Now showing items 1-8 of 8

  • A machine learning enabled network planning tool 

    Moysen Cortes, Jessica; Giupponi, Lorenza; Mangues Bafalluy, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Restricted access - publisher's policy
    In the coming years, planning future mobile networks will be infinitely more complex than nowadays. Future networks are expected to present multiple Network Management (NM) challenges to operators, such as managing network ...
  • A mobile network planning tool based on data analytics 

    Moysen Cortes, Jessica; Giupponi, Lorenza; Mangues Bafalluy, Josep (HINDAWI, 2017-02-05)
    Article
    Open Access
    Planning future mobile networks entails multiple challenges due to the high complexity of the network to be managed. Beyond 4G and 5G networks are expected to be characterized by a high densification of nodes and heterogeneity ...
  • Conflict resolution in mobile networks: a self-coordination framework based on non-dominated solutions and machine learning for data analytics [Application notes] 

    Moysen Cortes, Jessica; García Lozano, Mario; Giupponi, Lorenza; Ruiz Boqué, Sílvia (2018-05-01)
    Article
    Open Access
    Self-organizing network (SON) is a well-known term used to describe an autonomous cellular network. SON functionalities aim at improving network operational tasks through the capability to configure, optimize and heal ...
  • On the potential of ensemble regression techniques for future mobile network planning 

    Moysen Cortes, Jessica; Giupponi, Lorenza; Mangues Bafalluy, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Restricted access - publisher's policy
    Planning of current and future mobile networks is becoming increasingly complex due to the heterogeneity of deployments, which feature not only macrocells, but also an underlying layer of small cells whose deployment is ...
  • Predicting QoS in LTE HetNets based on location-independent UE measurements 

    Moysen Cortes, Jessica; Giupponi, Lorenza; Baldo, Nicola; Mangues Bafalluy, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    This paper aims to find patterns of knowledge from physical layer data coming from Heterogeneous Long Term Evolution (LTE) networks. We discuss how the collected data is employed in such a manner that improves Minimization ...
  • Self coordination among SON functions in LTE heterogeneous networks 

    Moysen Cortes, Jessica; Giupponi, Lorenza (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Restricted access - publisher's policy
    In a self-organized Long Term Evolution (LTE) network, different Self-Organizing Network (SON) functions or different instances of the same SON function can execute parallel actions, which interact or collide among each ...
  • Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework 

    Moysen Cortes, Jessica; Giupponi, Lorenza (2015-12-01)
    Article
    Open Access
    We consider a distributed SON (D-SON) architecture where the interaction of different self-organizing network (SON) functions negatively affect the performances of the system. This is referred to in 3rd Generation Partnership ...
  • Self organisation for 4G/5G networks 

    Moysen Cortes, Jessica (Universitat Politècnica de Catalunya, 2016-10-07)
    Doctoral thesis
    Open Access
    Nowadays, the rapid growth of mobile communications is changing the world towards a fully connected society. Current 4G networks account for almost half of total mobile traffic, and in the forthcoming years, the overall ...