Location information is very important for many applications of vehicular networks such as
routing, network management, data dissemination protocols, road congestion, etc. If some …

We treat the problem of movement prediction as a classification task. We assume the
existence of a (gradually populated/trained) knowledge base and try to compare the …

We focus on the proactivity feature of mobile applications. We propose a short-memory
adaptive location predictor that realizes mobility prediction in the absence of extensive …

Context-awareness is viewed as one of the most important aspects in the emerging
pervasive computing paradigm. Mobile context-aware applications are required to sense …

Context-awareness is viewed as one of the most important aspects in the emerging
pervasive computing paradigm. Mobile context-aware applications are required to sense …

In this paper, we focus on proactive radio resource management schemes that retain the
quality of the individual connections by pre-reserving the needed resources in a cellular …

We treat the problem of movement prediction as a classification task. We assume the
existence of a (gradually populated and/or trained) knowledge base and try to compare the …

Este artigo resume a tese de mestrado intitulada" Admission Control and Resource
Allocation in 5G Network Slicing". Propomos duas soluções, SARA e DSARA, que usam …

Mobile context-aware applications are required to sense and react to changing environment
conditions. Such applications, usually, need to recognize, classify, and predict context in …

A infraestrutura dos provedores de serviços de redes 5G receberá requisições para
implementação de fatias de rede (do Inglês, network slices) solicitadas por usuários com …