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Turning Immersive Viewers into Analytical Workspaces: ASCRIBE-XR and Agent-Driven Scientific Visualization. [PDF]
Pandolfi R +4 more
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Secondary Ion-Ice Chemistry in UV-Irradiated Oxygen Ice: New Astrochemical Models Including Bulk Ionic Species. [PDF]
Darnell K +8 more
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Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
T S, Devadas RM.
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Recent research in cloud radio access network (C-RAN) for 5G cellular systems - A survey
Abstract Traditional architectures of cellular networks are facing tremendous challenges due to unprecedented increase in mobile data traffic, limited spectrum availability and high power consumption. In light of this, industries as well as research communities are in constant search for fundamental breakthroughs in developing novel network ...
Md. Farhad Hossain +4 more
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Cloud radio access network (C-RAN): a primer
IEEE Network, 2015In the era of mobile Internet, mobile operators are facing pressure on ever-increasing capital expenditures and operating expenses with much less growth of income. Cloud Radio Access Network (C-RAN) is expected to be a candidate of next generation access network techniques that can solve operators' puzzle.
Jun Wu 0006 +3 more
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Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs)
Ad Hoc Networks, 2015The Radio Access Network (RAN) is the most important part of a cellular wireless network. However, current cellular architectures have several disadvantages: they are not compatible with today's users' data-rate requests and do not leverage recent wireless enhancement techniques to achieve those data rates.
Dario Pompili +2 more
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Dynamic Operations of Cloud Radio Access Networks (C-RAN) for Mobile Cloud Computing Systems
IEEE Transactions on Vehicular Technology, 2016In this paper, we jointly consider cloud radio access networks (C-RAN) and mobile cloud computing (MCC) in a holistic framework. In particular, we study how to dynamically operate C-RAN to enhance the end-to-end performance of MCC services in next-generation wireless networks.
Yegui Cai, F. Richard Yu, Shengrong Bu
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