Search results for "energian kerääminen"

showing 4 items of 4 documents

Virtual Resource Allocation for Wireless Virtualized Heterogeneous Network with Hybrid Energy Supply

2022

In this work, two novel virtual user association and resource allocation algorithms are introduced for a wireless virtualized heterogeneous network with hybrid energy supply. In the considered system, macro base stations (MBSs) are supplied by the grid power and small base stations (SBSs) have the energy harvesting capability in addition to the grid power supplement. Multiple infrastructure providers (InPs) own the physical resources, i.e., BSs and radio resources. The Mobile Virtual Network Operators (MVNOs) are able to recent these resources from the InPs and operate the virtualized resources for providing services to different users. In particular, aiming to maximize the overall utility …

Optimizationenergy harvestingreinforcement learningvirtualisointiComputer scienceDistributed computingresource allocationsyväoppiminenwireless network virtualizationresursointicomputer.software_genreIndium phosphideenergian kerääminenIII-V semiconductor materialsBase stationVirtualizationHybrid power systemsWirelessResource managementElectrical and Electronic EngineeringWireless networksbusiness.industryWireless networkApplied MathematicsResource managementdeep learningVirtualizationGridComputer Science ApplicationskoneoppiminenResource allocationbusinessADMMcomputerHeterogeneous networklangattomat verkot
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Average Age of Information in Wireless Powered Mobile Edge Computing System

2022

Mobile edge computing (MEC) has been recognized as a promising technique to provide enhanced computation services for low-power wireless devices at the network edge. How to evaluate the timeliness of the task and data delivery is critical for the development of MEC applications. Considering a wireless powered MEC system, in this letter we study the average age of information (AoI), which is a crucial performance metric to measure the freshness of information. Specifically, in the considered system, a sensor node harvests energy from an energy transmitter and transmits computation tasks to the MEC server. The charging time of the sensor node’s capacitor, the waiting time and service time at …

age of informationenergy harvestinglangaton tiedonsiirtoenergiaedge computingControl and Systems Engineeringwireless power transferlangaton tekniikkaElectrical and Electronic Engineeringenergian kerääminen
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Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling

2022

The wireless-powered communication paradigm brings self-sustainability to the on-vehicle sensors by harvesting the energy from radiated radio frequency (RF) signals. This paper proposes a novel transmission and resource allocation strategy for the scenario where multiple wireless powered vehicle area networks (VAN) co-existed with high density. The considered multi-VAN system consists of a remote master access point (MAP), multiple on-vehicle hybrid access points (HAPs) and sensors. Unlike previous works, we consider that the sensors can recycle the radiated radio frequency energy from all the HAPs when HAPs communicate with MAP, so the dedicated signals for energy harvesting (EH) are unnec…

energy harvestingComputer Networks and Communicationskulkuneuvotekniikkasensoriverkotdense networkAerospace Engineeringresursointienergian kerääminenwireless powered networklangaton tiedonsiirtooptimointithroughput maximizationAutomotive EngineeringElectrical and Electronic Engineeringlangattomat verkotIEEE Transactions on Vehicular Technology
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Socially-aware Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices

2018

Fog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog node or the central cloud, the performance of the applications, such as energy consumption and delay, are able to be significantly enhanced. Meanwhile, utilizing the recent advances of social network and energy harvesting (EH) techniques, the system performance could be further improved. In this paper, we take the social relationships of the EH mobile devices (MDs) into the design of computational offloading scheme in fog computing. With the objective to minimize the social group executi…

pilvipalvelutsocial-aware mobile networkexecution costmobiililaitteetenergy consumptionGeneralized Nash Equilibrium Problemenergiankulutusfog computingenergian kerääminencomputation offloading
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