Scope and Objectives:
This workshop explores novel concepts to allow for flexibly centralised radio access networks using cloud-processing based on open IT platforms, exploiting network virtualization and multi-access edge computing technologies that are recognized as key enablers for the definition of 5G systems and beyond. The aim is to allow for a guaranteed high quality of experience for mobile access via efficient management of cloud resources and services, and to allow for a future network evolution focused on energy efficiency and cost-effectiveness. In fact, all future innovative network solutions will be conceived and deployed with a long term perspective of sustainability, both in terms of energy consumption of the mobile network, its related interoperability with terminals and the cost efficiency of the different deployment and management options. This requires new concepts for the design, operation, and optimization of radio access networks, backhaul networks, operation and management algorithms, and architectural elements, tightly integrating mobile networks and cloud-processing. The emerging paradigm of distributed cloud environment is also a key topic. This workshop will cover technologies across PHY, MAC, and network layers, technologies which extrapolate the cloud-paradigm to the radio access and backhaul network, and will analyse the network evolution from an energy efficiency perspective. It will study the requirements, constraints, and implications for mobile communication networks, and also potential relationship with the offered service, both from an academic and industrial point of view.
We solicit original submissions in the following areas:
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Important Dates:
Paper Submission: 20/01/2020 Extended to 01/02/2020
Acceptance Notification: 20/02/2020
Camera-Ready: 01/03/2020
Workshop: 11/06/2020
Submission Guidelines:
Accepted papers should be presented for publication in IEEE Xplore. A full version of each paper has to be submitted through the EDAS system under the workshop track. Guidelines for submission can be found in the CLEEN2020 Workshop Page in the ICC2020 website .
See also the ICC2020 website for further information.