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共 2083 条记录，以下是1281-1290 订阅

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Environment Mapping Using Wireless Channel State Information and Deep Learning

Environment Mapping Using Wireless Channel State Information...

引用

international conference on Signal Processing and communication systems, ICSPCS

作者： Adrian Donarski Iain Collings Stephen Hanly Communications Signals Processing Group Defence Science and Technology Group Edinburgh Australia School of Engineering Macquarie University Macquarie Park Australia

ISBN: (数字)9781728199726

ISBN: (纸本)9781728199733

this paper uses wireless Channel State Information (CSI) and deep learning for obtaining situational awareness through environment mapping. Algorithms are developed that permit estimation of interior room dimensions using wireless Single-Input Single-Output (SISO) Channel Impulse Responses (CIRs). the impact of signal received power, and signal bandwidth, on the ability to predict room dimensions is further investigated. Under such CIR limitations, room dimension estimation accuracy of greater than 90% is achieved using Recurrent Neural networks (RNNs) with a maximum predictive error of 0.5m. this demonstrates that existing consumer wireless systems with similar physical constraints, may be capable of accurately estimating room dimensions given multiple CIR measurements from multiple receiver locations.

关键词： Wireless communication Receivers Estimation Neural networks Bandwidth Transmitters Prediction algorithms

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Hybrid precoding using projection-aided block diagonalization for mmWave MU-MIMO systems 14

Hybrid precoding using projection-aided block diagonalizatio...

引用

14th IEEE Malaysia international conference on communication, MICC 2019

作者： Cho, Minjung Lee, Hyukyeon Oh, Kyeongmook Kim, Jaeseok Yonsei University Department of Electrical and Electronic Engineering Seoul Korea Republic of

ISBN: (数字)9781728147376

ISBN: (纸本)9781728147376

For next generation wireless networks, hybrid precoding has overcome high path-loss issue in millimeter wave (mmWave) multi-user multiple-input multiple-output (MU-MIMO) communication system. In this paper, we propose a fully connected hybrid precoding scheme for downlink mmWave MU-MIMO systems. In the first step, we design the unconstrained fully digital precoder. To eliminate inter-user-interference (IUI), we use projection matrices on the users' null spaces with employing the information about the angle of departure (AoD). In the second step, we calculate the baseband precoder and radio frequency (RF) precoder through matrix decomposition (MD) of the unconstrained precoder. While the proposed algorithm reduces the dominant computational complexity by approximately 30%, the total sum rate of the simulation is close to 99% as compared with iterative matrix decomposition (IMD-) aided block-diagonalization (BD) algorithm. In addition, the proposed hybrid precoder shows a good performance in a multi-streams environment, and outperforms the traditional BD based scheme by the sum rate of approximately 50%. © 2019 IEEE.

关键词： Millimeter waves

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Random Matrix Approach for the Capacity of Large-Scale MIMO systems using the Harish-Chandra Formula

Random Matrix Approach for the Capacity of Large-Scale MIMO ...

引用

international conference on Signal Processing and communication systems, ICSPCS

作者： Marco Bertola Ayman Assra Concordia University Montreal QC Canada Area of Mathematics SISSA Italy

ISBN: (数字)9781728199726

ISBN: (纸本)9781728199733

the future communication networks tend to be denser and the use of large number of antennas becomes an attractive feature in 5G systems. However, the analysis and design of such networks become more challenging as engineers find a difficulty to deal with the scalability problem. that is it is not trivial to define the precise achievable rate region as the number of network terminals and bandwidth size increase (i.e., mmWave communications). However, it has been noticed that the macroscopic view of the network can provide a useful abstraction. As the system gets larger, the macroscopic view can ease the network optimization solution and provide attractive engineering insights. To this end, random matrix theory (RMT) has been used to model the interaction complexity between multiple terminals in multi-antenna systems, where it can provide the asymptotic behaviour of the eigenvalue distributions of the products and sums of matrices. In this paper, we present a random matrix approach to derive the capacity of multi-antenna systems over Rayleigh fading channels. We also study the impact of channel correlation on the capacity of multiple-input multiple-output (MIMO) systems.

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Optimized resource and power allocation for sum rate maximization in D2D-assisted caching networks 14

Optimized resource and power allocation for sum rate maximiz...

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14th international conference on Computer Engineering and systems, ICCES 2019

作者： Ali, A.S. Naguib, K.M. Mahmoud, K.R. Communication and Computers Faculty of Engineering Helwan Univ. Department of Electronics Cairo Egypt Department of Electrical Systems Engineering Giza Egypt

ISBN: (纸本)9781728152608

Device-to-Device (D2D) communication has become a promising technology to enhance the performance of cellular networks. the major challenge for resource sharing in D2D networks lies in the co-interference between cellular users and the originated D2D connections. In addition, power allocation for D2D connections and cellular users sharing the same spectrum is also a problem for these networks. In D2D caching networks, caching contents at users' devices can significantly reduce large network headaches. this becomes a promising solution for controlling limited resources. Maximizing the cached portions delivered to users using D2D communications requires combined consideration for guaranteed D2D channels and their allocated power. In this paper, a joint optimization problem of caching content caching delivery with resource and power allocation awareness to improve the performance of D2D caching networks is presented. We aim to enhance the performance of such networks by maximizing the overall sum rate of D2D and cellular users. An optimization problem for sum rate is formulated under the constraint of power requirements and Signal-to-Interference plus Noise Ratio (SINR). the proposed optimization problem will be solved using an optimization algorithm by jointly optimize channel and power allocation. the simulation results show that the performance of the optimal scenario with effectively selecting suitable locality ratio and D2D power optimization can lead to valuable gains in the sum rate. © 2019 IEEE.

关键词： Signal to noise ratio

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An enhanced machine larning based threat hunter an intelligent network intrusion detection system 14

An enhanced machine larning based threat hunter an intellige...

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14th international conference on Computer Engineering and systems, ICCES 2019

作者： Hasan, Sayed Salah Ahmed Mohamed, Hussein Abdel Atty Elsayed Bahaa-Eldin, Ayman M. Ain Shams University Electronics and Communications Department Cairo Egypt Misr International University Ain Shams University Cairo Egypt

ISBN: (纸本)9781728152608

In network security, there are many applications and techniques that can be used to maintain targets of high-level security such as confidentiality, integrity, availability, and nonrepudiation for safe communication between different sources. this can be done by supporting networks with security systems to thwart any chances of exploitations by any attacker. Intrusion Detection System (IDS) is one of the major systems as it is capable of monitoring all network traffics (ingoing and outgoing) and performs some analysis and inspection to evaluate the behavior of such traffics. IDS can block all suspicious activities that are trying to breach any network based on policies that are demanded by a system administrator. Traditional IDS has some limits and does not provide a complete solution for some kind of problems. IDS searches for potential abnormal activities on the network traffic and sometimes succeeds to find some vulnerability which may result in compromising the network. We, therefore, suggest an efficient application in this paper of Machine Learning (ML) based IDS. © 2019 IEEE.

关键词： Network security

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Visual Analysis of Information Dissemination Channels in Social Network for Protection Against Inappropriate Content 3rd

Visual Analysis of Information Dissemination Channels in Soc...

引用

3rd international Scientific conference on Intelligent Information Technologies for Industry (IITI)

作者： Pronoza, Anton Vitkova, Lidia Chechulin, Andrey Kotenko, Igor Russian Acad Sci St Petersburg Inst Informat & Automat 14th Liniya 39 St Petersburg 199178 Russia

ISBN: (纸本)9783030018214

the paper presents an approach to a visual analysis of links in social networks for obtaining information on channels of inappropriate information dissemination. the offered approach is based on the formation of the knowledge base about communication between users and groups, interactive display of propagation paths of inappropriate information and the visual analysis of the received results to detect sources and repeaters of inappropriate information. the interconnections of users and groups in social networks allow the construction of connectivity graphs, and the facts of the transmission of inappropriate information through these channels provide an opportunity to identify the ways of malicious content dissemination. the results of experiments confirming the applicability of the proposed approach are outlined.

关键词： Social network Visualization Protection against information Inappropriate information communication graph Visual analytics

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the approach to building a graph knowledge base using social media data

The approach to building a graph knowledge base using social...

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international conference on Application of Information and communication Technologies (AICT)

作者： Vadim Moshkin Faculty of Information Systems and Technologies Ulyanovsk State Technical University UlSTU Ulyanovsk Russia

ISBN: (数字)9781728173863

ISBN: (纸本)9781728173870

the aim of the work was to develop a model of a knowledge base of an information system that collects information from various social networks. the model should improve search efficiency and facilitate the unification of data from heterogeneous sources. the work presents an ontological model for the unification of data profiles of different social networks. this model avoids data redundancy by including contextual information in annotations to ontology relations. In addition, an approach to information retrieval using syntagmatic patterns in the formation of a database tree of posts of social network users is proposed. the article also presents the results of experiments with data from the social network Facebook confirming the effectiveness of the proposed models and algorithms.

关键词： Social networking (online) Databases Knowledge based systems Semantics Redundancy Ontologies Data models

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Multi-Transmitter Physical Layer Authentication Using Channel State Information and Deep Learning

Multi-Transmitter Physical Layer Authentication Using Channe...

引用

international conference on Signal Processing and communication systems, ICSPCS

作者： Ken St. Germain Frank Kragh Naval Postgraduate School Monterey CA

ISBN: (数字)9781728199726

ISBN: (纸本)9781728199733

Efficient authentication across wireless devices improves the security of the overall network and can be accomplished at the physical layer. By stratifying privilege levels for different devices, security is further improved. We propose the use of machine learning and received multiple-input multiple-output communications channel information to identify trusted transmitters. Our approach uses received channel state information at various signal to noise levels from multiple transmitters to train a deep neural network to make an authentication decision. We show that an adversarially-trained classifier network can correctly differentiate among transmitters using very few labeled samples from a greater dataset.

关键词： Authentication Training Gallium nitride Physical layer Generative adversarial networks Wireless communication Data models

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An efficient method for resource allocation and user pairing in downlink non-orthogonal multiple access system 14

An efficient method for resource allocation and user pairing...

引用

14th IEEE Malaysia international conference on communication, MICC 2019

作者： Ali, Zuhura J. Noordin, Nor K. Sali, Aduwati Hashim, Fazirulhisyam Balfaqih, Mohammed Upm Department of Computer and Communication Systems Engineering Serdang Selangor Malaysia Department of Computer and Network Engineering University of Jeddah Jeddah Saudi Arabia South Ural State University Department of Automobile Transportation Chelyabinsk Russia

ISBN: (纸本)9781728147376

Non-orthogonal multiple access (NOMA) provides a significant impact on meeting high capacity achievements of the fifth generation (5G) wireless cellular systems. In NOMA, an efficient resource allocation is essential to achieve high performance. In this study, we solve power allocation and user pairing problems of a downlink NOMA system by proposing a novel method called (NOMA-PKKT-HNG) that maximizes system sum rate. the power allocation problem is identified as non-convex constrained problem. therefore, we derive the closed form solutions of the optimal Power allocation using Karush-Kuhn-Tucker (PKKT) conditions. Moreover, the Hungarian (HNG) algorithm is proposed to pair two users that have different channel conditions. the findings indicate that, when the number of users is 20, the proposed method achieves higher sum rate by 6.7% compared to Difference of Convex (DC) method. the NOMA system with the proposed method can be considered for future 5G networks to achieve high system sum rate performance. © 2019 IEEE.

关键词： 5G mobile communication systems

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Biotechnical System for Control to the Exoskeleton Limb Based on Surface Myosignals for Rehabilitation Complexes

Biotechnical System for Control to the Exoskeleton Limb Base...

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international conference on Application of Information and communication Technologies (AICT)

作者： A A Trifonov A A Kuzmin S A Filist S V Degtyarev E V Petrunina South-West State University Kursk Russia Moscow State University of Humanities and Economics Moscow Russia

ISBN: (数字)9781728173863

ISBN: (纸本)9781728173870

the aim of the study is to develop a biotechnical system of the rehabilitation type, designed to restore the motor activity of the patient's muscles through biotechnical and biological feedback. the obtained classification models of surface signals of electromyograms can be used to create intelligent rehabilitation systems for patients with neurological diseases and will allow the development of diagnostic test stimulation programs that can be used to create artificial biological feedback. this will provide new predictors of the risk of socially significant diseases.

关键词： Solid modeling Exoskeletons Virtual reality Muscles Control systems Electromyography Biological neural networks

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