Statistical Delay and Error-Rate Bounded QoS Provisioning for AoI-Driven 6G Satellite-Terrestrial Integrated Networks Using FBC
Jingqing Wang, Wenchi Cheng, H. Vincent Poor

TL;DR
This paper develops analytical models for statistical QoS metrics, including AoI, delay, and reliability, in 6G satellite-terrestrial networks using HARQ-IR, addressing the challenges of data freshness and dynamic environments.
Contribution
It introduces novel statistical QoS frameworks and models for AoI and delay in 6G satellite-terrestrial networks employing HARQ-IR in the finite blocklength regime.
Findings
Effective modeling of AoI and delay in satellite-terrestrial networks.
HARQ-IR improves reliability and data freshness.
Simulation results validate the proposed QoS schemes.
Abstract
As one of the pivotal enablers for 6G, satellite-terrestrial integrated networks have emerged as a solution to provide extensive connectivity and comprehensive 3D coverage across the spatial-aerial-terrestrial domains to cater to the specific requirements of 6G massive ultra-reliable and low latency communications (mURLLC) applications, while upholding a diverse set of stringent quality-of-service (QoS) requirements. In the context of mURLLC satellite services, the concept of data freshness assumes paramount significance, as the use of outdated data may lead to unforeseeable or even catastrophic consequences. To effectively gauge the degree of data freshness for satellite-terrestrial integrated communications, the notion of age of information (AoI) has recently emerged as a novel dimension of QoS metrics to support time-sensitive applications. Nonetheless, the research efforts directed…
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Taxonomy
TopicsSatellite Communication Systems · Distributed and Parallel Computing Systems
MethodsSparse Evolutionary Training
