MI-LAB helps researchers share data collected, analytics codes and insight gained.

Dependent misconfigurations in 5G/4.5G RRC at CoNext'23: Another Success Story!

May 15, 2023

PhD students from Purdue and UCLA led by Prof Peng and Prof Lu have conducted another success story over MI-LAB. They have used MI-LAB to conduct a 5G measurement study in the US and analyzed the collected traces to analyze inter-dependence among RRC configurations. They have categorized dependent misconfigurations, uncovered their root causes, and quantify negative performance impacts. They have uncovered 644 instances of problematic dependencies over three US operators and one carrier in China.

The paper will appear at ACM CoNext'23, Dec 5 - 8, Paris, France. Please see more information at here.

CA++ at MobiCom’23: Another Success Story!

December 28, 2022

PhD students from Purdue and UCLA led by Prof Peng and Prof Lu have conducted another success story over MI-LAB. In this project, they have proposed CA++, a group-based design scheme to enhance legacy carrier aggregation (CA). The core of CA++ is new algorithms that enable concurrent channel inference by measuring one or few cells but inferring all, while minimizing measurement cost via set cover approximations. They have validated the effectiveness of CA++ through real experiments over SDR-based testbed and what-if emulations over real-world traces collected via MI-LAB.

The paper will appear at ACM MobiCom'23, Oct 2 - 6, Madrid, Spain. Please see the complete news here.

MI-LAB Used for a 5G measurement study in the US!

December 10, 2022

MI-LAB has been used to conduct a 5G measurement study in two US cities: Chicago and Indianapolis with all three top-tier operators: AT&T, Verizon and T-Mobile. In this project, we have not only quantitively characterized 5G coverage, availability and performance (over both mmWave and Sub-6GHz bands), but also revealed several issues on underutilized performance potentials. We find that faster 5G is not used as it can and should. 5G potentials are underutilized in practice, similar to our previous findings in 4G networks (MobiCom'20).

The paper will appear at IEEE INFOCOM'23, May 17 - 19, New York, USA. Please see the complete news here.