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This paper optimizes the beamforming design of a downlink multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system to maximize the weighted communication sum-rate under a prescribed transmit covariance…

Signal Processing · Electrical Eng. & Systems 2023-09-18 Chenhao Yang , Xin Wang , Wei Ni , Yi Jiang

This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference and spectrally contested-congested environments. To ensure the desired…

Signal Processing · Electrical Eng. & Systems 2022-04-06 Jing Yang , Augusto Aubry , Antonio De Maio , Xianxiang Yu , Guolong Cui

In traditional multiple-input multiple-output (MIMO) communication systems, the antenna spacing is often no smaller than half a wavelength. However, by exploiting the coupling between more closely-spaced antennas, a superdirective array may…

Signal Processing · Electrical Eng. & Systems 2024-08-28 Yali Zhang , Haifan Yin , Liangcheng Han

In this paper, we studied the problem of beam alignment for millimeter wave (mmWave) communications, in which we assume a hybrid analog and digital beamforming structure is employed at the transmitter (i.e. base station), and an…

Information Theory · Computer Science 2019-09-04 Xingjian Li , Jun Fang , Huiping Duan , Zhi Chen , Hongbin Li

Increasing the number of transmit and receive elements in multiple-input-multiple-output (MIMO) antenna arrays imposes a substantial increase in hardware and computational costs. We mitigate this problem by employing a reconfigurable MIMO…

Signal Processing · Electrical Eng. & Systems 2020-04-22 Hamed Nosrati , Elias Aboutanios , David Smith

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

Two-dimensional (2D) fully-addressed arrays can conveniently realize three-dimensional (3D) ultrasound imaging while fully controlled such arrays usually demands thousands of independent channels, which is costly. Sparse array technique…

Signal Processing · Electrical Eng. & Systems 2025-11-27 Xi Zhang , Miguel Bernal , Wei-Ning Lee

A new method for the design of linear-phase robust far-field broadband beamformers using constrained optimization is proposed. In the method, the maximum passband ripple and minimum stopband attenuation are ensured to be within prescribed…

Systems and Control · Computer Science 2015-06-18 R. C. Nongpiur , D. J. Shpak

Compressive sensing is the newly emerging method in information technology that could impact array beamforming and the associated engineering applications. However, practical measurements are inevitably polluted by noise from external…

Information Theory · Computer Science 2013-07-12 Siyang Zhong , Xun Huang

Medium-scale or large-scale receive antenna array with digital beamforming can be employed at receiver to make a significant interference reduction, but leads to expensive cost and high complexity of the RF-chain circuit. To deal with this…

Information Theory · Computer Science 2018-06-01 Linlin Sun , Yaolu Qin , Feng Shu , Riqing Chen , Yijin Zhang , Shuping Yang , Jinhui Lu , Jun Li , Jiangzhou Wang

In millimeter wave (mmWave) communication systems, beamforming with large antenna arrays is critical to overcome high path losses. Separating all-digital beamforming into analog and digital stages can provide the large reduction in power…

Information Theory · Computer Science 2019-09-24 Junmo Sung , Brian L. Evans

In this paper, we investigate the design of secure transmission frameworks with an intelligent reflecting surface (IRS). Our design aims to minimize the system energy consumption in cases of rank-one and full-rank access point (AP)-IRS…

Information Theory · Computer Science 2019-09-04 Biqian Feng , Yongpeng Wu , Mengfan Zheng

Group sparse beamforming is a general framework to minimize the network power consumption for cloud radio access networks (Cloud-RANs), which, however, suffers high computational complexity. In particular, a complex optimization problem…

Information Theory · Computer Science 2017-11-21 Yuanming Shi , Jun Zhang , Wei Chen , Khaled B. Letaief

In this letter, we consider the multiple-input multiple-output (MIMO) radar waveform design in the presence of signal-dependent clutters and additive white Gaussian noise. By imposing the constant modulus constraint (CMC) and waveform…

Signal Processing · Electrical Eng. & Systems 2018-05-11 Chenglin Ren , Fan liu , Longfei Zhou , Jianming Zhou , Wu Luo , Shengzhi Yang

In this paper, we consider a dual-hop Multiple Input Multiple Output (MIMO) relay wireless network, in which a source-destination pair both equipped with multiple antennas communicates through a large number of half-duplex…

Networking and Internet Architecture · Computer Science 2013-02-07 Yu Zhang , Hanwen Luo , Wen Chen

We propose a new approach for metric learning by framing it as learning a sparse combination of locally discriminative metrics that are inexpensive to generate from the training data. This flexible framework allows us to naturally derive…

Machine Learning · Computer Science 2019-01-25 Yuan Shi , Aurélien Bellet , Fei Sha

A wireless network serving multiple users in the millimeter-wave or the sub-terahertz band by a base station is considered. High-throughput multi-user hybrid-transmit beamforming is conceived by maximizing the minimum rate of the users. For…

Information Theory · Computer Science 2023-10-27 W. Zhu , H. D. Tuan , E. Dutkiewicz , H. V. Poor , L. Hanzo

Rydberg atomic quantum receivers have been seen as novel radio frequency measurements and the high sensitivity to a large range of frequencies makes it attractive for communications reception. However, current implementations of Rydberg…

Signal Processing · Electrical Eng. & Systems 2025-11-21 Hao Wu , Shanchi Wu , Xinyuan Yao , Rui Ni , Chen Gong

This paper presents a novel optimization framework for beamforming design in integrated sensing and communication systems where a base station seeks to minimize the Bayesian Cram\'er-Rao bound of a sensing problem while satisfying quality…

Information Theory · Computer Science 2024-04-23 Kareem M. Attiah , Wei Yu

We investigate hybrid beamforming design for covert millimeter wave multiple-input multiple-output systems with finite-resolution digital-to-analog converters (DACs), which impose practical hardware constraints not yet considered by the…

Information Theory · Computer Science 2024-11-28 Wei Ci , Chenhao Qi , Xiaohu You