Docente Pedro Vieira é co-autor de Best Student Paper Award
Notícia escrita em 03/11/2020
O docente Pedro Vieira (ADEETC/ISEL) é co-autor do artigo intitulado “Automated Joint Access and Backhaul Planning for 5G Millimeter-Wave Small Cell Networks” que recebeu o Best Student Paper Award na “23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) 2020”, Virtual Edition, que ocorreu de 19 a 31 de Outubro de 2020.
Este artigo foi desenvolvido, no âmbito da dissertação de mestrado, pela aluna Beatriz Marques (IST), tendo sido realizado em parceria com o Instituto de Telecomunicações (IT) e orientado pelos Professores Pedro Vieira (ISEL/IT), Paula Queluz (IT/IST), António Rodrigues (IT/IST) e contou com a colaboração ativa do Eng. Marco Sousa da empresa CELFINET (empresa parceira do ISEL).
“Automated Joint Access and Backhaul Planning for 5G Millimeter-Wave Small Cell Networks”
Abstract—Mobile backhauling, small cells and millimeter waves (mmWaves) are key important technologies to support the next-generation cellular networks. The 5th generation (5G) radio networks introduce several different elements from the previous generations and hence, network planning became even more complex. In this work, the focus is on creating a radio network planning algorithm towards 5G mmWave small cell architectures. The algorithm is divided between the radio access network and the backhaul network. The former aims to find optimal locations for small cells to guarantee coverage requirements, while the latter creates backhaul links between the small cells according to a specific topology, and chooses which of them should be gateways. The results give some insights on base station (BS) and gateway density, and demonstrate that the topology most likely to meet Quality of Service (QoS) requirements, while minimizing the number of gateways, is the mesh network. However, tree and star topologies are also useful in certain scenarios. The work also includes a comparison between the 28 GHz and 60 GHz frequency bands, which are two common candidates for mmWave backhauling.