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    • A machine learning enabled network planning tool 

      Moysen Cortes, Jessica; Giupponi, Lorenza; Mangues Bafalluy, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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      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
      Accés obert
      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 ...

    • Big data-driven automated anomaly detection and performance forecasting in mobile networks 

      Moysen Cortes, Jessica; Ahmed, Furqan; García Lozano, Mario; Niëmela, Jarno (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      The massive amount of data available in operational mobile networks offers an invaluable opportunity for operators to detect and analyze possible anomalies and predict network performance. In particular, application of ...

    • 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
      Accés obert
      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 ...

    • Learning-based tracking area list management in 4G and 5G networks 

      Moysen Cortes, Jessica; García Lozano, Mario (2020-08-01)
      Article
      Accés obert
      Mobility management in 5G networks is a very challenging issue. It requires novel ideas and improved management so that signaling is kept minimized and far from congesting the network. Mobile networks have become massive ...

    • 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)
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      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)
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      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)
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      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 organisation for 4G/5G networks 

      Moysen Cortes, Jessica (Universitat Politècnica de Catalunya, 2016-10-07)
      Tesi
      Accés obert
      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 ...

    • Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework 

      Moysen Cortes, Jessica; Giupponi, Lorenza (2015-12-01)
      Article
      Accés obert
      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 ...

    • Unsupervised learning for detection of mobility related anomalies in commercial LTE networks 

      Moysen Cortes, Jessica; Ahmed, Furqan; García Lozano, Mario; Niëmela, Jarno (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      We propose an unsupervised learning based anomaly detection framework for identifying cells experiencing performance degradation due to mobility problems, in LTE networks. Handover failure rate is used as a performance ...