Ultra-Dense Networks: A New Look at the Proportional Fair Scheduler
Ming Ding, David Lopez Perez, Amir H. Jafari, Guoqiang Mao, Zihuai Lin

TL;DR
This paper analyzes the proportional fair scheduler in ultra-dense networks, revealing that round-robin scheduling may be more effective than PF scheduling in dense small cell deployments due to reduced multi-user diversity.
Contribution
It provides a theoretical comparison of PF and RR schedulers in UDNs, highlighting the limitations of PF in dense environments and suggesting RR for simplicity.
Findings
PF scheduler's multi-user diversity diminishes with densification
RR scheduler outperforms PF in ultra-dense scenarios
Analytical expressions for coverage and ASE in UDNs with PF
Abstract
In this paper, we theoretically study the proportional fair (PF) scheduler in the context of ultra-dense networks (UDNs). Analytical results are obtained for the coverage probability and the area spectral efficiency (ASE) performance of dense small cell networks (SCNs) with the PF scheduler employed at base stations (BSs). The key point of our analysis is that the typical user is no longer a random user as assumed in most studies in the literature. Instead, a user with the maximum PF metric is chosen by its serving BS as the typical user. By comparing the previous results of the round-robin (RR) scheduler with our new results of the PF scheduler, we quantify the loss of the multi-user diversity of the PF scheduler with the network densification, which casts a new look at the role of the PF scheduler in UDNs. Our conclusion is that the RR scheduler should be used in UDNs to simplify the…
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 MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
