Service-Tailored User-Plane Design Framework and Architecture Considerations in 5G Radio Access Networks

Pateromichelakis, Emmanouil; Gebert, Jens; Mach, Tomasz; Belschner, Jakob; Guo, Wei; Kuruvatti, Nandish P.; Venkatasubramanian, Venkatkumar; Kilinc, Caner

doi:10.1109/access.2017.2736579

Cited by 27 publications

(10 citation statements)

References 12 publications

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“…CUPS has become a cornerstone of the 3GPP 5G architecture [60,61]. However, full control/user plane separation is not trivial, and is currently the subject of extensive research [62,63]. This is the target of SoftRAN [50], where control operations can be centralized or distributed according to time requirements.…”

Section: B Software-defined Wireless Networkmentioning

confidence: 99%

Software-Defined Vehicular Networking: Opportunities and Challenges

et al. 2020

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Section: B Software-defined Wireless Networkmentioning

confidence: 99%

Software-Defined Vehicular Networking: Opportunities and Challenges

et al. 2020

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“…5G Phase 1 has been finalized, and the first features of RAN have been specified mainly for the eMBB scenarios, focusing on (non-standalone, standalone) architecture and protocol aspects [14]. One of the key design considerations for RAN is the flexibility of RAN deployments, where the 5G RAN access nodes (aka gNB) can be split horizontally (Central Unit (CU) -Distributed Unit (DU)) or vertically (CP -User Plane (UP)) to allow for flexible and service-tailored virtualization of RAN functionalities in different nodes, cf.…”

Section: A 5g Ran Architecturementioning

confidence: 99%

End-to-End Data Analytics Framework for 5G Architecture

et al. 2019

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Data analytics can be seen as a powerful tool for the fifth-generation (5G) communication system to enable the transformation of the envisioned challenging 5G features into a reality. In the current 5G architecture, some first features toward this direction have been adopted by introducing new functions in core and management domains that can either run analytics on collected communication-related data or can enhance the already supported network functions with statistics collection and prediction capabilities. However, possible further enhancements on 5G architecture may be required, which strongly depend on the requirements as set by vertical customers and the network capabilities as offered by the operator. In addition, the architecture needs to be flexible in order to deal with network changes and service adaptations as requested by verticals. This paper explicitly describes the requirements for deploying data analytics in a 5G system and subsequently presents the current status of standardization activities. The main contribution of this paper is the investigation and design of an integrated data analytics framework as a key enabling technology for the service-based architectures (SBAs). This framework introduces new functional entities for application-level, data network, and access-related analytics to be integrated into the already existing analytics functionalities and examines their interactions in a service-oriented manner. Finally, to demonstrate predictive radio resource management, we showcase a particular implementation for application and radio access network analytics, based on a novel database for collecting and analyzing radio measurements. INDEX TERMS 5G, architecture, data analytics, network slicing. I. INTRODUCTION The fifth generation (5G) mobile communications system is characterized by a wide-range of services grouped under three generic service types, namely, enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable and low-latency communications (URLLC). The network slicing concept is introduced in 5G to address the various requirements from multiple vertical industries assuming a shared physical network infrastructure. A network slice can be customized according to the needs of vertical industries and services to be supported. Network slicing is a key pillar in 5G networks. The associate editor coordinating the review of this manuscript and approving it for publication was Kostas Psannis. The end-to-end (E2E) nature imposes domain-specific requirements that will span over multiple technical domains, i.e., radio access network (RAN), transport network, and core network (CN). In addition, 5G shall be supported by a management and orchestration (M&O) layer in order to meet defined service-level agreements (SLAs) for network slices of different nature. In 3rd generation partnership project (3GPP), four standard slice/service types (SSTs) have been introduced, namely, eMBB, mMTC, URLLC, and vehicleto-everything (V2X) SSTs, which aim to provide differen...

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“…This idea of supporting multiple configurations of the RAN in 5G was envisioned in the METIS II project, which outlined the need for air interface variants (AIVs) that are optimized for one or more target scenarios/services [9]. A user-plane design framework for a service-tailored 5G RAN is outlined in [10], incorporating the idea of AIVs.…”

Section: Ran Profilesmentioning

confidence: 99%

Customization and Trade-offs in 5G RAN Slicing

2019

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The heterogeneity of the requirements for 5G necessitate a versatile 5G radio access network (RAN); slicing offers a way of realising a flexible RAN through customised virtual subnetworks. In this paper, we focus on how enabling lower layer flexibility in the RAN affects the development of RAN slicing, particularly in relation to ensuring isolation between RAN slices. We first examine how RAN slices may be individually tailored for different services. We follow this up with an examination of the potential time-frequency resource structure of the RAN, focusing on the trade-off between flexibility and the overhead related to ensuring coexistence between contrasting RAN slices. Based on this analysis, we suggest an approach that permits the allocation of resources to a service-type to be performed separately to resource allocation for individual services belonging to that type.

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Service-Tailored User-Plane Design Framework and Architecture Considerations in 5G Radio Access Networks

Cited by 27 publications

References 12 publications

Software-Defined Vehicular Networking: Opportunities and Challenges

Software-Defined Vehicular Networking: Opportunities and Challenges

End-to-End Data Analytics Framework for 5G Architecture

Customization and Trade-offs in 5G RAN Slicing

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