… review the related works including big data and tensor decomposition, heterogeneous
networks, data-center-based networks, and routing recommendation methods. Then we present a …

… , big data generated from large-scale wireless networks is often … volume, real-time velocity,
and huge value. The growth of … wireless networks being featured of heterogeneous data types …

… the Quality of Service (QoS) requirements in different applications due to the dynamic network
condition, heterogeneous … Security in wireless network forms an important and essential …

… target cell and should determine the network/public land mobile network (PLMN) to which it
… better signal quality within the frequency band, and thus, it provides better quality service by …

… involves large amounts of data in heterogeneous vehicular networks. By using optimization
… The physical infrastructure is identical to that used by the MVNOs (mobile network providers…

… and management of IoT big data will become larger. Therefore, after completing the data
storage work, the statistical analysis of the data … edge computing for heterogeneous Internet of …

… heterogeneity of future IoT-based edge computing networks. In … is to manage and monitor
the large data amount coming from … business models for resource sharing in wireless networks. …

… of large-scale data computation and processing. This paper presents a Hadoop-based
architecture to deal with Big Data … the data from the society by deploying heterogeneous sensors …

… Big Data from heterogeneous devices in the smart city. Thorough analysis of collected Big
Data … His area of expertise includes ad-hoc and wireless networks, architecture designing for …

… We have introduced fog learning, a new paradigm for distributing ML model training through
largescale networks of heterogeneous devices. We have demonstrated that fog learning is …