Search results for "User equipment"

showing 9 items of 19 documents

Energy-Efficient Protocol Design

2015

Recent studies have shown that the total energy consumed by the Internet has followed an increasing trend over the years. A considerable part of this energy is wasted due to an inefficient utilization of edge devices , that is, Personal Computers (PCs) and other user equipment in homes and offices. PCs are often left on even when they are not used (e.g., overnight or during weekends), while other edge devices, such as printers, IP phones, and displays, are typically kept always on , especially in public buildings. A number of solutions have been proposed for eliminating, or reducing, energy wastes caused by edge devices. In this chapter, we propose a general taxonomy for their classificatio…

Power-aware ProtocolsPower managementEdge devicebusiness.industryComputer sciencePower Management On-demand Wake-up Magic Packet Proxying Network Connectivity Proxy Context-aware Power Management Power-aware ProtocolsMagic PacketEnergy consumptionOn-demand Wake-upProxyingUser equipmentPower ManagementTaxonomy (general)Network Connectivity ProxyContext-aware Power ManagementThe InternetbusinessEnergy (signal processing)Computer networkEfficient energy use
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A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing

2019

Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption of user equipment (UE). However, the task of selecting an optimal set of components to offload considering the amount of data transfer as well as the latency in communication is a complex problem. In this paper, we propose a novel energy-efficient deep learning based offloading scheme (EEDOS) to train a deep learning based smart decision-making algorithm that selects an optimal set of application components based on remaining energy of UEs, energy consumption by applicati…

QA75General Computer ScienceComputer scienceDistributed computingenergy efficient offloading02 engineering and technologyVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 42001 natural sciencesuser equipmentComputational offloadingServer0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Mobile edge computingbusiness.industryDeep learning010401 analytical chemistryGeneral Engineeringdeep learning020206 networking & telecommunicationsEnergy consumption0104 chemical sciencesUser equipmentArtificial intelligencemobile edge computinglcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971Efficient energy useIEEE Access
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Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds

2016

In order to fully enjoy high rate broadband multimedia services, prolonging the battery lifetime of user equipment is critical for mobile users, especially for smartphone users. In this paper, the problem of distributing cellular data via a wireless power transfer enabled collaborative mobile cloud (WeCMC) in an energy efficient manner is investigated. WeCMC is formed by a group of users who have both functionalities of information decoding and energy harvesting, and are interested for cooperating in downloading content from the operators. Through device-to-device communications, the users inside WeCMC are able to cooperate during the downloading procedure and offload data from the base sta…

ScheduleenergiatehokkuusComputer Networks and CommunicationsComputer sciencewireless power transfer02 engineering and technology7. Clean energyBase station0203 mechanical engineeringresources allocation0202 electrical engineering electronic engineering information engineeringWirelessResource managementElectrical and Electronic Engineeringenergy efficiencyta113collaborative mobile cloudscontent distributionta213business.industryQuality of service020206 networking & telecommunications020302 automobile design & engineeringEnergy consumptionUser equipmentMobile telephonybusinessComputer networkEfficient energy useIEEE Journal on Selected Areas in Communications
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Increasing the performance of HSDPA with high-speed single frequency network

2012

High Speed Single Frequency Network (HS-SFN) is a multi-cell transmission scheme for High-Speed Downlink Packet Access (HSDPA) that can assist user equipment (UEs) in the softer handover area by combining signals from two neighbouring cells and at the same time by reducing the inter-cell interference. This article analyzes performance of HS-SFN for macro cell scenario under different channels with different type of schedulers by means of extensive system level simulations. The results indicate that HS-SFN can increase throughput for UEs in softer handover area from 40% to 80% without decreasing the overall performance.

Transmission (telecommunications)HandoverUser equipmentComputer scienceNetwork packetTelecommunications linkReal-time computingSingle-frequency networkThroughputInterference (wave propagation)Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Analysis of RRM limitations and restricted transmission periods for VoIP over HSDPA

2009

This paper studies how the performance of Voice over IP (VoIP) over High Speed Downlink Packet Access (HS-DPA) networks is affected if transmission to a User Equipment (UE) is stopped for specific amount of time during handover procedure. This paper also addresses the situation when it might be necessary to limit the number of UEs in a cell. The study showed that parameter settings for Radio Resource Management (RRM) algorithms can have an effect to the VoIP capacity: If handover lasts long enough for VoIP packets to be lost, or severe congestion occurs in a cell, VoIP capacity may be degraded.

Voice over IPbusiness.industryNetwork packetComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingMobile communications over IPTransmission (telecommunications)User equipmentHandoverTelecommunications linkRadio resource managementbusinessComputer networkAsian Internet Engineering Conference on - AINTEC '09
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Analysis of VoIP over HSDPA Performance with Discontinuous Reception Cycles

2009

The aim of this paper is to evaluate how Discontinuous Reception (DRX) cycles and related timers take effect to Voice over IP (VoIP) performance when High Speed Downlink Packet Access (HSDPA) networks are in question. DRX cycles limit the scheduling freedom of users and increase battery saving opportunities in the User Equipment (UE) by allowing it to turn its receiver circuitry off for some periods of time. Prior work has concentrated mainly on optimizing the usage of radio resources when small bit rate delay critical services, like VoIP, are considered. However, the battery life of small handheld devices might become a limiting factor in providing satisfactory user experience. Thus, this …

Voice over IPbusiness.industryNetwork packetComputer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingScheduling (computing)User equipmentDiscontinuous receptionTimerRadio resource managementbusinessComputer network2009 Sixth International Conference on Information Technology: New Generations
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Collaborative Mobile Clouds: An Energy Efficient Paradigm for Content Sharing

2018

On the way toward enabling efficient content distribution, reducing energy consumption and prolonging battery life of mobile equipment, an emerging paradigm, i.e., mobile cloud, which is based on content distribution, was proposed. As a mobile platform that is oriented toward content distribution, mobile cloud is also foreseen as an energy-efficient solution for future wireless networks. The benefits of using CMC for content distribution or distributed computing from social networking perspectives have been studied earlier. In this article, we first present the concepts of CMC and then discuss the energy-efficiency benefits from the system-level point-of-view as well as open challenges in d…

energiatehokkuusComputer scienceDistributed computingMobile computingMobile WebCloud computinglangaton tekniikka02 engineering and technologypilvipalvelut0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringMobile searchMobile technologyElectrical and Electronic Engineeringenergy efficiencyta213business.industry020302 automobile design & engineering020206 networking & telecommunicationscloud servicesComputer Science ApplicationsUser equipmentwireless technologyMobile telephonybusinessComputer networkContent managementIEEE Wireless Communications
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Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks

2015

The Sleeping Cell problem is a particular type of cell degradation in Long-Term Evolution (LTE) networks. In practice such cell outage leads to the lack of network service and sometimes it can be revealed only after multiple user complains by an operator. In this study a cell becomes sleeping because of a Random Access Channel (RACH) failure, which may happen due to software or hardware problems. For the detection of malfunctioning cells, we introduce a data mining based framework. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving Base Station (BS). The crucial element of the developed framework is an anomaly detection algorithm. We compare perfor…

ta113Engineeringta213business.industryEvent (computing)Real-time computingProbabilistic logicdata miningSONanomaly detectionself-organizing networksLTEBase stationcell outageSoftwareRandom-access channelUser equipmentNetwork serviceAnomaly detectionmobile cellular networkstiedonlouhintabusiness
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Data mining framework for random access failure detection in LTE networks

2014

Sleeping cell problem is a particular type of cell degradation. There are various software and hardware reasons that might cause such kind of cell outage. In this study a cell becomes sleeping because of Random Access Channel (RACH) failure. This kind of network problem can appear due to misconfiguration, excessive load or software/firmware problem at the Base Station (BS). In practice such failure might cause network performance degradation, which is hardly traceable by an operator. In this paper we present a data mining based framework for the detection of problematic cells. In its core is the analysis of event sequences reported by a User Equipment (UE) to a serving BS. The choice of N i…

ta113sleeping cell problembusiness.industryComputer scienceFirmwareHeuristic (computer science)Event (computing)Reliability (computer networking)data miningLTE networkscomputer.software_genreBase stationRandom-access channelUser equipmentData miningbusinessrandom access channelcomputerRandom accessComputer network2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
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