PPGINF PÓS-GRADUAÇÃO EM ENGENHARIA DA INFORMAÇÃO FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppginfo

Banca de QUALIFICAÇÃO: PAULO CESAR DIAS LIMA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : PAULO CESAR DIAS LIMA
DATA : 13/08/2019
HORA: 14:00
LOCAL: na sala 404, 4º andar, Bloco B, Campus SA da Fundação Universidade Federal do ABC, localizada na Avenida dos Estados, 5001, Santa Terezinha, Santo André, SP
TÍTULO:

Optimization of the placement of Baseband Units (BBU) in Cloud Radio Access Networks (C-RAN) by using genetic algorithms


PÁGINAS: 50
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
ESPECIALIDADE: Sistemas deTelecomunicações
RESUMO:

 

This research seeks to analyze data on the coverage of mobile cellular networks in the context of the architecture and infrastructure of the mobile operators in Brazil. The need for evolution of mobile telephony services in the country presents several challenges, especially considering the great geographic, socioeconomic and technological diversities found in the different regions of the country.

In order to support the expected demands of density, scale, variety of use and speed in the 5G, new network architectures are being proposed as alternatives of optimization of the current mobile telephone networks. In this context, the Cloud Radio Access Networks (C-RANs) architecture emerges as an evolutionary viability alternative to 5G, in which radio connectivity to end users is provided by remote radio units (Remote Radio Head - RRHs) and most of the signal processing tasks are performed on baseband units (BBUs) in the cloud.

More specifically, distribution of BBUs and RRHs will be simulated, considering fronthaul, which is the network that interconnects RRHs and BBUs, and backhaul, which is the core of RAN, in the future Brazilian 5G network (derived from the current 4G LTE network) that minimizes deployment costs. Given the complexity and size of the problem, we propose the use of an optimization technique based on genetic algorithms (GA). In this sense, it is expected that the analysis of the public data provided by ANATEL regarding the current 4G network will support the determination of the configurations for the maximum coverage of the regions and with lower costs through the optimized allocation of BBUs (BBUs placement).


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 2566275 - GUSTAVO SOUSA PAVANI
Membro Titular - Examinador(a) Interno ao Programa - 1603840 - JOAO HENRIQUE KLEINSCHMIDT
Membro Titular - Examinador(a) Externo ao Programa - 3008222 - PAULO HENRIQUE PISANI
Membro Suplente - Examinador(a) Interno ao Programa - 1669196 - LUIZ HENRIQUE BONANI DO NASCIMENTO
Notícia cadastrada em: 12/07/2019 11:42
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