… to cellular networks, WLANs have received much less attention when designing AI-aware
architectural solutions. The fact is that cellular-based … available for mobile network operators. In …

… were discussed based on an extrapolation of the evolution trends of previous mobile network
… of 5G networks in the context of meeting the growing network performance demands. The …

… The IoT driven mobile networks gathers large amount of data … decision in predicitng the future
growth of population and needs of … of the joint AI and mobile networks. Because AI enabled …

… Based on AI-enabled intelligent 6G networks, we introduce the applications of AI techniques
in the context of AI-empowered mobile edge computing, intelligent mobility … them, machine …

… This paper develops a robust optimization model for combined facility … robust optimization
method to deal with the uncertainty and derive the robust counterpart of the proposed model …

… of user and network level performance of a cellular network that serves both UAVs …
network-UAV based solutions to allow an adequate integration of flying nodes into cellular networks…

… The system model and assumptions are detailed as follows. 1) We consider a cellular network
with a base station serv… RB-based granularity is expected to be preserved in 5G cellular …

… learning, mathematical, model-based, heuristic-based, or a hybrid form of mentioned … on
machine learning-based techniques, which are suitable for the dynamic behavior of Mobile …

… Our envisaged moving access infrastructures will offer mobile operators an opportunity to
dramatically boost system capacity in their desired area of interest on demand, by dynamically …

… and explore the application of DL for mobile networks extensively. Insights on tailoring the
concepts of DL for mobile networks along with future research perspectives make the article [9…