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

TL;DR
This paper develops statistical QoS provisioning schemes for satellite-terrestrial networks, focusing on bounding AoI, delay, and error-rate to support ultra-reliable low latency communications.
Contribution
It introduces a novel framework for modeling and bounding multiple QoS metrics in satellite-terrestrial networks within the finite blocklength regime.
Findings
Derived fundamental statistical QoS metrics including AoI, delay, and error-rate bounds.
Validated the proposed schemes through simulations demonstrating effective QoS provisioning.
Established a comprehensive model for satellite-terrestrial integrated wireless networks.
Abstract
Massive ultra-reliable and low latency communications (mURLLC) has emerged to support wireless time/error-sensitive services, which has attracted significant research attention while imposing several unprecedented challenges not encountered before. By leveraging the significant improvements in space-aerial-terrestrial resources for comprehensive 3D coverage, satellite-terrestrial integrated networks have been proposed to achieve rigorous and diverse quality-of-services (QoS) constraints of mURLLC. To effectively measure data freshness in satellite communications, recently, age of information (AoI) has surfaced as a novel QoS criterion for ensuring time-critical applications. Nevertheless, because of the complicated and dynamic nature of network environments, how to efficiently model multi-dimensional statistical QoS provisioning while upper-bounding peak AoI, delay, and error-rate for…
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Taxonomy
TopicsSatellite Communication Systems · Age of Information Optimization · Spacecraft Design and Technology
MethodsSparse Evolutionary Training
