Chapter 12

Traffic Steering and Resource Management

Ömer Bulakçı

Ömer Bulakçı

Huawei German Research Center, Germany

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Klaus Pedersen

Klaus Pedersen

Nokia Bell Labs, Denmark

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David Gutierrez Estevez

David Gutierrez Estevez

Samsung Electronics R&D Institute, UK

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Athul Prasad

Athul Prasad

Nokia Bell Labs, Finland

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Fernando Sanchez Moya

Fernando Sanchez Moya

Nokia, Poland

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Jan Christoffersson

Jan Christoffersson

Ericsson, Sweden

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Yang Yang

Yang Yang

Intel, Germany

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Emmanouil Pateromichelakis

Emmanouil Pateromichelakis

Huawei German Research Center, Germany

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Paul Arnold

Paul Arnold

Deutsche Telekom, Germany

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Tommy Svensson

Tommy Svensson

Chalmers University of Technology, Sweden

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Tao ChenHonglei Miao

Honglei Miao

Intel, Germany

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Martin Kurras

Martin Kurras

Fraunhofer Heinrich Hertz Institute, Germany

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Samer Bazzi

Samer Bazzi

Huawei German Research Center, Germany

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Stavroula Vassaki

Stavroula Vassaki

WINGS ICT Solutions, Greece

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Evangelos Kosmatos

Evangelos Kosmatos

WINGS ICT Solutions, Greece

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Kwang Taik Kim

Kwang Taik Kim

Samsung Electronics, Republic of Korea

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Giorgio Calochira

Giorgio Calochira

Telecom Italia, Italy

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Jakob Belschner

Jakob Belschner

Deutsche Telekom, Germany

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Sergio Barberis

Sergio Barberis

Telecom Italia, Italy

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Taylan Şahin

Taylan Şahin

Huawei German Research Center, Germany

Technische Universität Berlin, Germany

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First published: 10 April 2018

Summary

This chapter provides an overview of the fast traffic steering and radio resource management (RRM) mechanisms envisioned for 5th generation (5G). It presents briefly the quality of service (QoS) framework for 5G networks, focusing on service classification mechanisms. The chapter focuses on the network-controlled resource allocation for scheduled unicast transmissions between the network infrastructure and user equipments (UEs). In addition to dynamic scheduling, also semi-persistent scheduling (SPS) mechanisms and various forms of grant-free scheduling are of relevance for 5G, especially for the uplink (UL) direction. The chapter considers the use of fast-timescale dynamic traffic steering between various AI variants (AIVs) within the 5G network as a key enabler of various network key performance indicators (KPIs) ranging from high-capacity to ultra-reliability. It also presents two mechanisms for the energy-efficient moderation of radio access network (RAN) nodes, which includes base stations (BSs) and related backhaul (BH) links.

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