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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

Dual-function radar-communication (DFRC) is a key enabler of location-based services for next-generation communication systems. In this paper, we investigate the problem of designing constant modulus multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2025-12-23 Byunghyun Lee , Anindya Bijoy Das , David Love , Christopher Brinton , James Krogmeier

Target detection is an important problem in multiple-input multiple-output (MIMO) radar. Many existing target detection algorithms were proposed without taking into consideration the quantization error caused by analog-to-digital converters…

Signal Processing · Electrical Eng. & Systems 2021-05-21 Yu-Hang Xiao , David Ramírez , Peter J. Schreier , Cheng Qian , Lei Huang

We consider the problem of jointly optimizing ADC bit resolution and analog beamforming over a frequency-selective massive MIMO uplink. We build upon a popular model to incorporate the impact of low bit resolution ADCs, that hitherto has…

Signal Processing · Electrical Eng. & Systems 2019-02-28 Narayan Prasad , Xiao-Feng Qi , Alan Gatherer

Hybrid analog-digital precoding architectures and low-resolution analog-to-digital converter (ADC) receivers are two solutions to reduce hardware cost and power consumption for millimeter wave (mmWave) multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2018-07-04 Hengtao He , Chao-Kai Wen , Shi Jin

Nowadays, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems is a favorable candidate for the fifth generation (5G) cellular systems. However, a key challenge is the high power consumption imposed by its numerous…

Information Theory · Computer Science 2018-03-21 Jiayi Zhang , Lnglong Dai , Xu Li , Ying Liu , Lajos Hanzo

This paper addresses robust waveform design for multiple-input-multiple-output (MIMO) radar detection. A probabilistic model is proposed to describe the target uncertainty. Considering that waveform design based on maximizing the…

Signal Processing · Electrical Eng. & Systems 2022-04-12 Xuyang Wang , Bo Tang , Ming Zhang

Hybrid beamforming is considered a key enabler to realize millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications due to its capability of considerably reducing the number of costly and power-hungry radio frequency…

Signal Processing · Electrical Eng. & Systems 2021-08-25 Mengyuan Ma , Nhan Thanh Nguyen , Markku Juntti

The growing demand for efficient delivery of common content to multiple user equipments (UEs) has motivated significant research in physical-layer multicasting. By exploiting the beamforming capabilities of massive MIMO, multicasting…

Signal Processing · Electrical Eng. & Systems 2025-11-11 Mahmoud Zaher , Emil Björnson

Analog to digital converters (ADCs) are a major contributor to the power consumption of multiple-input multiple-output (MIMO) receivers in large bandwidth millimeter-wave systems. Prior works have considered two mitigating solutions to…

Information Theory · Computer Science 2025-02-25 Marian Temprana Alonso , Xuyang Liu , Hamidreza Aghasi , Farhad Shirani

Hybrid analog and digital beamforming transceivers are instrumental in addressing the challenge of expensive hardware and high training overheads in the next generation millimeter-wave (mm-Wave) massive MIMO (multiple-input multiple-output)…

Signal Processing · Electrical Eng. & Systems 2022-01-04 Ahmet M. Elbir , Kumar Vijay Mishra , M. R. Bhavani Shankar , Björn Ottersten

High power consumption and expensive hardware are two bottlenecks for practical massive multiple-input multiple-output (mMIMO) systems. One promising solution is to employ low-resolution analog-to-digital converters (ADCs) and…

Information Theory · Computer Science 2018-09-11 Jiayi Zhang , Linglong Dai , Ziyan He , Bo Ai , Octavia A. Dobre

Controlling the radar beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) radars. In this paper, we investigate the joint optimization…

Signal Processing · Electrical Eng. & Systems 2022-08-10 Arindam Bose , Shahin Khobahi , Mojtaba Soltanalian

Deploying massive number of antennas at the base station side can boost the cellular system performance dramatically. Meanwhile, it however involves significant additional radio-frequency (RF) front-end complexity, hardware cost and power…

Information Theory · Computer Science 2018-05-09 Zhiyuan Jiang , Sheng Zhou , Zhisheng Niu

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

This paper investigates the transmit beamforming design for multiple-input multiple-output systems to support both multi-target localization and multi-user communications. To enhance the target localization performance, we derive the…

Signal Processing · Electrical Eng. & Systems 2025-01-14 Bo Tang , Da Li , Wenjun Wu , Astha Saini , Prabhu Babu , Petre Stoica

Hybrid beamforming for frequency-selective channels is a challenging problem as the phase shifters provide the same phase shift to all of the subcarriers. The existing approaches solely rely on the channel's frequency response and the…

Information Theory · Computer Science 2019-03-13 Sohail Payami , Mathini Sellathurai , Konstantinos Nikitopoulos

Hybrid analog and digital (HAD) beamforming has been recently receiving considerable deserved attention for a practical implementation on the large-scale antenna systems. As compared to full digital beamforming, partial-connected HAD…

Information Theory · Computer Science 2018-11-06 Mohammed A. Almagboul , Feng Shu , Yaolu Qin , Xiaobo Zhou , Jin Wang , Yuwen Qian , Kingsley Jun Zou

We develop a broadband channel estimation algorithm for millimeter wave (mmWave) multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters (ADCs). Our methodology exploits the joint sparsity of the mmWave MIMO…

Information Theory · Computer Science 2017-12-07 Jianhua Mo , Philip Schniter , Robert W. Heath

This paper investigated the uplink of multi-user massive multi-input multi-output (MIMO) systems with a mixed analog-to-digital converter (ADC) receiver architecture, in which some antennas are equipped with costly full-resolution ADCs and…

Information Theory · Computer Science 2016-08-02 Weiqiang Tan , Shi Jin , Chaokai Wen , Yindi Jing