[January 23rd, 2020] Our journal paper entitled “A game-theoretic analysis on the economic viability of mobile content pre-staging” is now live via the Wireless Networks journal. The paper focuses on mobile content pre-staging with an eye towards whether or not said pre-staging is solely beneficial to the provider or pre-staging gains are shared with the end-user. This is related to our on-going work NSF grant focusing on PASS (Provider Accessible Storage Subsystem) as this was a pre-cursor paper to that effort that we published at the INFOCOM Workshop on Smart Data Pricing back in 2016. This particular paper offers some nice new insights and an expanded analysis relative to the shorter workshop paper. Kudos to Prof. Liao (my former student, now a tenured professor at Central Michigan) and Prof. Li for their fantastic work on this effort.
[November 11th, 2019] Brief update as I am well over halfway through my sabbatical this fall. Some interesting new projects in the hopper that we will highlight the projects bake a bit more but I can give a bit of a preview of some of the efforts.
- WiFi Leaf Detection: We are looking how WiFi signals can be used to detect the presence (or lack thereof) leaves on the various trees to help optimize leaf pickup for St. Joseph County (and many other municipalities with burn bans). Some interesting early work taking our monster WiFi capture rig (all 2.4 GHz channels, all 5 GHz channels) done by Al-Amin Mohammed, the lead graduate student on the project. Many thanks to our undergraduate REU student Alexandra Berjarano who kicked off this effort this past summer as part of our Wireless Institute REU site.
- QUIC-enabled FMNC / PASS: We are working on porting our efforts for Fast Mobile Network Characterization (FMNC) and Provider-Assisted Storage Sub-system (PASS) into a unified library riding on QUIC. This should be an interesting adventure and if successful, a very cool unified platform for measurement that leverage QUIC with legacy support for TCP fallback taking advantage of our older work.
- Tesserae: Our Tesserae project continues. Look for some interesting paper updates now that the vast majority of our data collection has wrapped for the effort.
[May 16, 2019] Congrats to Dr. Lixing Song on leading the first patent coming out of our lab. Patent 15/967,532 entitled “Systems and Methods for Rapidly Estimating Available Bandwidth on a WiFi Link,” was awarded on May 16, 2019.
[March 14, 2019] For our upcoming site visit related to PAWR, our team wrote a visualization tool for RSRP / RSRQ from MobileInsight. Kudos to my student Gonzalo Martinez who wrote an Android app to export Mobile Insight files, ship them over MQTT, parse them, and then re-package them as JSON via MQTT, for the C# visualization app that I crafted together for a demo. We will package up the source code and share it for anyone who might be interested.
[August 1st, 2018] Great conference at ICCCN 2018 in Hangzhou, China. Had a chance to catch up with lots of familiar faces now having attended ICCCN for the past 7 years straight. Great to meet up with my former student, Qi Liao, who also had a paper at ICCCN. On Wednesday, I presented our base work on Fast Mobile Network Characterization (FMNC) which was an invited paper at ICCCN. A really solid work done by my student that has laid the foundation on much of our work in this area.
[June 15, 2018] Great workshop in Amsterdam for NOSSDAV 2018. I had the pleasure of presenting my student Lixing’s paper entitled “SEWS: A Channel-Aware Stall-Free WiFi Video Streaming Mechanism” at the workshop in addition to serving as a session chair for the first session. Very well attended workshop and lots of great questions.
[June 1, 2018] I will be joining the editorial board of IEEE Transactions on Mobile Computing as an Associate Editor. Looking forward to serving the community in this new exciting role.
[April 24, 2018] Congrats to Lixing Song on getting his paper entitled “SEWS: A Channel-Aware Stall-Free WiFi Video Streaming Mechanism” accepted to appear at NOSSDAV 2018 in Amsterdam in June.
[April 19, 2018] I had the privilege of serving on a panel on Machine Learning in Networking at INFOCOM 2018. The panel was exceptionally well attended (pictures soon). One key outcome is that we will be putting together a survey paper on machine learning in networking as a basic overview. Fantastic panel and great audience questions.
(March 14, 2017) Our paper entitled “Leveraging Frame Aggregation for Estimating WiFi Available Bandwidth” was accepted into IEEE SECON 2017 (26% acceptance rate). The work is the second one under the Fast Mobile Network Characterization umbrella. This work focuses on the potential to use reflected aggregation (client-mod free) as observed by A-MPDU frame characteristics for inferring the available bandwidth of a link ranging across a wide variety of speeds.