A First Look at Commercial 5G Performance on Smartphones
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Abstract (arXiv)
We conduct to our knowledge a first measurement study of commercial 5G performance on smartphones by closely examining 5G networks of three carriers (two mmWave carriers, one mid-band carrier) in three U.S. cities. We conduct extensive field tests on 5G performance in diverse urban environments. We systematically analyze the handoff mechanisms in 5G and their impact on network performance. We explore the feasibility of using location and possibly other environmental information to predict the network performance. We also study the app performance (web browsing and HTTP download) over 5G. Our study consumes more than 15 TB of cellular data. Conducted when 5G just made its debut, it provides a "baseline" for studying how 5G performance evolves, and identifies key research directions on improving 5G users' experience in a cross-layer manner. We have released the data collected from our study (referred to as 5Gophers) at https://fivegophers.umn.edu/www20.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Sep 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 0; 2026: 2.
7 papers.
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- 2021ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layercited by 0
- 2026CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splattingcited by 0
- 2026CAGS: Color-Adaptive Volumetric Video Streaming with Dynamic 3D Gaussian Splatting10 May 2026
- 2026HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation16 Mar 2026
- 2023Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases21 Dec 2023
- 2023PrivateLoRA For Efficient Privacy Preserving LLM23 Nov 2023
- 2022Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms17 Jun 2022
- 2022Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications28 Apr 2022
- 2021ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer5 May 2021