Joint Information and Mechanism Design for Queues with Heterogeneous Users
Nasimeh Heydaribeni, Achilleas Anastasopoulos

TL;DR
This paper studies a queue management system where an information designer recommends actions to heterogeneous users based on queue backlog, using combined mechanism and information design to optimize recommendations and taxes.
Contribution
It introduces a joint mechanism and information design framework for queues with private user types, deriving optimal recommendation and tax policies.
Findings
Characterizes optimal tax functions for users.
Provides structural results for recommendation policies.
Formulates an optimization problem for joint design.
Abstract
We consider a queue with an unobservable backlog by the incoming users. There is an information designer that observes the queue backlog and makes recommendations to the users arriving at the queue whether to join or not to join the queue. The arriving users have payoff relevant private types. The users, upon arrival, send a message, that is supposed to be their type, to the information designer if they are willing to hear a recommendation. The information designer then creates a recommendation for that specific type of user. The users have to pay a tax in exchange for the information they receive. In this setting, the information designer has two types of commitments. The first commitment is the recommendation policy and the second commitment is the tax function. We combine mechanism design and information design to study a queuing system with heterogeneous users. In this setting, the…
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Advanced Wireless Network Optimization · Age of Information Optimization
