{
"id": "2002.05711",
"version": "v1",
"published": "2020-02-13T18:52:13.000Z",
"updated": "2020-02-13T18:52:13.000Z",
"title": "Age of Information with Gilbert-Elliot Servers and Samplers",
"authors": [
"Baturalp Buyukates",
"Sennur Ulukus"
],
"categories": [
"cs.IT",
"cs.NI",
"eess.SP",
"math.IT"
],
"abstract": "We study age of information in a status updating system that consists of a single sampler, i.e., source node, that sends time-sensitive status updates to a single monitor node through a server node. We first consider a Gilbert-Elliot service profile at the server node. In this model, service times at the server node follow a finite state Markov chain with two states: ${bad}$ state $b$ and ${good}$ state $g$ where the server is faster in state $g$. We determine the time average age experienced by the monitor node and characterize the age-optimal state transition matrix $P$ with and without an average cost constraint on the service operation. Next, we consider a Gilbert-Elliot sampling profile at the source. In this model, the interarrival times follow a finite state Markov chain with two states: ${bad}$ state $b$ and ${good}$ state $g$ where samples are more frequent in state $g$. We find the time average age experienced by the monitor node and characterize the age-optimal state transition matrix $P$.",
"revisions": [
{
"version": "v1",
"updated": "2020-02-13T18:52:13.000Z"
}
],
"analyses": {
"keywords": [
"gilbert-elliot servers",
"age-optimal state transition matrix",
"finite state markov chain",
"time average age",
"monitor node"
],
"note": {
"typesetting": "TeX",
"pages": 0,
"language": "en",
"license": "arXiv",
"status": "editable"
}
}
}