AoI-Driven statistical delay and error-rate bounded QoS Provisioning for URLLC in the finite blocklength regime

Xi Zhang, Jingqing Wang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Inspired by the new and dominating traffic services - ultra-reliable and low latency communications (URLLC), finite blocklength coding (FBC) has been developed to support delay and error-rate bounded quality-of-services (QoS) provisioning for time-sensitive wireless applications by using short-packet data communications. On the other hand, the age of information (AoI) has recently emerged as a new dimension of QoS performance metric in terms of the freshness of updated information. Since the status updates normally consist only of a small number of information bits but warrant ultra-low latency, exploring AoI in the finite blocklength regime creates another promising solution for supporting URLLC services. However, how to efficiently integrate and implement the above new techniques for statistical delay and error-rate bounded QoS provisioning in the finite blocklength regime has neither been well understood nor thoroughly studied. To overcome these challenges, we propose the AoI-driven statistical delay and error-rate bounded QoS provisioning schemes which leverage the AoI technique as a key QoS performance metric to efficiently support URLLC in the finite blocklength regime. First, we build up the AoI-metric based modeling frameworks in the finite blocklength regime. Second, we apply the stochastic network calculus (SNC) to characterize the upper-bounded peak AoI violation probability. Third, we jointly optimize the peak AoI violation probability and -effective capacity and characterize their tradeoff in supporting statistical delay and error-rate bounded QoS provisioning for URLLC. Finally, we conduct the extensive simulations to validate and evaluate our developed schemes in the finite blocklength regime.

Original languageEnglish (US)
Title of host publication2021 55th Annual Conference on Information Sciences and Systems, CISS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412681
DOIs
StatePublished - Mar 24 2021
Event55th Annual Conference on Information Sciences and Systems, CISS 2021 - Baltimore, United States
Duration: Mar 24 2021Mar 26 2021

Publication series

Name2021 55th Annual Conference on Information Sciences and Systems, CISS 2021

Conference

Conference55th Annual Conference on Information Sciences and Systems, CISS 2021
CountryUnited States
CityBaltimore
Period3/24/213/26/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

Keywords

  • -effective capacity
  • AoI
  • FBC
  • SNC
  • Statistical delay and error-rate bounded QoS
  • URLLC

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