A novel deep learning driven, low-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation Architecture (CDSA) (2019)

First Author: Ozturk M
Attributed to:  DARE: Distributed Autonomous and Resilient Emergency Management System funded by GCRF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.neucom.2019.01.031

Publication URI: http://dx.doi.org/10.1016/j.neucom.2019.01.031

Type: Journal Article/Review

Parent Publication: Neurocomputing