1. Repositório Institucional - Universidade Federal de Uberlândia
2. Faculdade de Engenharia Elétrica (FEELT)
3. TESE - Engenharia Elétrica

Tipo de documento:	Tese
Tipo de acceso:	Acesso Aberto
Título:	A new genetic algorithm based scheduling algorithm for the LTE Uplink
Autor:	Mata, Saulo Henrique da
Primer orientador:	Guardieiro, Paulo Roberto
Primer miembro de la banca:	Borin, Juliana Freitag
Segundo miembro de la banca:	Teixeira, Márcio Andrey
Tercer miembro de la banca:	Silva, Éderson Rosa da
Cuarto miembro de la banca:	Cunha, Marcio José da
Resumen:	Long Term Evolution has become the de facto technology for the 4G networks. It aims to deliver unprecedented data transmission rates and low latency for several types of applications and services. In this context, this thesis investigates the resource allocation in the LTE uplink. From the principle that resource allocation in the uplink is a complex optimization problem, the main contribution of this thesis is a novel scheduling algorithm based on Genetic Algorithms (GA). This algorithm introduces new operations of initialization, crossover, mutation and a QoS-aware fitness function. The algorithm is evaluated in a mixed traffic environment and its performance is compared with relevant algorithms from the literature. Simulations were carried out in ns-3 and the results show that the proposed algorithm is able to meet the Quality of Service (QoS) requirements of the applications, while presenting a satisfactory execution time.
Palabras clave:	Engenharia elétrica Long-Term Evolution (Telecomunicações) Algoritmos genéticos Index-terms LTE Uplink Scheduling Algorithms Genetic Algorithms ns-3
Área (s) del CNPq:	CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Idioma:	por
País:	Brasil
Editora:	Universidade Federal de Uberlândia
Programa:	Programa de Pós-graduação em Engenharia Elétrica
Cita:	MATA, Saulo Henrique da. A new genetic algorithm based scheduling algorithm for the LTE Uplink. 2017. 120 f. Dissertação (Mestrado em Ciências) - Universidade Federal de Uberlândia, Uberlândia, 2017. DOI http://doi.org/10.14393/ufu.te.2017.121
Identificador del documento:	http://doi.org/10.14393/ufu.te.2017.121
URI:	https://repositorio.ufu.br/handle/123456789/19062
Fecha de defensa:	22-may-2017
Aparece en las colecciones:	TESE - Engenharia Elétrica

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