Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases

Abstract

Media use cases for emergency services require mission-critical levels of reliability for the delivery of media-rich services such as video streaming. With the upcoming deployment of the Fifth Generation (5G) networks, a wide variety of applications and services with heterogeneous performance requirements are expected to be supported, and any migration of missioncritical services to 5G networks presents significant challenges in the Quality of Service (QoS), for emergency service operators. This paper presents a novel SliceNet framework, based on advanced and customisable network slicing to address some of the highlighted challenges in migrating eHealth telemedicine services to 5G networks. An overview of the framework outlines the technical approaches in beyond the-state-of-the-art network slicing. Subsequently, the paper emphasises the design and prototyping of a media-centric eHealth use case, focusing on a set of innovative enablers towards achieving end-to-end QoS-aware network slicing capabilities, required by this demanding use case. Experimental results empirically validate the prototyped enablers and demonstrate the applicability of the proposed framework in such media-rich use cases.

Multi-Access Edge Computing: A Survey

“…Many works have proposed frameworks for network slicing for 5G services [106], [107], [110]- [112]. For instance, the work of [111] presented an end-to-end network slicing framework for 5G IoT networks in a MEC ecosystem.…”

“…Each tenant can request an amount of computing, storage or networking resources related to the desired slice, and the framework is responsible for admitting the slice request and instantiating the network slice. In [112], authors proposed a novel SliceNet framework, based on recent advances on network slicing to address challenges regarding the migration of eHealth telemedicine services to 5G networks. Authors highlighted the design and the prototype of a mediacentric eHealth use case, considering a set of innovative enablers in order to achieve end-to-end QoS-aware network slicing.…”

“…In [43] a VNF placement approach is proposed which considers the existence of edge servers and cloud servers in order to provide network services Optimization approach SDN NFV SFC 5G Slicing Yala et al [38] • • Cziva et al [40] • • Yang et al [41] • • Leivadeas et al [43] • Kaur et al [61] • [114] • • Ren et al [115] • Yang et al [116] • • Son et al [44] • • • Alameddine et al [117] • • Chen et al [118] • Li et al [119] • • • Chen et al [120] • Ahn et al [121] • • Li et al [122] • • Liang et al [123] • Blanco et al [126] • • Yang et al [124] • Liu et al [125] • Zhang et al [127] • Chen et al [128] • • Guo et al [131] • Tran et al [132] • Zhang et al [133] • Zhao et al [135] • Wang et al [143] • • • Sanchez et al [111] • Tun et al [145] • Martiradonna et al [146] • Taleb et al [113] • • • Mena et al [103] • Wang t al. [112] • Xiang et al [147] • • Tun et al [144] •…”

Demonstrating Immersive Media Delivery on 5G Broadcast and Multicast Testing Networks

“…In M&E use cases, broadcast and multicast transmissions facilitate the distribution of audio-visual media content and services, particularly to cover popular live events for a very large number of concurrent users [17] [18].…”

eXP-RAN—An Emulator for Gaining Experience With Radio Access Networks, Edge Computing, and Slicing

“…In this use-case, we illustrate how eXP-RAN can emulate two network slices, from different tenants with different QoS demands, and analyze how they are affected as workload increases. Scenarios with two network slices are commonly used in the literature to illustrate the benefits of using network slicing [37], [38]. We considered two slices.…”