TU1.R9.1

Peak Age of Information under Tandem of Queues

Ashirwad Sinha, Shubhransh Singhvi, Praful Mankar, International Institute of Information Technology - Hyderabad, India; Harpreet Dhillon, Virginia Tech, United States

Session:
Age of Information 1

Track:
19: Age of Information

Location:
Lamda

Presentation Time:
Tue, 9 Jul, 09:45 - 10:05

Session Chair:
Alex Sprintson, Texas A&M University
Abstract
This paper considers a communication system where a source sends time-sensitive information to its destination via queues in tandem. We assume that the arrival process as well as the service process (of each server) are memoryless, and each of the servers has no buffer. For this setup, we develop a recursive framework to characterize the mean peak age of information (PAoI) under preemptive and non-preemptive policies with N servers having different service rates. For the preemptive case, the proposed framework also allows to obtain mean age of information (AoI).
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