Recursive Optimization of Finite Blocklength Allocation to Mitigate Age-of-Information Outage
Abstract
As an emerging metric for the timeliness of information delivery, Age-of-Information (AoI) raises a special interest in the research area of tolerance-critical communications, wherein sufficiently short blocklength is usually adopted as an essential requirement. However, the interplay between AoI and finite blocklength is scantly treated. This paper studies the occurrence of high AoI, i.e., AoI outage, in TDMA systems with respect to the blocklength allocation among users. A Markov Decision Process model is set up for the problem, which enables a static state analysis, and therewith a policy iteration approach to improve the AoI robustness is proposed. The burstiness of outages is also analyzed to provide additional insights into this problem in the finite blocklength (FBL) regime. It is shown that, different from average AoI optimizations, a risk-sensitive approach is significantly beneficial for AoI outage optimizations, on account of the FBL regime.
Keywords
Cite
@article{arxiv.1910.14003,
title = {Recursive Optimization of Finite Blocklength Allocation to Mitigate Age-of-Information Outage},
author = {Bin Han and Zhiyuan Jiang and Yao Zhu and Hans D. Schotten},
journal= {arXiv preprint arXiv:1910.14003},
year = {2021}
}
Comments
Submitted to ICC2020 Workshop on Ultra-high speed, Low latency and Massive Communication for futuristic 6G Networks