… 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 …

… 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 …

… 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 …

… 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 …

… a set of heterogeneous resources in network edge situated … can be used in several related
domains, including big data … : a Radio Access Network (RAN), a mobile network, a Long-…

… 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 …

… of widely heterogeneous data generated from 6G networks will … networks with mobile
edge computing and caching for smart cities: A big data deep reinforcement learning approach…

… data traffic in wireless mobile networks. In order to satisfy the coverage and capacity demands
from the ever-increasing growth of mobile network … theoretical limit, network operators are …

… In this paper, algorithm 1 is a reinforcement learning-based multimedia data segregation
algorithm (RLMDS) used for the classification of healthcare data in a heterogeneous network is …

… to Big Data Quality management through the Big Data lifecycle. … of such a management
perspective is to provide users or data … The data in Big Data comes from (1) heterogeneous data …