Zinno, Stefania (2018) Measurement and Optimization of LTE Performance. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Measurement and Optimization of LTE Performance
Autori:
AutoreEmail
Zinno, Stefaniastefania.zinno@unina.it
Data: 7 Giugno 2018
Numero di pagine: 148
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: dep10
Dottorato: phd034
Ciclo di dottorato: 30
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledaniele.riccio@unina.it
Tutor:
nomeemail
Ventre, Giorgio[non definito]
Data: 7 Giugno 2018
Numero di pagine: 148
Parole chiave: LTE Optimization Measurement
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 - Sistemi di elaborazione delle informazioni
Depositato il: 15 Giu 2018 21:59
Ultima modifica: 06 Mar 2019 09:05
URI: http://www.fedoa.unina.it/id/eprint/12295

Abstract

4G Long Term Evolution (LTE) mobile system is the fourth generation communication system adopted worldwide to provide high-speed data connections and high-quality voice calls. Given the recent deployment by mobile service providers, unlike GSM and UMTS, LTE can be still considered to be in its early stages and therefore many topics still raise great interest among the international scientific research community: network performance assessment, network optimization, selective scheduling, interference management and coexistence with other communication systems in the unlicensed band, methods to evaluate human exposure to electromagnetic radiation are, as a matter of fact, still open issues. In this work techniques adopted to increase LTE radio performances are investigated. One of the most wide-spread solutions proposed by the standard is to implement MIMO techniques and within a few years, to overcome the scarcity of spectrum, LTE network operators will offload data traffic by accessing the unlicensed 5 GHz frequency. Our Research deals with an evaluation of 3GPP standard in a real test best scenario to evaluate network behavior and performance.

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