Title
Scheduling Algorithms for Minimizing Age of Information in Wireless Broadcast Networks with Random Arrivals
Abstract
Age of information is a new network performance metric that captures the freshness of information at end-users. This paper studies the age of information from a scheduling perspective. To that end, we consider a wireless broadcast network where a base-station (BS) is updating many users on random information arrivals under a transmission capacity constraint. For the offline case when the arrival statistics are known to the BS, we develop a structural MDP scheduling algorithm and an index scheduling algorithm, leveraging Markov decision process (MDP) techniques and the Whittle's methodology for restless bandits. By exploring optimal structural results, we not only reduce the computational complexity of the MDP-based algorithm, but also simplify deriving a closed form of the Whittle index. Moreover, for the online case, we develop an MDP-based online scheduling algorithm and an index-based online scheduling algorithm. Both the structural MDP scheduling algorithm and the MDP-based online scheduling algorithm asymptotically minimize the average age, while the index scheduling algorithm minimizes the average age when the information arrival rates for all users are the same. Finally, the algorithms are validated via extensive numerical studies.
Year
DOI
Venue
2020
10.1109/TMC.2019.2936199
IEEE Transactions on Mobile Computing
Keywords
DocType
Volume
Age of information,scheduling algorithms,Markov decision processes
Journal
19
Issue
ISSN
Citations 
12
1536-1233
18
PageRank 
References 
Authors
0.61
0
3
Name
Order
Citations
PageRank
Yu-Pin Hsu1677.34
Eytan Modiano23714314.44
Lingjie Duan386862.07