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Kleber V. Cardoso
Also published under:Kleber Vieira Cardoso, K. V. Cardoso, Kleber Cardoso
Affiliation
Universidade Federal de Goiás, Brazil
Topic
Radio Access Network,Mobile Network,Virtual Network Functions,Mobile Edge Computing,Control Plane,User Equipment,Base Station,Network Slicing,Computational Resources,Control Loop,Deep Reinforcement Learning,Edge Computing,Virtual Machines,Distributed Unit,Functional Networks,Latency Requirements,Mixed Integer Linear Programming,Network Operators,Placement Problem,Processing Capacity,Arrangement Of Components,Average Latency,Bitrate,Central Unit,Communication Latency,Computing Nodes,Deep Reinforcement Learning Agent,Energy Efficiency,Internet Of Things,Key Performance Indicators,Machine Learning Techniques,Mobile Users,Network Resources,Network State,Objective Function,Open Phase,Preparation Phase,Protocol Stack,Quality Of Experience,Quality Of Service Requirements,Radio Resource,Reinforcement Learning Agent,Resource Allocation,Resource Block,Service Quality,Shared Layers,Solution Quality,Spectral Efficiency,Standard Body,Task Offloading,
Biography
Kleber V. Cardoso received the degree in computer science from Universidade Federal de Goiás, in 1997, and the M.Sc. and Ph.D. degrees in electrical engineering from COPPE, Universidade Federal do Rio de Janeiro, in 2002 and 2009, respectively. He is currently an Associate Professor with the Institute of Informatics, Universidade Federal de Goiás (UFG), where he has been a Professor and a Researcher, since 2009. In 2015, he spent his sabbatical with Virginia Tech, USA. In 2020, he was with the Inria Saclay Research Center, France. His research interests include wireless networks, SDN, virtualization, resource allocation, and performance evaluation.