5G Radio Access Network Design with the Fog Paradigm: Confluence of Communications and Computing

Abstract

Cloud-based wireless networking system applies centralized resource pooling to improve operation efficiency. Fog-based wireless networking system reduces latency by placing processing units in the network edge. Confluence of fog and cloud design paradigms in 5G radio access network will better support diverse applications. In this article, we describe the recent advances in fog radio access network (F-RAN) research, hybrid fog-cloud architecture, and system design issues. Furthermore, the GPP platform facilitates the confluence of computational and communications processing. Through observations from GPP platform testbed experiments and simulations, we discuss the opportunities of integrating the GPP platform with F-RAN architecture.

Keywords

This publication has 9 references indexed in Scilit:

Enabling Low-Latency Applications in Fog-Radio Access Networks
IEEE Network, 2016
Fog RAN over General Purpose Processor Platform
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2016
Recent Advances in Fog Radio Access Networks: Performance Analysis and Radio Resource Allocation
IEEE Access, 2016
Fog-computing-based radio access networks: issues and challenges
IEEE Network, 2016
Fog and IoT: An Overview of Research Opportunities
IEEE Internet of Things Journal, 2016
The CTTC 5G End-to-End Experimental Platform : Integrating Heterogeneous Wireless/Optical Networks, Distributed Cloud, and IoT Devices
IEEE Vehicular Technology Magazine, 2016
Architecture Harmonization Between Cloud Radio Access Networks and Fog Networks
IEEE Access, 2015
Flexible 5G M2M network access with cognitive RAN: Survey and design principles
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2015
Living on the edge: The role of proactive caching in 5G wireless networks
IEEE Communications Magazine, 2014

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