Statistical QoS Provisioning Architecture for 6G Satellite-Terrestrial Integrated Networks
Jingqing Wang, Wenchi Cheng, Wei Zhang, Hui Liang

TL;DR
This paper develops statistical QoS provisioning schemes for 6G satellite-terrestrial networks, focusing on finite blocklength regimes and key metrics like AoI, delay, and reliability to support ultra-reliable low latency applications.
Contribution
It introduces new analytical models for statistical QoS metrics in finite blocklength regimes tailored for 6G satellite-terrestrial networks, addressing their dynamic and complex environments.
Findings
Proposed statistical QoS schemes effectively bound AoI, delay, and reliability.
Simulation results validate the performance of the developed models.
Models support diverse QoS requirements in 6G satellite-terrestrial networks.
Abstract
The emergence of massive ultra-reliable and low latency communications (mURLLC) as a category of time/reliability-sensitive service over 6G networks has received considerable research attention, which has presented unprecedented challenges. As one of the key enablers for 6G, satellite-terrestrial integrated networks (STIN) have been developed to offer more expansive connectivity and comprehensive 3D coverage in space-aerial-terrestrial domains for supporting 6G mission-critical mURLLC applications while fulfilling diverse and rigorous quality of service (QoS) requirements. In the context of these mURLLC-driven satellite services, data freshness assumes paramount importance, as outdated data may engender unpredictable or catastrophic outcomes. To effectively measure data freshness in satellite-terrestrial integrated communications, age of information (AoI) has recently surfaced as a new…
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Taxonomy
TopicsSatellite Communication Systems · Wireless Communication Networks Research · Spacecraft Design and Technology
Methodstravel james · Sparse Evolutionary Training
