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A fully-digital wideband joint communication-radar (JCR) with a multiple-input-multiple-output (MIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and radar performance with enhanced design…

Signal Processing · Electrical Eng. & Systems 2020-06-25 Preeti Kumari , Amine Mezghani , Robert W. Heath,

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

The uplink performance of massive multiple-input-multiple-output (MIMO) systems where the base stations (BS) employ low-resolution analog-to-digital converters (ADCs) is analyzed. A high performance MMSE receiver that takes both additive…

Signal Processing · Electrical Eng. & Systems 2017-11-30 Chao Wei , Zaichen Zhang

The wide bandwidth and large number of antennas used in millimeter wave systems put a heavy burden on the power consumption at the receiver. In this paper, using an additive quantization noise model, the effect of analog-digital conversion…

Information Theory · Computer Science 2016-11-18 Oner Orhan , Elza Erkip , Sundeep Rangan

In this letter, we focus on designing constant-modulus waveform with discrete phases for the multi-input multi-output (MIMO) radar, where the signal-to-interference-plus-noise ratio (SINR) is maximized in the presence of both the…

Signal Processing · Electrical Eng. & Systems 2018-06-15 Chenglin Ren , Zhaohui Ma , Fan Liu , Weichao Pi , Jianming Zhou

Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. Unfortunately, low-resolution…

Signal Processing · Electrical Eng. & Systems 2020-11-09 Ly V. Nguyen , Duy H. N. Nguyen , A. Lee Swindlehurst

One way to reduce the power consumption in large-scale multiple-input multiple-output (MIMO) systems is to employ low-resolution analog-to-digital converters (ADCs). In this paper, we investigate antenna selection for large-scale MIMO…

Information Theory · Computer Science 2019-04-23 Jinseok Choi , Junmo Sung , Brian L. Evans , Alan Gatherer

Large-scale deployment of connected vehicles with cooperative awareness technologies increases the demand for vehicle-to-everything (V2X) communication spectrum in 5.9 GHz that is mainly allocated for the exchange of safety messages. To…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Ceyhun D. Ozkaptan , Eylem Ekici , Chang-Heng Wang , Onur Altintas

In large-scale antenna systems, using one-bit analog-to-digital converters (ADCs) has recently become important since they offer significant reductions in both power and cost. However, in contrast to high-resolution ADCs, the coarse…

Information Theory · Computer Science 2022-07-19 In-soo Kim , Namyoon Lee , Junil Choi

The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates. To address the synchronous and asynchronous interference mitigation problems in similar radar systems, we first…

Signal Processing · Electrical Eng. & Systems 2022-08-10 Arindam Bose , Bo Tang , Wenjie Huang , Mojtaba Soltanalian , Jian Li

This paper considers uplink massive MIMO systems with 1-bit analog-to-digital converters (ADCs) and develops a deep-learning based channel estimation framework. In this framework, the prior channel estimation observations and deep neural…

Information Theory · Computer Science 2020-05-11 Yu Zhang , Muhammad Alrabeiah , Ahmed Alkhateeb

In this paper, we propose a learning-based detection framework for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters. The learning-based detection only requires counting the…

Signal Processing · Electrical Eng. & Systems 2024-03-25 Yunseong Cho , Jinseok Choi , Brian L. Evans

Intelligent reflecting surface (IRS) technology has recently attracted a significant interest in non-light-of-sight radar remote sensing. Prior works have largely focused on designing single IRS beamformers for this problem. For the first…

Information Theory · Computer Science 2023-03-14 Zahra Esmaeilbeig , Arian Eamaz , Kumar Vijay Mishra , Mojtaba Soltanalian

In this work we consider a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, which senses multiple spatial directions and serves multiple users. Upon resorting to an orthogonal frequency division…

Signal Processing · Electrical Eng. & Systems 2022-03-09 Jeremy Johnston , Luca Venturino , Emanuele Grossi , Marco Lops , Xiaodong Wang

The practical deployment of massive multiple-input multiple-output (MIMO) in future fifth generation (5G) wireless communication systems is challenging due to its high hardware cost and power consumption. One promising solution to address…

Information Theory · Computer Science 2017-03-13 Jiayi Zhang , Linglong Dai , Ziyan He , Shi Jin , Xu Li

A potential tremendous spectrum resource makes millimeter wave (mmWave) communications a promising technology. High power consumption due to a large number of antennas and analog-to-digital converters (ADCs) for beamforming to overcome the…

Information Theory · Computer Science 2017-10-31 Junmo Sung , 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 2018-07-04 Kilian Roth , Hessam Pirzadeh , A. Lee Swindlehurst , Josef A. Nossek

The focus of this study is on the spectrum sharing between multiple-input multiple-output (MIMO) communications and co-located MIMO radar systems in multi-path environments. The major challenge is to suppress the mutual interference between…

Information Theory · Computer Science 2023-04-11 Haoyu Zhang , Li Chen , Kaifeng Han , Yunfei Chen , Guo Wei

In this work, we investigate dynamic oversampling techniques for large-scale multiple-antenna systems equipped with low-cost and low-power 1-bit analog-to-digital converters at the base stations. To compensate for the performance loss…

Information Theory · Computer Science 2021-03-02 Z. Shao , L. Landau , R. de Lamare

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption…

Information Theory · Computer Science 2020-02-19 Ali Bulut Üçüncü , Emil Björnson , Håkan Johansson , Erik G. Larsson , Ali Özgür Yılmaz