4.8 Article

End-to-End Delay Bound for Wireless uVR Services Over 6G Terahertz Communications

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 8, 期 23, 页码 17090-17099

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3077497

关键词

Delays; Reliability; Reliability theory; Wireless sensor networks; Internet of Things; Analytical models; 6G mobile communication; Stochastic network calculus (SNC); terahertz communications; virtual reality (VR)

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The upcoming 6G network technology will bring significant changes across various application scenarios, with virtual reality playing a crucial role in the new digital era. There is a growing demand for high rate, highly reliable, and low-latency communication, especially in Internet-of-Things environments. Effective end-to-end delay analysis is essential for efficient design of VR services.
The forthcoming sixth-generation (6G) network technology will trigger tremendous changes across several application scenarios and even in the way we work, communicate, and, more in general, organize our everyday life. In particular, in such a new digital era, virtual reality (VR) technology will play a fundamental role, carrying with it numerous challenges as regards the increasing demand of high rate, highly reliable, and low-latency communications, especially in reference to Internet-of-Things environments. In this sense, an effective end-to-end (e2e) delay analysis becomes imperative to pursue an efficient design of the foreseen VR services. Toward this goal, this article proposes the e2e delay investigation through the martingale theoretical bound and considering the stochastic network calculus principles for its formulation. The performance discussion focuses on the achieved communications reliability, comparing the analytical predictions obtained via the martingale bound with the simulation results, and the Markov queuing theory-based alternative. The presented results confirm the validity of the proposed approach, exhibiting noticeable closeness between the theoretical bound and the simulation outcomes.

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