1 research outputs found
Age of Information with Gilbert-Elliot Servers and Samplers
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: state and
state where the server is faster in state . We determine the
time average age experienced by the monitor node and characterize the
age-optimal state transition matrix 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: state and state
where samples are more frequent in state . We find the time average age
experienced by the monitor node and characterize the age-optimal state
transition matrix