Insensitive, maximum stable allocations converge to proportional fairness
N. S. Walton

TL;DR
This paper analyzes a queueing model with insensitive, stable allocation policies, showing that in congestion limits, the service allocation converges to a proportional fairness solution.
Contribution
It proves that maximum stable, insensitive allocations in congested limits converge to the proportional fairness optimization.
Findings
Limit allocations are proportional fair solutions.
Insensitive, stable policies achieve maximal stability.
Convergence occurs in highly congested regimes.
Abstract
We describe a queueing model where service is allocated as a function of queue sizes. We consider allocations policies that are insensitive to service requirements and have a maximal stability region. We take a limit where the queueing model become congested. We study how service is allocated under this limit. We demonstrates that the only possible limit allocation is one that maximizes a proportionally fair optimization problem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Queuing Theory Analysis · Advanced Wireless Network Optimization · Network Traffic and Congestion Control
