Paper Info
Title
Minimizing the Age of Information in Wireless Networks with Stochastic Arrivals.
Abstract
We consider a wireless network with a base station serving multiple traffic streams to different destinations. Packets from each stream arrive to the base station according to a stochastic process and are enqueued in a separate (per stream) queue. The queueing discipline controls which packet within each queue is available for transmission. The base station decides, at every time t, which stream to serve to the corresponding destination. The goal of scheduling decisions is to keep the information at the destinations fresh. Information freshness is captured by the Age of Information (AoI) metric. In this paper, we derive a lower bound on the AoI performance achievable by any given network operating under any queueing discipline. Then, we consider three common queueing disciplines and develop both an Optimal Stationary Randomized policy and a Max-Weight policy under each discipline. Our approach allows us to evaluate the combined impact of the stochastic arrivals, queueing discipline and scheduling policy on AoI. We evaluate the AoI performance both analytically and using simulations. Numerical results show that the performance of the Max-Weight policy is close to the analytical lower bound.
Year
DOI
Venue
2019
10.1145/3323679.3326520
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Keywords
Field
DocType
Age of Information, Optimization, Scheduling, Wireless Networks
Base station,Wireless network,Computer science,Upper and lower bounds,Scheduling (computing),Queue,Network packet,Computer network,Stochastic process,Queueing theory
Journal
Volume
ISBN
Citations 
abs/1905.07020
978-1-4503-6764-6
7
PageRank 
References 
Authors
0.45
0
2
Name
Order
Citations
PageRank
Igor Kadota1856.61
Eytan Modiano23714314.44