor network communication where low power and…

Information Theory · Computer Science 2010-10-28 Amine Mezghani , Josef A. Nossek

In this paper, we consider the problem of joint transceiver design for millimeter wave (mmWave)/Terahertz (THz) multi-user MIMO integrated sensing and communication (ISAC) systems. Such a problem is formulated into a nonconvex optimization…

Information Theory · Computer Science 2024-02-01 Peilan Wang , Jun Fang , Xianlong Zeng , Zhi Chen , Hongbin Li

Massive MIMO systems are moving toward increased numbers of radio frequency chains, higher carrier frequencies and larger bandwidths. As such, digital-to-analog converters (DACs) are becoming a bottleneck in terms of hardware complexity and…

Systems and Control · Electrical Eng. & Systems 2025-07-16 Thomas Feys , Liesbet Van der Perre , François Rottenberg

This letter considers the architecture of distributed antenna system, which is made up of a massive number of single-antenna remote radio heads (RRHs), some with full-resolution but others with low-resolution analog-to-digital converter…

Information Theory · Computer Science 2017-05-16 Jide Yuan , Shi Jin , Chao-Kai Wen , Kai-Kit Wong

Detection for one-bit massive MIMO systems presents several challenges especially for higher order constellations. Recent advances in both model-based analysis and deep learning frameworks have resulted in several robust one-bit detector…

Signal Processing · Electrical Eng. & Systems 2023-05-30 Aditya Sant , Bhaskar D. Rao

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

Resistive random-access memory (RRAM) provides an excellent platform for analog matrix computing (AMC), enabling both matrix-vector multiplication (MVM) and the solution of matrix equations through open-loop and closed-loop circuit…

Signal Processing · Electrical Eng. & Systems 2025-12-05 Pushen Zuo , Zhong Sun
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