Optimal Sampling Cost in Wireless Networks with Age of Information Constraints
March 05, 2020 Β· Declared Dead Β· π Conference on Computer Communications Workshops
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Authors
Emmanouil Fountoulakis, Nikolaos Pappas, Marian Codreanu, Anthony Ephremides
arXiv ID
2003.02512
Category
cs.NI: Networking & Internet
Cross-listed
cs.IT
Citations
36
Venue
Conference on Computer Communications Workshops
Last Checked
6 months ago
Abstract
We consider the problem of minimizing the time average cost of sampling and transmitting status updates by users over a wireless channel subject to average Age of Information constraints (AoI). Errors in the transmission may occur and the scheduling algorithm has to decide if the users sample a new packet or attempt for retransmission of the packet sampled previously. The cost consists of both sampling and transmission costs. The sampling of a new packet after a failure imposes an additional cost in the system. We formulate a stochastic optimization problem with time average cost in the objective under time average AoI constraints. To solve this problem, we apply tools from Lyapunov optimization theory and develop a dynamic algorithm that takes decisions in a slot-by-slot basis. The algorithm decides if a user: a) samples a new packet, b) transmits the old one, c) remains silent. We provide optimality guarantees of the algorithm and study its performance in terms of time average cost and AoI through simulation results.
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