Ara es mostren els items 101-103 de 103

    • 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 ...
    • Uplink system and link level simulation of 3GPP-LTE Rel. 8 

      Lema, Maria A.; García Lozano, Mario; Olmos Bonafé, Juan José; Ruiz Boqué, Sílvia (2011)
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      3GPP LTE is the evolution of UMTS which will make possible to deliver next generation high quality multimedia services [1]. In LTE, Single Carrier Frequency Division Multiple Access (SC-FDMA) has been selected for the ...
    • User specific cell clustering to improve mobility robustness in 5G ultra-dense cellular networks 

      Joud, Mohammad; García Lozano, Mario; Ruiz Boqué, Sílvia (International Federation for Information Processing (IFIP), 2018)
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      One of the key challenges in very dense cellular network deployments is keeping mobility robustness. Connection dropping and throughput degradation appear significantly when considering vehicle to infrastructure communications. ...