Search results for "MINLP"

showing 3 items of 3 documents

AI for Resource Allocation and Resource Allocation for AI: a two-fold paradigm at the network edge

2022

5G-and-beyond and Internet of Things (IoT) technologies are pushing a shift from the classic cloud-centric view of the network to a new edge-centric vision. In such a perspective, the computation, communication and storage resources are moved closer to the user, to the benefit of network responsiveness/latency, and of an improved context-awareness, that is, the ability to tailor the network services to the live user's experience. However, these improvements do not come for free: edge networks are highly constrained, and do not match the resource abundance of their cloud counterparts. In such a perspective, the proper management of the few available resources is of crucial importance to impr…

Internet Of ThingMINLPIoTEdge NetworkPerformance EvaluationLow Power Wide Area NetworkSystem ModelingSettore ING-INF/03 - TelecomunicazioniUAVSoftware Defined RadioReal TestbedVehicular NetworkMLLoRaReinforcement LearningResource AllocationMachine LearningGame TheoryArtificial IntelligenceAILPWANColosseum Channel EmulatorChannel EmulationEmulationSDR
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A Social Spider Optimisation Algorithm for 3D Unmanned Aerial Base Stations Placement

2020

International audience; In recent years, the use of drones as aerial base stations (ABS) has attracted the attention of both scientific and industrial communities as a promising solution to enhance the network coverage. However, their deployment brings out many challenges and restrictions. In this work, we model a realistic, constrained scenario where unmanned aerial vehicles (UAVs) are used as ABSs along with traditional ground base stations (GBSs) to extend their coverage. We propose a scalable and efficient social spider optimization (SSO) algorithm that determines the placement of UAVs and their association with both user equipments (UEs) and GBSs. Extensive computational experiments we…

MINLPOptimizationSignal to noise ratio[SPI] Engineering Sciences [physics]UAVStatisticsBase stationssocial spider optimisation[SPI]Engineering Sciences [physics]dronesSociologyaerial base stationsThree-dimensional displaysInterference
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Bilevel heat exchanger network synthesis with an interactive multi-objective optimization method

2012

Abstract Heat exchanger network synthesis (HENS) has been an active research area for more than 40 years because well-designed heat exchanger networks enable heat recovery in process industries in an energy- and cost-efficient manner. Due to ever increasing global competition and need to decrease the harmful effects done on the environment, there still is a continuous need to improve the heat exchanger networks and their synthesizing methods. In this work we present a HENS method that combines an interactive multi-objective optimization method with a simultaneous bilevel HENS method, where the bilevel part of the method is based on grouping of process streams and building aggregate streams …

ta212MINLPNUMBUSPareto optimalityEngineeringMathematical optimizationEngineering drawingta214business.industryta111Aggregate (data warehouse)Synheat modelProcess (computing)Energy Engineering and Power TechnologyWork in processMulti-objective optimizationIndustrial and Manufacturing EngineeringWeightingGrouping of processHeat recovery ventilationHeat exchangerbusinessta218Energy (signal processing)Applied Thermal Engineering
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