Exploració per autor "García Lozano, Mario"
Ara es mostren els items 101-103 de 103
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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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Accés restringit per política de l'editorialWe 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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Accés restringit per política de l'editorial3GPP 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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Accés restringit per política de l'editorialOne 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. ...