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Energy Efficiency Benefits of RAN-as-a-Service Concept for a Cloud-Based 5G Mobile Network Infrastructure

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TLDR
A vision of the advantages of the RANaaS is given, its benefits in terms of energy efficiency are presented, and a consistent system-level power model is proposed as a reference for assessing innovative functionalities toward 5G systems.
Abstract
This paper focuses on energy efficiency aspects and related benefits of radio-access-network-as-a-service (RANaaS) implementation (using commodity hardware) as architectural evolution of LTE-advanced networks toward 5G infrastructure. RANaaS is a novel concept introduced recently, which enables the partial centralization of RAN functionalities depending on the actual needs as well as on network characteristics. In the view of future definition of 5G systems, this cloud-based design is an important solution in terms of efficient usage of network resources. The aim of this paper is to give a vision of the advantages of the RANaaS, to present its benefits in terms of energy efficiency and to propose a consistent system-level power model as a reference for assessing innovative functionalities toward 5G systems. The incremental benefits through the years are also discussed in perspective, by considering technological evolution of IT platforms and the increasing matching between their capabilities and the need for progressive virtualization of RAN functionalities. The description is complemented by an exemplary evaluation in terms of energy efficiency, analyzing the achievable gains associated with the RANaaS paradigm.

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A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

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Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

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5G mobile technology: A survey

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Energy Saving Technology of 5G Base Station Based on Internet of Things Collaborative Control

TL;DR: The research shows that the method proposed has a certain energy-saving effect, can meet the energy efficiency requirements of 5G ultra dense base station, and in the ultra densebase station group, the complexity can also meet the system operation requirements, which has aCertain degree of practicality, and can provide reference for the follow-up related research.
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5G: Adaptable Networks Enabled by Versatile Radio Access Technologies

TL;DR: This paper surveys the choices and adaptability afforded by some of the radio access technologies being considered for 5G and explores how several system-level techniques can be utilized to enable and manage versatile 5G networks.
References
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TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Journal ArticleDOI

How much energy is needed to run a wireless network

TL;DR: The most important addenda of the proposed E3F are a sophisticated power model for various base station types, as well as large-scale long-term traffic models, which are applied to quantify the energy efficiency of the downlink of a 3GPP LTE radio access network.
Journal ArticleDOI

Toward green and soft: a 5G perspective

TL;DR: The perspective of the 5G technologies with two major themes: green and soft is presented, showing that by rethinking the Shannon theorem and traditional cell-centric design, network capacity can be significantly increased while network power consumption is decreased.
Journal ArticleDOI

Cloud technologies for flexible 5G radio access networks

TL;DR: How cloud technologies and flexible functionality assignment in radio access networks enable network densification and centralized operation of the radio access network over heterogeneous backhaul networks is discussed.
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Cloud Computing Synopsis and Recommendations

TL;DR: This document reprises the NIST-established definition of cloud computing, describes cloud computing benefits and open issues, presents an overview of major classes of cloud technology, and provides guidelines and recommendations on how organizations should consider the relative opportunities and risks of cloud Computing.
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