Banca de DEFESA: IAGO DIÓGENES DO RÊGO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : IAGO DIÓGENES DO RÊGO
DATE: 31/01/2020
TIME: 14:00
LOCAL: Sala 108 do CTEC
TITLE:

FFR-based ICIC powered by Q-Learning as a solution for interference in high user density areas (hotspots)


KEY WORDS:

HotSpot, ICIC, LTE.


PAGES: 80
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
SPECIALTY: Sistemas de Telecomunicações
SUMMARY:

This work aims to explore interference coordination techniques (ICIC) based on fractional frequency reuse (FFR) as a solution for interference in a multicellular scenario. The system presents a dynamic variation on the density of its users. Therefore, the Q-Learning algorithm performs the dynamic configuration of the ICIC parameters. The first chapter discusses the problem of high user density and its consequences. The following chapter presents some classic solutions, leading to the introduction of Fractional Frequency Reuse (FFR) and existing FFR techniques. Prior results are presented for performance evaluation. These also serve to guide the choice of relevant parameters and to highlight the impact of high user density. The final chapters present the results regarding the use of Q-Learning in the dynamic scenario.


BANKING MEMBERS:
Interno - 3921178 - VALDEMIR PRAXEDES DA SILVA NETO
Interno - 1412682 - VICENTE ANGELO DE SOUSA JUNIOR
Externo à Instituição - ANDRÉ MENDES CAVALCANTE
Notícia cadastrada em: 21/11/2019 17:22
SIGAA | Superintendência de Tecnologia da Informação - (84) 3342 2210 | Copyright © 2006-2024 - UFRN - sigaa07-producao.info.ufrn.br.sigaa07-producao