Extreme Age of Information for Wireless-Powered Communication Systems

01/19/2022
by   Nikolaos I. Miridakis, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 9

page 10

research
12/31/2021

Non-Linear Age of Information: An Energy Efficient Receiver-Centric Approach

The age of information (AoI) performance metric for point-to-point wirel...
research
07/21/2023

Extreme Level Crossing Rate: A New Performance Indicator for URLLC Systems

Level crossing rate (LCR) is a well-known statistical tool that is relat...
research
06/11/2020

AoI-optimal Joint Sampling and Updating for Wireless Powered Communication Systems

This paper characterizes the structure of the Age of Information (AoI)-o...
research
11/18/2022

Age of Information in a SWIPT and URLLC enabled Wireless Communications System

This paper estimates the freshness of the information in a wireless rela...
research
06/08/2021

A Perspective on Time towards Wireless 6G

With the advent of 5G technology, the notion of latency got a prominent ...
research
12/14/2017

Age of Information in Two-way Updating Systems Using Wireless Power Transfer

We consider a two-way updating system with a master node and a slave nod...
research
10/21/2020

Round-Robin is Provably Near-Optimal for Minimizing Age with HARQ over Heterogeneous Unreliable Multiaccess Channels

In a heterogeneous unreliable multiaccess network, wherein terminals sha...

Please sign up or login with your details

Forgot password? Click here to reset