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A Machine Learning Approach to 5G Infrastructure Market Optimization.

, , , , and . IEEE Trans. Mob. Comput., 19 (3): 498-512 (2020)

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A Flexible Network Architecture for 5G Systems., , , , , , , , , and 3 other author(s). Wirel. Commun. Mob. Comput., (2019)Forecasting for Network Management with Joint Statistical Modelling and Machine Learning., , , , and . WoWMoM, page 60-69. IEEE, (2022)A Machine Learning Approach to 5G Infrastructure Market Optimization., , , , and . IEEE Trans. Mob. Comput., 19 (3): 498-512 (2020)Resource Sharing Efficiency in Network Slicing., , , , and . IEEE Trans. Network and Service Management, 16 (3): 909-923 (2019)Experimenting with SRv6: a Tunneling Protocol supporting Network Slicing in 5G and beyond., , , , , and . CAMAD, page 1-6. IEEE, (2020)Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis., , , , and . MedComNet, page 1-8. IEEE, (2020)Demo: vrAIn Proof-of-Concept - A Deep Learning Approach for Virtualized RAN Resource Control., , , , , and . MobiCom, page 59:1-59:3. ACM, (2019)vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs., , , , , and . MobiCom, page 30:1-30:16. ACM, (2019)Measurement-Based Modeling of Interarrivals for the Simulation of Highway Vehicular Networks., , and . IEEE Commun. Lett., 18 (12): 2181-2184 (2014)Virtual Induction Loops Based on Cooperative Vehicular Communications., , and . Sensors, 13 (2): 1467-1476 (2013)