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Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge.

, , , and . GLOBECOM, page 1-6. IEEE, (2020)

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Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge., , , and . GLOBECOM, page 1-6. IEEE, (2020)Caching at the Mobile Edge: A Practical Implementation., , , , and . IEEE Access, (2018)Impact of NOMA on Network Capacity Dimensioning for 5G HetNets., and . IEEE Access, (2018)Optimising TCP for Cloud-Based Mobile Networks., and . VTC Spring, page 1-5. IEEE, (2016)Towards flexbile SDN-based management for cloud-based mobile networks., , , and . NOMS, page 474-480. IEEE, (2016)Fronthaul for Cloud-RAN Enabling Network Slicing in 5G Mobile Networks., , and . Wirel. Commun. Mob. Comput., (2018)Synchronization challenges in packet-based Cloud-RAN fronthaul for mobile networks., , , and . ICC Workshops, page 2721-2726. IEEE, (2015)Evaluating C-RAN fronthaul functional splits in terms of network level energy and cost savings., , , and . J. Commun. Networks, 18 (2): 162-172 (2016)Toward Greener 5G and Beyond Radio Access Networks - A Survey., , , and . IEEE Open J. Commun. Soc., (2023)Energy Consumption Modelling of Next Generation Mobile Crosshaul Networks., , , and . iThings/GreenCom/CPSCom/SmartData/Cybermatics, page 153-160. IEEE, (2021)