Millimeter wave beamforming receivers using a Si-based OBFN for 5G wireless communication systems

Han, Sarang; Ji, Soonbae; Kang, Inseok; Kim, Sung Chul; You, Cheolwoo

doi:10.1016/j.optcom.2018.08.031

Cited by 9 publications

(10 citation statements)

References 12 publications

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“…As a spatial filtering method, beamforming has attracted wide attention in the past years due to its importance to radar [1], wireless communication [2], sonar [3], medical imaging [4], astronomy [5], and mapping [6]. The data received by each array element in conventional beamforming (CBF) is delayed and summed up to achieve different gains for signals from different orientations.…”

Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Robust Adaptive Beamforming Using Support Vector Machines

et al. 2020

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A robust adaptive beamformer based on the support vector machines is proposed to solve the rapid degradation of the performance of minimum variance distortionless response beamformer when the steering vector is mismatched. The proposed beamformer assumes that the angle error range in the steering vector can be estimated; the array only responds within this range, and the array response outside the angle error range is considered as the abnormal response. The proposed method is expressed in the form of support vector regression, and Vapnik's  -insensitive quadratic loss function which can improve the robustness of beamformer is used as a regular term to punish the abnormal response. The assumption that the array only responds within a certain angle range reflects the sparsity of support vector regression and improves the ability of the algorithm against steering vector mismatch because the energy conservation theorem holds that the response is large. The regular term ensures that a deep null exists in the direction of interference, the interference can be effectively suppressed. The iterative reweighted least square procedure can converge to the real solution of the SVM regression problem and is easy to calculate; thus, it is used to solve the algorithm proposed in this study. The effectiveness of the algorithm is verified through computer simulations.

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Section: Introductionmentioning

confidence: 99%

Notice of Violation of IEEE Publication Principles: Robust Adaptive Beamforming Using Support Vector Machines

et al. 2020

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“…The technology is called Massive MIMO. The large number of antennas mean more signal interference which will be corrected using the Beamforming technology [438] which is a traffic-signaling system for the cellular base station which optimizes the data-delivery route to a particular user. Finally, for multiple communication at the frequency full duplexing is being looked into.…”

Section: Nonintrusive Data-driven Modelingmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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“…Finally, in terms of theoretical contributions, previous research on 5G photonic technologies has mostly focused on technological discussion [4,14,17] or market development research [3,16,18]. However, these researchers were unable to identify the major technological areas, technological development trends, and network distributions between 5G photonic technology domains.…”

Section: Discussionmentioning

confidence: 99%

“…Preliminary discussions have been conducted with regard to the use of 5G photonic technology [4,14,15]. Because next-generation (5G) wireless communication systems require the high-speed processing of considerable amounts of data and a wider bandwidth, bandwidth has become increasingly important; transmission technologies require a substantial number of antennas [14]. Photonic technology is the key technology for the future of 5G.…”

Section: Introductionmentioning

confidence: 99%

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Revealing Development Trends and Key 5G Photonic Technologies Using Patent Analysis

Chang¹

2019

Applied Sciences

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In recent years, 5G photonic technology has gradually gained increased attention from scholars. However, studies on 5G photonic technology have mostly focused on technological discussions or market development research, but have failed to identify the relevant key technologies from a comprehensive perspective. In particular, 5G photonic technology is an interdisciplinary technology that could create considerable potential business opportunities in the future, therefore, identifying related key technologies is crucial. Accordingly, the patents of 5G photonic technologies were used as the basis for analysis in this study, and a patent technology network for such technologies was constructed using network analysis. The results showed that the key technologies of 5G photonic technology are mainly related to optics, nanostructures, semiconductors, and material analysis, indicating an interdisciplinary feature instead of focusing only on one specific technological field. Additionally, the relevant technologies that have seen active development in recent years are mainly related to optical elements and semiconductor devices. Finally, a patentee analysis demonstrated that information technology companies were the key players in the development of 5G photonic technologies, and the semiconductor industry will have a crucial role in the development of such technologies. In this study, a patent technology network model was constructed to explore the development trend of 5G photonic technologies, thereby providing a reference for the government to promote these emerging technologies.

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Millimeter wave beamforming receivers using a Si-based OBFN for 5G wireless communication systems

Cited by 9 publications

References 12 publications

Notice of Violation of IEEE Publication Principles: Robust Adaptive Beamforming Using Support Vector Machines

Notice of Violation of IEEE Publication Principles: Robust Adaptive Beamforming Using Support Vector Machines

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Revealing Development Trends and Key 5G Photonic Technologies Using Patent Analysis

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