Traffic Steering and Resource Management
Book chapter, 2018
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.
service classification mechanisms
5G network
traffic steering
energy-efficient RAN moderation
quality of service framework
dynamic multi-service scheduling
fast-timescale dynamic traffic steering
resource management
Author
Ömer Bulakçı
Huawei
Klaus Pedersen
Nokia
David Gutierrez Estevez
Samsung
Athul Prasad
Nokia
Fernando Sanchez Moya
Nokia
Jan Christoffersson
Ericsson
Yang Yang
Intel Corporation
Emmanouil Pateromichelakis
Huawei
Paul Arnold
Deutsche Telekom
Tommy Svensson
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Tao Chen
Technical Research Centre of Finland (VTT)
Honglei Miao
Intel Corporation
Martin Kurras
Fraunhofer-Institut fur Nachrichtentechnik Heinrich-Hertz-Institut - HHI
Samer Bazzi
Huawei
Stavroula Vassaki
WINGS ICT Solutions
Evangelos Kosmatos
WINGS ICT Solutions
Kwang Taik Kim
Samsung
Giorgio Calochira
Telecom Italia S.P.A
Jakob Belschner
Deutsche Telekom
Sergio Barberis
Telecom Italia S.P.A
Taylan Şahin
Huawei
Technische Universität Berlin
5G System Design: Architectural and Functional Considerations and Long Term Research
315-365
9781119425144 (ISBN)
Subject Categories (SSIF 2025)
Telecommunications
DOI
10.1002/9781119425144.ch12