Múltiplo acesso em fronthaul óptico para arquiteturas híbridas C-RAN visando aplicação em Redes Móveis 5G

• Ano de defesa: 2023
• Autor(a) principal: Arthur Guimarães Bueno
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; Brasil; ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA; Programa de Pós-Graduação em Engenharia Elétrica; UFMG
• Palavras-chave em Português: 5G; Fronthaul; WDM; OFDMA; OCDMA; Engenharia elétrica; Sistemas de computação; Telefonia móvel; Telecomunicações; Antenas; Ondas de rádio - Propagação
• Link de acesso: http://hdl.handle.net/1843/51756

C-RAN is a network topology that centralizes the baseband processing signals at a single plance and has several advantages for the application in 5G (NR) and future generations of mobile networks, among them being able to reduce the OPEX and CAPEX cost for mobile operators. With the advent of Fifth Generation Networks, there will be a very large demand for new sites due to higher frequency carriers and a significant number of new users due to the Internet of Things (IoT). This dissertation reviews current technologies and shows how C-RAN can be advantageous for new deployments in the radio infrastructure of mobile network operators. For C-RAN to be viable, a feasibility study of fronthaul links is necessary. The paper explores fiber communication scenarios, analyzing the performance of the optical network in the fronthaul by varying crucial parameters such as the number of channels, laser power, fiber length and fiber attenuation, always observing the impact on the bit error rate. A case study of three optical access network topologies will be proposed, comparing their requirements and performance. Additionally, an alternative model is proposed for the mitigation of multiple access interference, presenting itself as a viable alternative for future scenarios. For the study of the models under analysis, the Optisystem® software will be used, exporting the data and graphically analyzing the performance curves.