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Wireless Communications Transfer Protocol (WCTP) is the method used to send messages to wireless devices such as pagers on NPCS (Narrowband PCS) networks.
It uses HTTP as a transport layer over the World Wide Web.
Given the ubiquitous smart mobile gadgets and Internet of Things (Io T) devices, it is expected that a majority of intelligent applications will be deployed at the edge of wireless networks.
This trend has generated strong interests in realizing an "intelligent edge" to support AI-enabled applications at various edge devices.
For many midsize companies, the Cloud may not seem error-proof due to a growing list of challengestechnical, financial, and personnel.
So, how can IT pros today deliver on the value of Cloud services and applications, while mitigating these resource constraints?Accordingly, a new research area, called edge learning, emerges, which crosses and revolutionizes two disciplines: wireless communication and machine learning.A major theme in edge learning is to overcome the limited computing power, as well as limited data, at each edge device.While potential benefits are there, small and midmarket organizations may have fewer resources available and can find difficulty in realizing the full value of the enterprise mobility infrastructure.Often, organizations find themselves having to make trade-offs between richness of functionality and available resources.This is accomplished by leveraging the mobile edge computing (MEC) platform and exploiting the massive data distributed over a large number of edge devices.In such systems, learning from distributed data and communicating between the edge server and devices are two critical and coupled aspects, and their fusion poses many new research challenges.This article advocates a new set of design principles for wireless communication in edge learning, collectively called learning-driven communication.Illustrative examples are provided to demonstrate the effectiveness of these design principles, and unique research opportunities are identified.Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.Awards will be given for the most outstanding paper presented and best graduate and undergraduate student papers presented.