Search results for "Cellular network"

showing 10 items of 63 documents

Enabling Soft Frequency Reuse and Stienen's Cell Partition in Two-Tier Heterogeneous Networks: Cell Deployment and Coverage Analysis

2021

Heterogeneous cellular networks (HetNets) are one of the key enabling technologies for fifth generation (5 G) networks. In HetNets, the use of small base stations (SBSs) inside the coverage area of a macro base station (MBS) offers higher throughput and improved coverage. However, such multi-tier base station deployment introduces new challenges, e.g., (i) All users experience significant inter-cell interference (ICI) due to frequency reuse, (ii) SBS associated users experience severe MBS-interference due to higher MBS transmit power, and (iii) MBS coverage edge users receive lower signal-to-interference ratio (SIR) due to longer distances. To address the aforementioned challenges, this wor…

Computer Networks and CommunicationsComputer sciencebusiness.industryAerospace Engineering020302 automobile design & engineeringThroughput02 engineering and technologyTransmitter power outputFrequency reuseBase station0203 mechanical engineeringSoftware deploymentAutomotive EngineeringTelecommunications linkCellular networkNetwork performanceEnhanced Data Rates for GSM EvolutionElectrical and Electronic EngineeringbusinessHeterogeneous networkComputer networkIEEE Transactions on Vehicular Technology
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Cell Association With Load Balancing in Nonuniform Heterogeneous Cellular Networks: Coverage Probability and Rate Analysis

2017

To meet the ever-growing traffic demand and address the cell capacity shortage problem, associating end users to various tiers of cells in a multitier cellular network appears to be a promising approach. In this paper, we consider a nonuniform heterogeneous cellular network (NuHCN) and propose a cell association scheme that selectively mutes certain small-cell base stations (BSs) and covers end users by cell range extension (via cell biasing) for achieving load balancing. The envisaged NuHCN is comprised of two tiers of BSs, i.e., macro- and small-cell BSs, deployed according to three independent homogeneous Poisson point processes for BSs and end users, respectively. Accordingly, the avail…

Computer Networks and Communicationsbusiness.industryComputer scienceCoverage probabilityAerospace Engineering020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyLoad balancing (computing)Load managementBase station0203 mechanical engineeringAutomotive Engineering0202 electrical engineering electronic engineering information engineeringCellular networkMicrocellMacrocellElectrical and Electronic EngineeringbusinessComputer networkIEEE Transactions on Vehicular Technology
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Architectures and protocols for mobile computing applications: a reconfigurable approach

2004

This work deals with reconfigurable control functions and protocols for supporting mobile computing applications in heterogeneous wireless systems like cellular networks and WLANs. The control functions are implemented in a software module, named Reconfigurable Access module for MObile computiNg applications (RAMON), placed in mobile and/or base stations. RAMON operates on abstract models of the main communication functions of a wireless systems (e.g., transmission over the radio channel, coding end error recovery, capacity sharing and packet scheduling, handover, congestion control, etc.). RAMON algorithms are programmed with reference to the abstract models, independently of specific radi…

Computer Networks and Communicationsbusiness.industryComputer sciencemobile computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSMobile computingReconfigurabilityreconfigurable systemsresource controllaw.inventionBluetoothNetwork congestionBase stationHandoverlawmobile computing; mobility management; reconfigurable systems; resource control; session controlCellular networkWirelessbusinessMobility managementmobility managementUMTS frequency bandssession controlComputer network
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Ultra-Low Power Wake-up Radio for 5G IoT

2019

5G Internet of Things (5G IoT), which is currently under development by 3GPP, paves the way for connecting diverse categories of devices to the IoT via cellular networks. For battery-powered low-cost IoT devices, wake-up radio (WuR) appears as an eminent technique for prolonging the lifetime of such devices, thanks to its outstanding energy consumption performance. However, only some small-size battery-powered IoT devices are able to transmit to a cellular IoT base station (BS) directly. In this article, we present W2B-IoT, a prototype implementation of a WuR-based two-tier system, which bridges cellular IoT BS and WuR via a Bluetooth low energy (BLE)-enabled Android smartphone. Such a WuR-…

Computer Networks and Communicationscomputer.internet_protocolComputer sciencebusiness.industryVDP::Technology: 500::Information and communication technology: 550020206 networking & telecommunications02 engineering and technologyEnergy consumptionComputer Science ApplicationsBase station0202 electrical engineering electronic engineering information engineeringCellular networkElectrical and Electronic EngineeringAndroid (operating system)Internet of Thingsbusinesscomputer5GBluetooth Low EnergyComputer network
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Towards Efficient Control of Mobile Network-Enabled UAVs

2019

| openaire: EC/H2020/815191/EU//PriMO-5G The efficient control of mobile network-enabled unmanned aerial vehicles (UAVs) is targeted in this paper. In particular, a downlink scenario is considered, in which control messages are sent to UAVs via cellular base stations (BSs). Unlike terrestrial user equipment (UEs), UAVs perceive a large number of BSs, which can lead to increased interference causing poor or even unacceptable throughput. This paper proposes a framework for efficient control of UAVs. First, a communication model is introduced for flying UAVs taking into account interference, path loss and fast fading. The characteristics of UAVs make such model different compared to traditiona…

Computer science05 social sciencesReal-time computingComputerApplications_COMPUTERSINOTHERSYSTEMS050801 communication & media studies020206 networking & telecommunicationsThroughput02 engineering and technologyInterference (wave propagation)Base station0508 media and communicationsUser equipmentTelecommunications link0202 electrical engineering electronic engineering information engineeringCellular networkPath lossFading2019 IEEE Wireless Communications and Networking Conference (WCNC)
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Cellular Networks: An Evolution from 1G to 4G

2020

Computer scienceCellular networkNeuroscience
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Outage Probability Analysis of User-Centric SBS-Based HCNets Under Hybrid Rician/Rayleigh Fading

2020

To model dense user equipment (UE) distribution in heterogeneous cellular networks (HCNets), the Poisson cluster process (PCP) has emerged as a promising tool. In user-centric HCNets where UEs are distributed according to a PCP around a small base station (SBS), the network performance has been commonly studied in literature under a Rayleigh fading environment assumption. However, such an assumption may not hold in user-centric HCNets given the possible existence of a strong line-of-sight (LOS) link between UEs and BSs due to a relatively short transmission distance. This letter analyzes the performance of user-centric SBS based HCNets by considering that the desired LOS link experiences Ri…

Computer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologyComputer Science ApplicationsBase stationTransmission (telecommunications)Modeling and SimulationRician fadingComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringCellular networkNetwork performanceElectrical and Electronic EngineeringAlgorithmComputer Science::Information TheoryRayleigh fadingIEEE Communications Letters
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The role of network connectivity on epileptiform activity.

2021

AbstractA number of potentially important mechanisms have been identified as key players to generate epileptiform activity, such as genetic mutations, activity-dependent alteration of synaptic functions, and functional network reorganization at the macroscopic level. Here we study how network connectivity at cellular level can affect the onset of epileptiform activity, using computational model networks with different wiring properties. The model suggests that networks connected as in real brain circuits are more resistant to generate seizure-like activity. The results suggest new experimentally testable predictions on the cellular network connectivity in epileptic individuals, and highligh…

Computer scienceScienceAction PotentialsCellular levelArticleFunctional networksComputational biophysicsSeizuresNeural Pathwayscomputational model networkHumansThe role of network connectivity on epileptiform activityComputational modelMultidisciplinaryNetwork modelsEpilepsycellular network connectivitySettore INF/01 - InformaticaQRBrainElectroencephalographyNetwork connectivityApplied mathematicsepileptiform activitywiring propertieCellular networkKey (cryptography)MedicineNerve NetNeuroscienceScientific reports
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Analysis of interference avoidance with load balancing in heterogeneous cellular networks

2016

In heterogeneous cellular networks (HCNets) smallcells are overlaid with macro-cells to handle heavy cellular data traffic in an efficient way. To achieve fast and reliable access to data with a better coverage it is necessary to offload users to the underutilized small-cells from the congested macro-cells. Sharing of the same licensed frequency spectrum by smallcells and macro-cells results in heavy cross-tier interference which significantly affects the downlink SINR. In this paper, we investigate and analyze a joint frequency-division duplex based cross-tier complementary spectrum sharing technique which is also regarded as reverse frequency allocation (RFA) scheme with load balancing. T…

Computer sciencebusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS05 social sciencesDuplex (telecommunications)050801 communication & media studies020206 networking & telecommunications02 engineering and technologySpectral efficiencyLoad balancing (computing)Frequency allocation0508 media and communicationsTelecommunications link0202 electrical engineering electronic engineering information engineeringCellular networkbusinessComputer network2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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Assessment of Deep Learning Methodology for Self-Organizing 5G Networks

2019

In this paper, we present an auto-encoder-based machine learning framework for self organizing networks (SON). Traditional machine learning approaches, for example, K Nearest Neighbor, lack the ability to be precisely predictive. Therefore, they can not be extended for sequential data in the true sense because they require a batch of data to be trained on. In this work, we explore artificial neural network-based approaches like the autoencoders (AE) and propose a framework. The proposed framework provides an advantage over traditional machine learning approaches in terms of accuracy and the capability to be extended with other methods. The paper provides an assessment of the application of …

Computer scienceintrusion detection5G-tekniikka02 engineering and technologyIntrusion detection systemself-organizing networks (SON)Machine learningcomputer.software_genrelcsh:Technologyk-nearest neighbors algorithmself-organizing networkslcsh:Chemistryautoencoder (AE)deep learning (DL)mobility load balancing0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer ProcessesautoencoderArtificial neural networkbusiness.industrylcsh:Tmobility load balancing (MLB)Process Chemistry and TechnologyDeep learningGeneral Engineeringdeep learning020206 networking & telecommunicationsSelf-organizing networkLoad balancing (computing)021001 nanoscience & nanotechnologyAutoencoderlcsh:QC1-999Computer Science Applicationscell outage detectionlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Cellular networkArtificial intelligence0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)computerlcsh:Physics5G
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