Extreme Age of Information for Wireless-Powered Communication Systems

Nikolaos I. Miridakis; Zheng Shi; Theodoros A. Tsiftsis; Guanghua Yang

doi:10.1109/LWC.2022.3146389

Extreme Age of Information for Wireless-Powered Communication Systems

Nikolaos I. Miridakis, Zheng Shi, Theodoros A. Tsiftsis, Guanghua Yang

Research output: Journal Publication › Article › peer-review

6 Citations (Scopus)

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.

Original language	English
Pages (from-to)	826-830
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	11
Issue number	4
DOIs	https://doi.org/10.1109/LWC.2022.3146389
Publication status	Published - 1 Apr 2022
Externally published	Yes

Keywords

Age of information (AoI)
extreme value theory
low-latency
wireless power transfer

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2022.3146389

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title = "Extreme Age of Information for Wireless-Powered Communication Systems",

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.",

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AU - Miridakis, Nikolaos I.

AU - Shi, Zheng

AU - Tsiftsis, Theodoros A.

AU - Yang, Guanghua

PY - 2022/4/1

Y1 - 2022/4/1

N2 - 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.

AB - 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.

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KW - low-latency

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Extreme Age of Information for Wireless-Powered Communication Systems

Abstract

Keywords

ASJC Scopus subject areas

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