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arXiv 2020年

作者： Al-Obiedollah, Haitham Cumanan, Kanapathippillai Thiyagalingam, Jeyarajan Tang, Jie Burr, Alister G. Ding, Zhiguo Dobre, Octavia A. Electrical Engineering Department Hashemite University Zarqa Jordan Department of Electronic Engineering University of York YorkYO10 5DD United Kingdom Scientific Computing Department of Rutherford Appleton Laboratory Science and Technology Facilities Council Harwell Campus Oxford United Kingdom School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering Memorial University St. JohnsNLA1B 3X5 Canada

Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two performance metrics have been considered in isolation, resulting in severe performance degradation in either of these metrics. Motivated by this problem, in this paper, we propose a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system. In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good trade-off between the two performance metrics. However, this MOO problem is not mathematically tractable and, thus, it is difficult to determine a feasible solution due to the conflicting objectives, where both need to be simultaneously optimized. To overcome this issue, we exploit a priori articulation scheme combined with the weighted sum approach. Using this, we reformulate the original MOO problem as a conventional single objective optimization (SOO) problem. In doing so, we develop an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique. Simulation results are provided to demonstrate the advantages and effectiveness of the proposed approach over the available beamforming designs. Copyright © 2020, The Authors. All rights reserved.

关键词： Beamforming

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ETHER: A 6G Architectural Framework for 3D Multi-Layered Networks

ETHER: A 6G Architectural Framework for 3D Multi-Layered Net...

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IEEE Conference on Wireless Communications and Networking

作者： K. Ntontin L. Tomaszewski J. A. Ruiz-de-Azua A. Cárdenas R. Pueyo Centelles C.-K. Lin A. Mesodiakaki A. Antonopoulos N. Pappas M. Fiore S. Aguilar S. Watts P. Harris A. R. Santiago F. Lazarakis M. Calisti S. Chatzinotas SnT University of Luxembourg Luxembourg Orange Polska S.A. Warszawa Poland i2CAT Foundation Barcelona Spain Collins Aerospace Penrose Wharf Business Centre Cork Ireland Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Nearby Computing Barcelona Spain Dept. of Computer and Information Science Linköping University Sweden Net AI Scotland UK Sateliot Barcelona Spain Avanti Communications London UK Ubiwhere Aveiro Portugal National Centre for Scientific Research “Demokritos” Agia Paraskevi Greece Martel Innovate Dübendorf Switzerland

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Due to the fact that large swathes on Earth still lack broadband communication coverage, especially in remote/rural areas and developing countries, there have been several attempts, starting from 3GPP Release 17, to lay out the architectural amendments needed for the integration of terrestrial networks with their non-terrestrial counterparts. Such attempts have led to recent projects regarding such integration that consider either 5G/5G-Advanced networks or more revolutionary approaches for the forthcoming 6G networks. In this manuscript, we give an overview of the architectural framework, technical innovations, and considered use cases of the Horizon Europe ETHER project.

关键词： 6G mobile communication Earth Technological innovation Three-dimensional displays Europe Developing countries Broadband communication

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Quantum-statistical transport phenomena in memristive computing architectures

arXiv

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arXiv 2019年

作者： Singh, Christopher N. Crafton, Brian A. West, Mathew P. Weidenbach, Alex S. Butler, Keith T. MacDonald, Allan H. Raychowdury, Arjit Vogel, Eric M. Alan Doolittle, W. Piper, L.F.J. Lee, Wei-Cheng Department of Physics Applied Physics and Astronomy Binghamton University BinghamtonNY13902 United States Materials Science and Technology Division Los Alamos National Laboratory Los AlamosNM87545 United States Department of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States SciML Scientific Computing Department Rutherford Appleton Laboratory DidcotOX110QX United Kingdom Department of Physics University of Texas at Austin AustinTX78712-1081 United States WMG University of Warwick CoventryCV4 7AL United Kingdom

The advent of reliable, nanoscale memristive components is promising for next generation compute-in-memory paradigms, however, the intrinsic variability in these devices has prevented widespread adoption. Here we show coherent electron wave functions play a pivotal role in the nanoscale transport properties of these emerging, non-volatile memories. By characterizing both filamentary and non-filamentary memristive devices as disordered Anderson systems, the switching characteristics and intrinsic variability arise directly from the universality of electron transport in disordered media. Our framework suggests localization phenomena in nanoscale, solid-state memristive systems are directly linked to circuit level performance. We discuss how quantum conductance fluctuations in the active layer set a lower bound on device variability. This finding implies there is a fundamental quantum limit on the reliability of memristive devices, and electron coherence will play a decisive role in surpassing or maintaining Moore’s Law with these systems. Copyright © 2019, The Authors. All rights reserved.

关键词： Memristors

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Exploring low internal reorganization energies for silicene nanoclusters

arXiv

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arXiv 2017年

作者： Pablo-Pedro, Ricardo Lopez-Rios, Hector Mendoza-Cortes, Jose-L Kong, Jing Fomine, Serguei van Voorhis, Troy Dresselhaus, Mildred S. Department of Chemistry Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Instituto de Investigaciones en Materiales Universidad Nacional Autónoma de México Apartado Postal 70-360 CU Coyoacán Ciudad de México04510 Mexico Department of Chemical & Biomedical Engineering Florida A&M University Florida State University Joint College of Engineering Tallahassee FL32310 United States Scientific Computing Department Materials Science and Engineering Program High Performance Material Institute Condensed Matter Theory National High Magnetic Field Laboratory Florida State University TallahasseeFL32310 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States

High-performance materials rely on small reorganization energies to facilitate both charge separation and charge transport. Here, we performed DFT calculations to predict small reorganization energies of rectangular silicene nanoclusters with hydrogen-passivated edges denoted by H-SiNC. We observe that across all geometries, H-SiNCs feature large electron affinities and highly stabilized anionic states, indicating their potential as n-type materials. Our findings suggest that fine-tuning the size of H-SiNCs along the "zigzag" and "armchair" directions may permit the design of novel n-type electronic materials and spinctronics devices that incorporate both high electron affinities and very low internal reorganization energies. Copyright © 2017, The Authors. All rights reserved.

关键词： Silicene

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Exploring Low Internal Reorganization Energies for Silicene Nanoclusters

arXiv

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arXiv 2017年

关键词： Silicene

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Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations

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ACM Transactions on Parallel computing 1000年

作者： Hussam Al Daas Grey Ballard Laura Grigori Suraj Kumar Kathryn Rouse Mathieu Verite STFC Scientific Computing Department Rutherford Appleton Laboratory Didcot United Kingdom of Great Britain and Northern Ireland Computer Science Wake Forest University Winston-Salem United States Institute of Mathematics EPFL Lausanne Switzerland PSI Center for Scientific Computing Theory and Data Villigen Switzerland Institut national de recherche en sciences et technologies du numérique Lyon France Inmar Intelligence Winston-Salem United States

In this article, we focus on the communication costs of three symmetric matrix computations: i) multiplying a matrix with its transpose, known as a symmetric rank-k update (SYRK) ii) adding the result of the multiplication of a matrix with the transpose of another matrix and the transpose of that result, known as a symmetric rank-2k update (SYR2K) iii) performing matrix multiplication with a symmetric input matrix (SYMM). All three computations appear in the Level 3 Basic Linear Algebra Subroutines (BLAS) and have wide use in applications involving symmetric matrices. We establish communication lower bounds for these kernels using sequential and distributed-memory parallel computational models, and we show that our bounds are tight by presenting communication-optimal algorithms for each setting. Our lower bound proofs rely on applying a geometric inequality for symmetric computations and analytically solving constrained nonlinear optimization problems. The symmetric matrix and its corresponding computations are accessed and performed according to a triangular block partitioning scheme in the optimal algorithms.

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Exploiting deep learning for secure transmission in an underlay cognitive radio network

arXiv

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arXiv 2021年

作者： Zhang, Miao Cumanan, Kanapathippillai Thiyagalingam, Jeyarajan Tang, Yanqun Wang, Wei Ding, Zhiguo Dobre, Octavia A. School of Information Science and Engineering Chongqing Jiaotong University Chongqing China Department of Electronic Engineering University of York YorkYO10 5DD United Kingdom Scientific Computing Department of Rutherford Appleton Laboratory Science and Technology Facilities Council Harwell Campus Ditcot United Kingdom School of Electronics and Communication Engineering Sun Yat-Sen University Shenzhen510006 China School of Information Science and Technology Nantong University Nantong China Nantong Research Institute for Advanced Communication Technologies Nantong China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Department of Electrical and Computer Engineering Memorial University St. John’sNLA1B 3X5 Canada

This paper investigates a machine learning-based power allocation design for secure transmission in a cognitive radio (CR) network. In particular, a neural network (NN)based approach is proposed to maximize the secrecy rate of the secondary receiver under the constraints of total transmit power of secondary transmitter, and the interference leakage to the primary receiver, within which three different regularization schemes are developed. The key advantage of the proposed algorithm over conventional approaches is the capability to solve the power allocation problem with both perfect and imperfect channel state information. In a conventional setting, two completely different optimization frameworks have to be designed, namely the robust and non-robust designs. Furthermore, conventional algorithms are often based on iterative techniques, and hence, they require a considerable number of iterations, rendering them less suitable in future wireless networks where there are very stringent delay constraints. To meet the unprecedented requirements of future ultra-reliable low-latency networks, we propose an NN-based approach that can determine the power allocation in a CR network with significantly reduced computational time and complexity. As this trained NN only requires a small number of linear operations to yield the required power allocations, the approach can also be extended to different delay sensitive applications and services in future wireless networks. When evaluate the proposed method versus conventional approaches, using a suitable test set, the proposed approach can achieve more than 94% of the secrecy rate performance with less than 1% computation time and more than 93% satisfaction of interference leakage constraints. These results are obtained with significant reduction in computational time, which we believe that it is suitable for future real-time wireless applications. © 2021, CC0.

关键词： Cognitive radio

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Correction to: Expression of Concern to: Comparative Study of Soft computing Methodologies for Energy Input–Output Analysis to Predict Potato Production

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American Journal of Potato Research 2018年第1期96卷 94-94页

作者： Hamedani, Sara Rajabi Liaqat, Misbah Shamshirband, Shahaboddin Al-Razgan, Othman Saleh Al-Shammari, Eiman Tamah Petković, Dalibor Department of Agricultural Science Payame Noor University Tehran Iran Department of Computer System and Information Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Kuwait Institute for Scientific Research (KISR) Kuwait City Kuwait Department of Information Science College of Computing Sciences and Engineering Kuwait University Kuwait City Kuwait Faculty of Mechanical Engineering Department for Mechatronics University of Niš Niš Serbia

The Editor-in-Chief of American Journal of Potato Research is issuing an editorial expression of concern to alert readers that this article shows substantial indication of irregularities in authorship during the submi...

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Jamming and force distribution in growing epithelial tissue

arXiv

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arXiv 2020年

作者： Madhikar, Pranav Åström, Jan Baumeier, Björn Karttunen, Mikko Department of Mathematics and Computer Science Institute for Complex Molecular Systems Eindhoven University of Technology Eindhoven5600 MB Netherlands CSC Scientific Computing Ltd Kägelstranden 14 Esbo02150 Finland Department of Chemistry The University of Western Ontario 1151 Richmond Street LondonONN6A5B7 Canada Department of Applied Mathematics The University of Western Ontario 1151 Richmond Street LondonONN6A5B7 Canada The Centre for Advanced Materials and Biomaterials Research The University of Western Ontario 1151 Richmond Street LondonONN6A3K7 Canada

We investigate morphologies of proliferating cellular tissues using a newly developed numerical simulation model for mechanical cell division and migration in 2D. The model is applied to a bimodal mixture consisting of stiff cells with a low growth potential and soft cells with a high growth potential;cancer cells are typically considered to be softer than healthy cells. In an even mixture, the soft cells develop into a tissue matrix and the stiff cells into a dendrite-like network structure. When soft cells are placed inside a tissue consisting of stiff cells (to model cancer growth), the soft cells develop to a fast growing tumor-like structure that gradually evacuates the stiff cell matrix. The model also demonstrates 1) how soft cells orient themselves in the direction of the largest effective stiffness as predicted by the theory of Bischofs and Schwarz (Proc. Natl. Acad. Sci U.S.A., 100, 9274-9279 (2003) and 2) that the orientation and force generation continue a few cell rows behind the soft-stiff interface. With increasing inter-cell friction, tumor growth slows down and cell death occurs. The contact force distribution between cells is demonstrated to be highly sensitive to cell type mixtures and cell-cell interactions, which indicates that local mechanical forces can be useful as a regulator of tissue formation. The results shed new light on established experimental data. Copyright © 2020, The Authors. All rights reserved.

关键词： Mixtures

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Design decision support system for the engineering/re-engineering of complex naval systems

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NAVAL ENGINEERS JOURNAL 1997年第4期109卷 23-33页

作者： Graham, JH Ragade, RK Shea, J James H. Graham:is the Henry Vogt Professor of computer science and engineering at the University of Louisville. Previous professional employment includes positions at Rensselaer Polytechnic Institute and General Motors Corporation. He received his master's and doctoral degrees at Purdue University and his bachelor's degree at Rose-Hulman Institute of Ethnology. His research interests include artificial intelligence robotics and paraliel computing. Rammohan K. Ragade:is professor of engineering mathematics and computer science at the University of Louisville. He received his Ph.D. from the Indian Institute of Technology at Kampur in 1968. He has been a faculty member at the University of Waterloo and held an engineering position with Bell Northern Research. His research interests include human-computer interaction decision support systems object-oriented simulation and modeling distributed database systems and fuzzy logic. John G. Shea Jr.:served until 1995 as a project manager in the Phalanx Engineering Section of Naval Surface Warfare Center Crane Division Louisville Station. He received his bachelor's and master's degrees from the Speed Scientific School at the University of Louisville. He was a member of the American Society of Naval Engineers.

Hybrid simulation includes both functional computer software models and actual hardware subsystems operating as an integrated whole. A ''hot test bed'' or a ''hybrid simulator-emulator'' enables design engineers to evaluate conceptual models in a more realistic real-lime context, but places increased cognitive demands on the designer. This paper describes an architecture, and results from a prototype implementation, for a design decision support system to allow a designer to make more productive and cost effective use of a test bed system.

关键词： Decision support systems

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