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相关论文: Twenty-Five Years of Advances in Beamforming: From…

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Beamforming is a signal processing technique. It has been studied in many areas such as radar, sonar, seismology and wireless communications, to name but a few. It can be used for a myriad of purposes, such as detecting the presence of a…

其他计算机科学 · 计算机科学 2012-12-27 Hidri Adel , Meddeb Souad , Abdulqadir Alaqeeli , Amiri Hamid

Beamforming is a signal processing technique where an array of antenna elements can be steered to transmit and receive radio signals in a specific direction. The usage of millimeter wave (mmWave) frequencies and multiple input multiple…

Classical beamforming techniques rely on highly linear transmitters and receivers to allow phase-coherent combining at the transmitter and receiver. The transmitter uses beamforming to steer signal power towards the receiver, and the…

信息论 · 计算机科学 2018-02-15 Kang Gao , J. Nicholas Laneman , Bertrand Hochwald

Beamforming techniques are utilized in millimeter wave (mmWave) communication to address the inherent path loss limitation, thereby establishing and maintaining reliable connections. However, adopting standard defined beamforming approach…

网络与互联网体系结构 · 计算机科学 2025-09-16 Muhammad Baqer Mollah , Honggang Wang , Hua Fang

Broadband beamforming is a technique to obtain the signal with a wide range of frequencies. It maintains the signal integrity and spatial selectivity over frequencies. This is important in several applications such as microphone array,…

信号处理 · 电气工程与系统科学 2020-03-03 Phan Le Son

Transmit beamforming is a versatile technique for signal transmission from an array of $N$ antennas to one or multiple users [1]. In wireless communications, the goal is to increase the signal power at the intended user and reduce…

信息论 · 计算机科学 2014-07-22 Emil Björnson , Mats Bengtsson , Björn Ottersten

Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and ultra-low-latency reconfiguration. However, the effort so far has purely focused on learning…

Machine learning algorithms have recently been considered for many tasks in the field of wireless communications. Previously, we have proposed the use of a deep fully convolutional neural network (CNN) for receiver processing and shown it…

信号处理 · 电气工程与系统科学 2022-07-13 Janne M. J. Huttunen , Dani Korpi , Mikko Honkala

Beamforming and precoding/combining are techniques aimed at processing multiantenna signals at the transmitter and/or at the receiver of a wireless communication system. While they have been routinely used to improve performance in current…

信号处理 · 电气工程与系统科学 2020-04-13 Donatella Darsena , Giacinto Gelli , Francesco Verde

Beamforming is central to the processing function of all phased arrays and becomes particularly challenging with a large number of antenna element (e.g. >100,000). The ability to beamform efficiently with reasonable power requirements is…

天体物理仪器与方法 · 物理学 2010-08-25 A J Faulkner , K Zarb Adami , J. G. Bij de Vaate , G. W. Kant , P. Pickard

Audio zooming, a signal processing technique, enables selective focusing and enhancement of sound signals from a specified region, attenuating others. While traditional beamforming and neural beamforming techniques, centered on creating a…

音频与语音处理 · 电气工程与系统科学 2023-11-23 Meng Yu , Dong Yu

Beamforming technique realized by the multiple-input-multiple-output (MIMO) antenna arrays has been widely used to compensate for the severe path loss in the millimeter wave (mmWave) bands. In 5G NR system, the beam sweeping and beam…

信号处理 · 电气工程与系统科学 2022-09-07 Yongjun Ahn , Jinhong Kim , Seungnyun Kim , Kyuhong Shim , Jiyoung Kim , Sangtae Kim , Byonghyo Shim

Transmit beamforming for underwater acoustic communication is challenging because it requires perfect knowledge of the channel to the receiver in advance. In practice, channel estimates must be learned through feedback and are often noisy…

信号处理 · 电气工程与系统科学 2026-05-15 Diego A. Cuji , Andrew C. Singer , Milica Stojanovic

Beamforming techniques are considered as essential parts to compensate severe path losses in millimeter-wave (mmWave) communications. In particular, these techniques adopt large antenna arrays and formulate narrow beams to obtain…

网络与互联网体系结构 · 计算机科学 2025-04-09 Muhammad Baqer Mollah , Honggang Wang , Mohammad Ataul Karim , Hua Fang

Meeting the high data rate demands of modern applications necessitates the utilization of high-frequency spectrum bands, including millimeter-wave and sub-terahertz bands. However, these frequencies require precise alignment of narrow…

信息论 · 计算机科学 2024-12-05 Sachira Karunasena , Erfan Khordad , Thomas Drummond , Rajitha Senanayake

In today's ever-connected world, the demand for fast and widespread connectivity is insatiable, making multibeam satellite systems an indispensable pillar of modern telecommunications infrastructure. However, the evolving communication…

Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information from cameras, LiDAR, radar, and GPS. In this paper, we…

信号处理 · 电气工程与系统科学 2023-09-22 Yu Tian , Qiyang Zhao , Zine el abidine Kherroubi , Fouzi Boukhalfa , Kebin Wu , Faouzi Bader

The pervasive nature of wireless telecommunication has made it the foundation for mainstream technologies like automation, smart vehicles, virtual reality, and unmanned aerial vehicles. As these technologies experience widespread adoption…

Multicast beamforming is a promising technique for multicast communication. Providing an efficient and powerful beamforming design algorithm is a crucial issue because multicast beamforming problems such as a max-min-fair problem are…

信息论 · 计算机科学 2020-04-21 Satoshi Takabe , Tadashi Wadayama

Beamforming-capable antenna arrays with many elements enable higher data rates in next generation 5G and 6G networks. In current practice, analog beamforming uses a codebook of pre-configured beams with each of them radiating towards a…

机器学习 · 计算机科学 2025-12-08 Alexander Mattick , George Yammine , Georgios Kontes , Setareh Maghsudi , Christopher Mutschler
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