Operators, vendors and academia have recognized the tremendous potential of large datasets in order to achieve the challenging requirements of future Radio Access Networks (RANs). It is now evident that “Big Data” enables crucial insights in RAN operation, leads to new operation paradigms, and enables a degree of optimization that goes far beyond the reactive and self-centered operation of wireless networks today. New system functions, which heavily rely on context information, user profiling and cross layer communication are now validated and are moving from research to product integration.
Despite its fast adoption in some system functions, a systematic understanding of the promises and challenges that “Big Data” will bring to the RAN of 5G+ are still elusive. This workshop aims to connect researchers in the diverse areas of machine learning, data mining, and wireless communications to consolidate the view on this exciting topic.
Researchers and engineers from industry and academia are cordially invited to present their work. Topics include but are not limited to:
Contributions of new models, bounds, methods, techniques, and system concepts in these or related fields are highly appreciated. The workshop encourages the presentation of ongoing work and the discussion of controversial research ideas.
The one-day workshop will take place on November 25, 2015 at Huawei’s conference center, 20 Quai du Point du Jour, Arcs de Seine, Bat. A, Etage -2, 92100, Boulogne-Billancourt.
Interested speakers are invited to send a title and abstract of their presentations to Dimitrios Tsilimantos <firstname.lastname@example.org> by October 12, 2015. Notification of acceptance will be given by October 23, 2015. All attendees are required to register by November 9, 2015 by email. Attendance is free of charge. Lunch and coffee breaks will be provided.
This workshop is supported by: