Browsing by Author "Song, JaeSeung"
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- AI/ML Service Enablers & Model Maintenance for Beyond 5G Networks
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2023-09) Samdanis, Konstantinos; Nait Abbou, Aiman; Song, JaeSeung; Taleb, TarikArtificial Intelligence and Machine Learning (AI/ML) can transform mobile communications, enable new applications and services, and pave the way beyond 5G. The adoption of AI/ML may also advance network optimizations and service life-cycle management. This article provides an overview of AI/ML analytics exploring the main concepts in relation to network automation and service-based architectures. Furthermore, it sheds light on AI/ML analytics service enablers by considering a system-level approach elaborating on the key technologies related to service discovery, request, control, and reporting of AI/ML analytics. Finally, it provides an analysis for maintaining the services of AI/ML analytics up-to-date, by considering modifications of the AI/ML model in order to detect, interpret, and compensate for potential performance drifts. - Extremely Interactive and Low-Latency Services in 5G and beyond Mobile Systems
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2021-06-25) Taleb, Tarik; Nadir, Zinelaabidine; Flinck, Hannu; Song, JaeSeungThis article provides an overview on extremely interactive and low-latency immersive services as well as the relevant industry and standardization activities. Immersive services immerse a viewer or the viewed digital objects into an environment that is either real, virtual, or a mixture of both. The applications are accordingly named virtual reality, augmented reality, extended reality, and holography applications. These applications benefit from the ongoing advances in user interfaces, computing technologies, and networking technologies. Such applications are expected to generate most of the traffic in the next generation networks, particularly 6G networks. In this article, the main relevant use cases are introduced along with their respective requirements. The article also provides insights on the relevant architectures and solutions, and highlights some research challenges and directions. - VR-based Immersive Service Management in B5G Mobile Systems: A UAV Command and Control Use Case
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2023-03-15) Taleb, Tarik; Sehad, Nassim; Nadir, Zinelaabidine; Song, JaeSeungThe management of remote services, such as remote surgery, remote sensing, or remote driving, has become increasingly important, especially with the emerging 5G and Beyond 5G technologies. However, the strict network requirements of these remote services represent one of the major challenges that hinders their fast and large-scale deployment in critical infrastructures. This paper addresses certain issues inherent in remote and immersive control of virtual reality (VR)-based unmanned aerial vehicles (UAVs), whereby a user remotely controls UAVs, equipped with 360∘ cameras, using their Head-Mounted Devices (HMD) and their respective controllers. Remote and immersive control services, using 360∘ video streams, require much lower latency and higher throughput for true immersion and high service reliability. To assess and analyze these requirements, this paper introduces a real-life test-bed system that leverages different technologies (e.g., VR, 360∘ video streaming over 4G/5G, and edge computing). In the performance evaluation, different latency types are considered. They are namely: i) Glass-to-Glass latency between the 360∘ camera of a remote UAV and the HMD display, ii) user/pilot’s reaction latency, and iii) the command/execution latency. The obtained results indicate that the responsiveness (dubbed Glass-to-Reaction-to-Execution -GRE -latency) of a pilot, using our system, to a sudden event is within an acceptable range, i.e., around 900ms.