0000000000661330

AUTHOR

Antonino Masaracchia

0000-0002-2299-8487

showing 4 related works from this author

Robust Adaptive Modulation and Coding (AMC) selection in LTE systems using reinforcement learning

2014

Adaptive Modulation and Coding (AMC) in LTE networks is commonly employed to improve system throughput by ensuring more reliable transmissions. Most of existing AMC methods select the modulation and coding scheme (MCS) using pre-computed mappings between MCS indexes and channel quality indicator (CQI) feedbacks that are periodically sent by the receivers. However, the effectiveness of this approach heavily depends on the assumed channel model. In addition CQI feedback delays may cause throughput losses. In this paper we design a new AMC scheme that exploits a reinforcement learning algorithm to adjust at run-time the MCS selection rules based on the knowledge of the effect of previous AMC d…

Engineeringreinforcement learningSettore ING-INF/03 - Telecomunicazionibusiness.industryLink adaptationchannel qualityChannel modelsLTE channel quality adaptive modulation and coding (AMC) reinforcement learning performance evaluation.performance evaluationLTERobustness (computer science)Electronic engineeringReinforcement learningDecision processbusinessReinforcement learning algorithmCoding (social sciences)adaptive modulation and coding (AMC)
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Offloading through Opportunistic Networks with Dynamic Content Requests

2014

Offloading is gaining momentum as a technique to overcome the cellular capacity crunch due to the surge of mobile data traffic demand. Multiple offloading techniques are currently under investigation, from modifications inside the cellular network architecture, to integration of multiple wireless broadband infrastructures, to exploiting direct communications between mobile devices. In this paper we focus on the latter type of offloading, and specifically on offloading through opportunistic networks. As opposed to most of the literature looking at this type of offloading, in this paper we consider the case where requests for content are non-synchronised, i.e. users request content at random …

Settore ING-INF/03 - TelecomunicazioniOpportunistic network Mobile Data Offloading Dynamic Contet Request WiFi-direct BluetoothOpportunistic Networks
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Opportunistic traffic Offloading Mechanisms for Mobile/4G Networks

2015

LTEOffloading Channel modellingSettore ING-INF/03 - Telecomunicazionibusiness.industryComputer scienceSmall cellMobile data offloadingbusinessComputer networkProceedings of the 2015 on MobiSys PhD Forum
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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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