Please use this identifier to cite or link to this item: https://repositorio.ufu.br/handle/123456789/19062
Document type: Tese
Access type: Acesso Aberto
Title: A new genetic algorithm based scheduling algorithm for the LTE Uplink
Author: Mata, Saulo Henrique da
First Advisor: Guardieiro, Paulo Roberto
First member of the Committee: Borin, Juliana Freitag
Second member of the Committee: Teixeira, Márcio Andrey
Third member of the Committee: Silva, Éderson Rosa da
Fourth member of the Committee: Cunha, Marcio José da
Summary: 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.
Keywords: Engenharia elétrica
Long-Term Evolution (Telecomunicações)
Algoritmos genéticos
Index-terms
LTE
Uplink
Scheduling
Algorithms
Genetic Algorithms
ns-3
Area (s) of CNPq: CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Language: por
Country: Brasil
Publisher: Universidade Federal de Uberlândia
Program: Programa de Pós-graduação em Engenharia Elétrica
Quote: 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.
URI: https://repositorio.ufu.br/handle/123456789/19062
Date of defense: 22-May-2017
Appears in Collections:TESE - Engenharia Elétrica

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