A Variegated Study of 5G Services: Challenges, Opportunities, and Application Innovations

Speaker: Dr. Feng Qian
         Associate Professor
         University of Minnesota -- Twin Cities

Title:  "A Variegated Study of 5G Services: Challenges,
         Opportunities, and Application Innovations"

Date:   Thursday, 3 March 2022

Time:   10:00am - 11:00am (Hong Kong Local Time)

Zoom link:
https://hkust.zoom.us/j/928308079?pwd=MW9wTCtlSDd2MnViZGdNd2oreUpXZz09

Meeting ID:     928 308 079
Passcode:       20212022


Abstract:

5G is expected to support sub-millisecond latency as well as throughput of
up to 20 Gbps -- a 100x improvement compared to 4G/LTE. However, there
exists a vacuum in understanding how 5G performs "in the wild" and whether
it can fulfill its promises. In this talk, I will describe our research
thrust of 5G networks since early 2019, when Minneapolis became one of the
first two U.S. cities that received commercial 5G deployment. Over the
past 3 years, we have experimented with more than 100 TB of 5G data and
traveled more than 8,000 km for drive tests. Our studies revealed a
complete landscape of 5G across several key dimensions -- network
performance, power characteristics, mobility management, application
quality-of-experience (QoE), to name a few, with their critical tradeoffs
quantitatively revealed. I will also talk about our development of a
learning-based framework for accurate 5G performance prediction, and how
we innovate emerging applications such as virtual reality (VR) to improve
their QoE on 5G networks.


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Biography:

As an experimental networking and system researcher, I design, engineer,
deploy, and evaluate real network systems. I am particularly interested in
mobile systems, AR/VR, mobile networking, wearable computing, real-world
system measurements.

I received my Ph.D. from EECS at University of Michigan in 2012. I am
honored to receive several awards including the AT&T Key Contributor Award
(2014), NSF CRII Award (2016), Google Faculty Award (2016), ACM CoNEXT
Best Paper Award (2016,2018), AT&T VURI Award (2017), NSF CAREER Award
(2018), Trustees Teaching Award (2018), DASH-IF Excellence Award (2019),
Cisco Research Award (2021), and ACM SIGCOMM Best Student Paper Award
(2021). Some of my research prototypes such as mobile Application Resource
Optimizer (ARO) have been commercialized and are widely used in academia
and industry.