Special Topics on Mobile Sensing & Mobile Networks / Fall 2023

Updates

  • New Lecture is up: Course Introduction [slides]
  • New Lecture is up: Paper Reading and Presentation
  • New Lecture is up: Paper Reading and Presentation
  • New Lecture is up: Paper Reading and Presentation
  • New Lecture is up: Recess Week
  • New Lecture is up: Paper Reading and Presentation
  • New Lecture is up: End-to-end Transport Over Wireless

Course Description

Nowadays, wireless technologies (cellular, Wi-Fi, mmWave) do not only provide data service but also cater to diverse applications including indoor localization, contact-free activity sensing, medical implant tracking and charging, virtual reality (VR) and autonomous driving. This course introduces the students with fundamentals in mobile networking and the state-of-the-art mobile sensing applications in the Era of Internet-of-Things. Mobile sensing is an active research area which involves wireless communication, signal processing, human computer interaction, machine learning and hardware prototyping. The intrinsic nature of sensor-free and contact-free makes mobile and wireless sensing particularly appealing in current pandemic compared to traditional sensor-based sensing. The latest research in mobile sensing has enabled many novel and exciting applications. For example, Wi-Fi signals can now be employed to differentiate very similar materials such as Pepsi and Coke. You can place your phone on the desk and turn the desk surface into a touch (input) panel with acoustic sensing. We can employ LoRa signals to sense your respiration even 50 meters away with a wall in between without any sensors. We will explore the state-of-the-art of both mobile networking and mobile sensing and make our hands dirty by working on some research projects.

Lecture Time & Location:

Tuesday, 2:00pM-3:20PM, Park Hall, North Campus Thursday, 2:00pM-3:20PM, Park Hall, North Campus

Slack:

We will use slack to ask questions. Pleas join the slack via this link.

Paper Presentation Sign Up

Please sign up for the paper that you would like to present in the class via this link.

Grading:

  • Class Participation: 10%
  • Paper Presentation: 20%
  • Midterm: 20%
  • Course Project: 50%

  • Instructors

    Teaching Assistants