How can machine learning help the design of future communication networks-and how can
future networks meet the demands of emerging machine learning applications? Discover the …

The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …

Big data offers a plethora of opportunities to mobile network operators for improving quality
of service. This article explores various means of integrating big data analytics with network …

Currently, the world is witnessing a mounting avalanche of data due to the increasing
number of mobile network subscribers, Internet websites, and online services. This trend is …

In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

A comprehensive review to the theory, application and research of machine learning for
future wireless communications In one single volume, Machine Learning for Future Wireless …

Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …