Back to Search Start Over

Extreme Age of Information for Wireless-Powered Communication Systems

Authors :
Miridakis, Nikolaos I.
Shi, Zheng
Tsiftsis, Theodoros A.
Yang, Guanghua
Publication Year :
2022

Abstract

The extreme or maximum age of information (AoI) is analytically studied for wireless communication systems. In particular, a wireless powered single-antenna source node and a receiver (connected to the power grid) equipped with multiple antennas are considered when operated under independent Rayleigh-faded channels. Via the extreme value theory and its corresponding statistical features, we demonstrate that the extreme AoI converges to the Gumbel distribution whereas its corresponding parameters are obtained in straightforward closed-form expressions. Capitalizing on this result, the risk of the extreme AoI realization is analytically evaluated according to some relevant performance metrics, while some useful engineering insights are manifested.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2201.07437
Document Type :
Working Paper