Venâncio Neto, Augusto JoséLima, Mathews Phillipp Santos de2022-02-022022-02-022021-10-29LIMA, Mathews Phillipp Santos de. Avaliação de estratégias de decisão de mobilidade MADM orientados para a qualidade em cenário de redes 5G. 2021. 136f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2021.https://repositorio.ufrn.br/handle/123456789/45764The growth in the number of mobile devices, also known as User Equipment (UE) connected to the Internet, demanded new network technologies meet the high demand for resources (e.g., high bandwidth rates). In this context, the fifth generation (5G) mobile networks have attracted much attention from the scientific community and the industry for their advanced ability to address many of the previous technologies’ deficiencies. However, in 5G networks, mobility management faces numerous needs, the main one being the handover decision. Among the various strategies used to deal with the handover decision problem, the Multiple Attribute Decision Making (MADM) has been shown to be the most effective in terms of the benefits provided for its flexible decision-making approach. However, mobility management mechanisms blindly employ MADM methods without thorough performance analysis to justify the adoption due to their popularity. One of the main reasons for this adoption is the lack of studies informing researchers, developers, and operators about the main differences between the various MADM methods. In this work, to fill this knowledge gap, we conducted a comprehensive review of the literature on MADM methods in the domain of handover decisions, providing a detailed analysis based on a step-by-step mathematical implementation. We also propose a strategy for comprehensive performance evaluation considering the entire process of the MADM approach in a quality-oriented manner in the context of 5G networks.Acesso AbertoComputação5GGerenciamento de mobilidadeDecisão de handoverDecisão multi-atributoMADMQualidade de experiênciamasterThesis