# QoS-aware Scheduling in 5G Wireless Base Stations

arXiv: https://arxiv.org/abs/2310.11206 · HTML: https://mlsanity.com/paper/2310.11206/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Oct 2023.

## Built on by (most cited first, 1 of 1)

- [SemABR: Measuring Video Semantic Fidelity with Multimodal LLMs for Adaptive Bitrate Streaming](https://mlsanity.com/paper/2609.18075/) (2026)

## Abstract (arXiv)

5G and beyond networks are expected to support flows with varied Quality-of-Service (QoS) requirements under unpredictable traffic conditions. Consequently, designing policies ensuring optimal system utilization in such networks is challenging. Given this, we formulate a long-term time-averaged scheduling problem that minimizes a weighted function of packets dropped by the 5G wireless base station. We then present two policies for this problem. The first is a delay-guaranteed near-optimal policy, and the second is a delay-guaranteed sub-optimal policy that provides flow isolation. We perform extensive simulations to understand the performance of these policies. Further, we study these policies in the presence of a closed-loop flow rate-control mechanism.