Author:
Theodoropoulos Theodoros,Makris Antonios,Boudi Abderrahmane,Taleb Tarik,Herzog Uwe,Rosa Luis,Cordeiro Luis,Tserpes Konstantinos,Spatafora Elena,Romussi Alessandro,Zschau Enrico,Kamarianakis Manos,Protopsaltis Antonis,Papagiannakis George,Dazzi Patrizio
Abstract
In recent years, the emergence of XR (eXtended Reality) applications, including Holography, Augmented, Virtual and Mixed Reality, has resulted in the creation of rather demanding requirements for Quality of Experience (QoE) and Quality of Service (QoS). In order to cope with requirements such as ultra-low latency and increased bandwidth, it is of paramount importance to leverage certain technological paradigms. The purpose of this paper is to identify these QoE and QoS requirements and then to provide an extensive survey on technologies that are able to facilitate the rather demanding requirements of Cloud-based XR Services. To that end, a wide range of enabling technologies are explored. These technologies include e.g. the ETSI (European Telecommunications Standards Institute) Multi-Access Edge Computing (MEC), Edge Storage, the ETSI Management and Orchestration (MANO), the ETSI Zero touch network & Service Management (ZSM), Deterministic Networking, the 3GPP (3rd Generation Partnership Project) Media Streaming, MPEG’s (Moving Picture Experts Group) Mixed and Augmented Reality standard, the Omnidirectional MediA Format (OMAF), ETSI’s Augmented Reality Framework etc.
Publisher
Institute of Electronics and Computer
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Split Rendering with L4S Over 5G for Latency Critical Interactive XR Applications;IEEE Communications Magazine;2024-08
2. A Performance Analysis Modeling Framework for Extended Reality Applications in Edge-Assisted Wireless Networks;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23
3. A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
4. Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach;Proceedings of the 4th Workshop on Flexible Resource and Application Management on the Edge;2024-06-03
5. Urgent Edge Computing;Proceedings of the 4th Workshop on Flexible Resource and Application Management on the Edge;2024-06-03