Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks

12/17/2019
by   Mohamed K. Abdel-Aziz, et al.
0

While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on the average AoI measure. Designing a wireless network based on average AoI will fail to characterize the performance of URLLC systems, as it cannot account for extreme AoI events, occurring with very low probabilities. In contrast, this paper goes beyond the average AoI to improve URLLC in a vehicular communication network by characterizing and controlling the AoI tail distribution. In particular, the transmission power minimization problem is studied under stringent URLLC constraints in terms of probabilistic AoI for both deterministic and Markovian traffic arrivals. Accordingly, an efficient novel mapping between AoI and queue-related distributions is proposed. Subsequently, extreme value theory (EVT) and Lyapunov optimization techniques are adopted to formulate and solve the problem considering both long and short packets transmissions. Simulation results show over a two-fold improvement, in shortening the AoI distribution tail, versus a baseline that models the maximum queue length distribution, in addition to a tradeoff between arrival rate and AoI.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 25

11/09/2018

Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail

While the notion of age of information (AoI) has recently emerged as an ...
09/10/2019

Taming the Tail of Maximal Information Age in Wireless Industrial Networks

In wireless industrial networks, the information of time-sensitive contr...
11/27/2019

Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

In this letter, an age of information (AoI)-aware transmission power and...
04/12/2022

Communication and Computation Assisted Sensing Information Freshness Performance Analysis in Vehicular Networks

The timely sharing of raw sensing information in the vehicular networks ...
04/17/2018

Ultra-Reliable and Low-Latency Vehicular Transmission: An Extreme Value Theory Approach

Considering a Manhattan mobility model in vehicle-to-vehicle networks, t...
11/18/2019

Throughput Maximization with an Average Age of Information Constraint in Fading Channels

In the emerging fifth generation (5G) technology, communication nodes ar...
08/17/2021

Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT

While information delivery in industrial Internet of things demands reli...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.