Search results for "internet"

showing 10 items of 2589 documents

Design and implementation of a long-range low-power wake-up radio for IoT devices

2019

In this paper, we present the design and implementation of an on-demand wake-up radio (WuR) for long-range wireless IoT devices to reduce the power consumption, thereby increasing the life time of the devices. A custom narrow-band (NB) low noise amplifier is designed and implemented for WuR. The low-noise amplifier achieves a gain of 31 dB at 1 mA current consumption from a 6 V power supply. The WuR achieves a sensivity of -80 dBm by consuming just 1 mA, thereby optimizing the energy consumption of battery powered long-range IoT devices, hence reducing the power consumption and overall costs when deployed in large scale.

Battery (electricity)business.industryComputer scienceAmplifier010401 analytical chemistrydBmElectrical engineering020206 networking & telecommunications02 engineering and technologyEnergy consumption01 natural sciencesLow-noise amplifier0104 chemical sciencesPower (physics)Range (aeronautics)0202 electrical engineering electronic engineering information engineeringWirelessbusinessInternet of Things2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
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Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels

2020

Underlay device-to-device (D2D) communications lead to improvement in spectral efficiency by simultaneously allowing direct communication between the users and the existing cellular transmission. However, most works in resource allocation for D2D communication have considered single antenna transmission and with a focus on perfect channel state information (CSI). This work formulates a robust transmit beamforming design problem for maximizing the aggregate rate of all D2D pairs and cellular users (CUs). Assuming complex Gaussian distributed CSI error, our formulation guarantees probabilistically a signal to interference plus noise ratio (SINR) above a specified threshold. In addition, we al…

BeamformingMathematical optimizationComputer scienceProbabilistic logicSignal-to-interference-plus-noise ratio020302 automobile design & engineering020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologySpectral efficiency0203 mechanical engineeringChannel state informationRobustness (computer science)Computer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringResource allocationUnderlayVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science::Information Theory2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework

2020

Robust beamforming is an efficient technique to guarantee the desired receiver performance in the presence of erroneous channel state information (CSI). However, the application of robust beamforming in underlay device-to-device (D2D) communication still requires further investigation. In this paper, we investigate resource allocation problem for underlay D2D communications by considering multiple antennas at the base station (BS) and at the transmitters of D2D pairs. The proposed design problem aims at maximizing the aggregate rate of all D2D pairs and cellular users (CUs) in downlink spectrum. In addition, our objective is augmented to achieve a fair allocation of resources across the D2D…

BeamformingMathematical optimizationOptimization problemComputer scienceChannel state informationTelecommunications linkComputer Science::Networking and Internet ArchitectureSignal-to-interference-plus-noise ratioData_CODINGANDINFORMATIONTHEORYRelaxation (approximation)UnderlayComputer Science::Information TheorySlack variableICC 2020 - 2020 IEEE International Conference on Communications (ICC)
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Relay selection in FDD amplify-and-forward cooperative networks

2017

In this paper, the problems of relay selection and distributed beamforming are investigated for bi-directional dual-hop amplify-and-forward frequency-division duplex cooperative wireless networks. When using individual per-relay maximum transmission power constraint, it has been proven that the relay selection and beamforming optimization problem becomes NP hard and requires exhaustive search to find the optimal solution. Therefore, we propose a computationally affordable sub-optimal multiple relay selection and beamforming optimization scheme based on the l1 norm squared relaxation. The proposed scheme performs the selection for the two transmission directions, simultaneously, while aiming…

BeamformingOptimizationMathematical optimizationOptimization problemComputer scienceDuplex (telecommunications)02 engineering and technologyData_CODINGANDINFORMATIONTHEORY01 natural scienceslaw.inventionL1 normRelaylawBi-directional communicationBeamformingComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringAmplify and forward0101 mathematicsRelayingComputer Science::Information TheoryWireless network010102 general mathematicsComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsSemidefinite relaxation
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Clustering-Assisted 3D Beamforming for Throughput Maximization in mmWave Networks

2021

Beamforming schemes have been widely used to improve network throughput in 5G mmWave networks. However, 3D beamforming schemes have hereto not been investigated in this context. In this work, a cluster-assisted 3D beamforming scheme is proposed to optimize the downtilt angle for network coverage and throughput maximization. User Equipment (UEs) are clustered based on inter-user and the inter-cluster distances. The interference is accounted from the adjacent clusters and thus frequency resources can be assigned to the non-adjacent clusters. Optimal downtilt angles are obtained for every cluster to maximize the throughput while considering the interference from adjacent clusters. 3D beam patt…

BeamformingUser equipmentComputer scienceComputer Science::Networking and Internet ArchitectureContext (language use)ThroughputMaximal-ratio combiningInterference (wave propagation)Cluster analysisAlgorithm5GComputer Science::Information Theory2021 IEEE International Conference on Communications Workshops (ICC Workshops)
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Coordination in a multi-cell multi-antenna multi-user W-CDMA system: a beamforming approach

2008

The problem of designing joint power control and optimal beamforming (JPCOB) algorithms for the downlink of a coordinated multi-cell WCDMA system is considered throughout this paper. In this case, the JPCOB design is formulated as the problem of minimizing the total transmitted power in the coordinated multi-cell system, subject to a certain quality of service requirement for each user. In this paper, the performance of two JPCOB algorithms based on different beamforming approaches is compared over the coordinated multi-cell system. The first one, obtains local beamformers by means of the well-known virtual uplink-downlink duality. In contrast, the second algorithm implements multi-base bea…

BeamformingWSDMAComputer scienceCode division multiple accessApplied MathematicsReal-time computingEqualizerData_CODINGANDINFORMATIONTHEORYInterference (wave propagation)Computer Science ApplicationsSpread spectrumTelecomunicacióBase stationAsynchronous communicationTelecommunications linkComputer Science::Networking and Internet ArchitectureSistemes multimèdiaAlgorithm designElectrical and Electronic EngineeringAntenna (radio)Power controlComputer Science::Information Theory
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Social network and addiction.

2009

In recent decades, the rapid development of innovative Internet-based communication technologies created a new field of academic study among scholars. Particularly, the attention of researchers is focusing on new ways to form relationship-thought social web. Social Network sites constitute a new form of web communities, where people meet and share interests and activities. Due to exponential growth of these sites, an increasing number of scholars are beginning to study the emergent phenomena in order to identify any psychopathological risk related to use of social web, such as addiction. This article examines the recent literature about this issue. In recent decades, the rapid development o…

Behavior AddictiveInternetSocial Network Addiction PersonalitySettore M-PSI/08 - Psicologia ClinicaSocial NetworkAddictionHumansSocial SupportSettore MED/25 - PsichiatriaPersonalityStudies in health technology and informatics
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Local E-Government in Norway

2005

BenchmarkingVDP::Social science: 200::Political science and organizational theory: 240::Public and private administration: 242Internet in public administrationVDP::Technology: 500::Information and communication technology: 550
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Can google trends and wikipedia help traditional surveillance? A pilot study on measles

2019

Introduction: Cases of measles in some European countries are increasing. The aim of this study is to find the correlation between Google Trends and Wikipedia searches and the real number of cases notified. Materials and Methods: The data on Internet searches have been obtained from Google Trends and Wikipedia. The reported cases of measles were selected from January 2013 until December 2018 for Google Trends and July 2015 until December 2018 from for Wikipedia. We have selected data from four European Countries: Italy, France, Germany and Romania. The data extracted from Wikipedia and Google Trends have been moved over time (Lag), one month in the future and one month in the past. Cross-co…

Big DataInternetRomaniaMedical Informatics ComputingVaccine-preventable diseases Italy Germany France Romania Measles vaccine Big Data Internet Measles Medical Informatics Computing Medical InformaticsPilot ProjectsEuropevaccine-preventable diseasesItalyGermanyHumansOriginal ArticleFranceMeasles vaccineMedical InformaticsMeasles
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Digital epidemiology: assessment of measles infection through Google Trends mechanism in Italy.

2019

Introduction. The primary aim of this study is to evaluate the temporal correlation between Google Trends and the data on measles infection arising from the conventional surveillance system, reported by the Istituto Superiore di Sanità's (ISS) bulletin. Moreover, this study is also aimed at forecasting the trends of the reported infectious diseases cases over time. Materials and Methods. The reported cases of measles were selected from January 2013 until October 2018. The data on Internet searches have been obtained from Google Trends; the research data referred to the first 48 weeks of year 2017 have been aggregated on a weekly basis. The search volume provided by Google Trends has a relat…

Big DataInternetTime FactorsDatabases FactualMedical Informatics ComputingMeasles VaccineMedical InformaticSearch EngineEpidemiologic StudiesItalyMeasleVaccine-preventable diseasesPopulation SurveillanceHumansPublic HealthEpidemiologic MethodsMeaslesAnnali di igiene : medicina preventiva e di comunita
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