Melito, Fulvio (2015) Cooperation and migration for future communication networks. [Tesi di dottorato]


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Item Type: Tesi di dottorato
Resource language: English
Title: Cooperation and migration for future communication networks
Date: 31 March 2015
Number of Pages: 167
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria elettronica e delle telecomunicazioni
Ciclo di dottorato: 27
Coordinatore del Corso di dottorato:
Verde, FrancescoUNSPECIFIED
Darsena, DonatellaUNSPECIFIED
Date: 31 March 2015
Number of Pages: 167
Keywords: Cooperation, SDN, NFV
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 - Telecomunicazioni
Aree tematiche (7° programma Quadro): TECNOLOGIE DELL'INFORMAZIONE E DELLA COMUNICAZIONE > Trasporti, telecomunicazioni, attrezzature mediche, etc. Tecnologie della fotonica, plastiche elettroniche, display flessibili e micro e nano sistemi
Date Deposited: 07 Apr 2015 11:17
Last Modified: 08 Oct 2015 07:08
DOI: 10.6092/UNINA/FEDOA/10419

Collection description

5G networks will have to address challenges, related to capacity, data rate, latency, connectivity, costs and Quality of Experience (QoE), that LTE-A Long Term Evolution-Advanced) is not able to properly deal with. For this reason, research community is working to identify the set of key technologies that will enable the future mobile network. Three of these technologies fall in the areas of cooperative approaches for wireless networks, Software Defined Networking (SDN), and Network Function Virtualization (NFV). In this thesis work, some original results concerning the aforementioned technologies will be presented, by reserving a greater emphasis to the first one. Specifically, at first, the performance analysis of Multiple-Input Multiple-Output (MIMO) cooperative multiple-relay systems corrupted by Gaussian noise, in the case of naive (non-optimized) approach for the processing at the source and relay nodes, will be presented. Then, the optimal processing design will be faced based on the minimization of the arithmetic mean, over all the substreams, of the symbol error probabilities. At this point, the design of a new equalizer for a Single-Input Single-Output (SISO) Orthogonal-Frequency Division Multiplexing (OFDM) system affected by impulsive noise will be presented and the impact of the joint employment of cooperation and space-time block coding will be shown. At the end, with reference to the migration network primitive, a simplified mathematical model, that unveils the dependence of the total migration time and downtime of the virtual machine memory transfer on the main WAN parameters (such as capacity, buffering, and propagation delay) will be developed.


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