Search results for "Long Term Evolution"

showing 6 items of 6 documents

Error-Based Interference Detection in WiFi Networks

2017

In this paper we show that inter-technology interference can be recognized by commodity WiFi devices by monitoring the statistics of receiver errors. Indeed, while for WiFi standard frames the error probability varies during the frame reception in different frame fields (PHY, MAC headers, payloads) protected with heterogeneous coding, errors may appear randomly at any point during the time the demodulator is trying to receive an exogenous interfering signal. We thus detect and identify cross-technology interference on off-the-shelf WiFi cards by monitoring the sequence of receiver errors (bad PLCP, bad PCS, invalid headers, etc.) and develop an Artificial Neural Network (ANN) to recognize t…

Artificial Neural NetworkNeuronsMonitoringComputer scienceSettore ING-INF/03 - Telecomunicazioni05 social sciencesReal-time computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS050801 communication & media studies020206 networking & telecommunicationsWireless LAN02 engineering and technologySpectrum managementReceiversZigBee0508 media and communicationsComputer Networks and CommunicationPHYHardware and Architecture0202 electrical engineering electronic engineering information engineeringLong Term EvolutionDemodulationWireless fidelitySafety Risk Reliability and QualityInterference
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Impact of LTE’s Periodic Interference on Heterogeneous Wi-Fi Transmissions

2018

The problem of Wi-Fi and LTE coexistence has been significantly debated in the last years, with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for carrier aggregation. Rather than focusing on the problem of resource sharing between the two technologies, in this paper, we study the effects of LTE's structured transmissions on the Wi-Fi random access protocol. We show how the scheduling of periodic LTE transmissions modifies the behavior of 802.11's distributed coordination function (DCF), leading to a degradation of Wi-Fi performance, both in terms of channel utilization efficiency and in terms of channel access fairness. We also discuss the applicability and…

FOS: Computer and information sciencesComputer scienceThroughput02 engineering and technologyDistributed coordination functionSpectrum managementAnalytical modelScheduling (computing)Computer Science - Networking and Internet ArchitectureC.2.0C.2.50202 electrical engineering electronic engineering information engineeringLong Term EvolutionWireless fidelityElectrical and Electronic EngineeringProbabilitySensorNetworking and Internet Architecture (cs.NI)business.industrySettore ING-INF/03 - TelecomunicazioniComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsComputer Science Applications1707 Computer Vision and Pattern RecognitionThroughput91A06 91A10 91A80Computer Science ApplicationsShared resourceModeling and SimulationbusinessC.2.0; C.2.5InterferenceRandom accessComputer networkCommunication channel
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Learning From Errors: Detecting Cross-Technology Interference in WiFi Networks

2018

In this paper, we show that inter-technology interference can be recognized using commodity WiFi devices by monitoring the statistics of receiver errors. Indeed, while for WiFi standard frames the error probability varies during the frame reception in different frame fields (PHY, MAC headers, and payloads) protected with heterogeneous coding, errors may appear randomly at any point during the time the demodulator is trying to receive an exogenous interfering signal. We thus detect and identify cross-technology interference on off-the-shelf WiFi cards by monitoring the sequence of receiver errors (bad PLCP, bad FCS, invalid headers, etc.) and propose two methods to recognize the source of in…

MonitoringComputer Networks and CommunicationsComputer scienceReal-time computingheterogeneous network050801 communication & media studies02 engineering and technologySpectrum managementZigBee0508 media and communicationsArtificial IntelligencePHY0202 electrical engineering electronic engineering information engineeringLong Term EvolutionDemodulationWireless fidelityHidden Markov modelsHidden Markov modelCross technology interferenceArtificial neural networkSettore ING-INF/03 - Telecomunicazioni05 social sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKScoexistenceunlicensed bands020206 networking & telecommunicationsThroughputLearning from errorsHardware and ArchitectureInterferenceCoding (social sciences)
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Cell degradation detection based on an inter-cell approach

2017

Fault management is a crucial part of cellular network management systems. The status of the base stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping cell that could be difficult to observe using traditional intra-cell methods. We d…

correlation based cell degradation detectionreal LTE networknetwork management automationself-healinglong term evolution (LTE)network managementself-organizing networks (SON)fault managementinter-cell analysissiirrokset
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Analysis of MAC-level throughput in LTE systems with link rate adaptation and HARQ protocols

2015

LTE is rapidly gaining momentum for building future 4G cellular systems, and real operational networks are under deployment worldwide. To achieve high throughput performance, in addition to an advanced physical layer design LTE exploits a combination of sophisticated mechanisms at the radio resource management layer. Clearly, this makes difficult to develop analytical tools to accurately assess and optimise the user perceived throughput under realistic channel assumptions. Thus, most existing studies focus only on link-layer throughput or consider individual mechanisms in isolation. The main contribution of this paper is a unified modelling framework of the MAC-level downlink throughput of …

radio linksaccess protocolscellular radioSettore ING-INF/03 - Telecomunicazionibusiness.industryOrthogonal frequency-division multiplexingComputer science4G mobile communicationComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPhysical layerHybrid automatic repeat requestComputer architectureTelecommunications linkLong Term EvolutionLTE MAC CQI AMC HARQ throughput analysis.Isolation (database systems)Radio resource managementbusinessThroughput (business)Computer networkCommunication channel2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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Device-to-device communication for LTE-advanced network system

2014

Device-to-device (D2D) communication has been proposed as a mean for local connections in future ellular networks in order to provide improved throughput, spectrum savings, and longer battery lives. Here we widen the investigations of D2D communication to a 3GPP Long Term Evolution (LTE) system simulated in the interference limited macro-cellular environment, in which D2D communication is applied with D2D specific power control and resource allocation schemes and with a wide range of deployment ratios. Furthermore, we introduce channel model parameters applicable for a fair performance comparison between conventional cellular and D2D enhanced systems. The simulation results demonstrate that…

radio resource managment (RRM)Long Term Evolution (LTE)device-to-device (D2D)
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