CS6501: Wireless Sensing for Internet of Things


Course Information

  • Instructor: Kun Qian
  • Lecture time: 11:00am-12:15pm MoWe
  • Location: Rice Hall 032
  • Office hours:
    • TBD

Course Description

Wireless sensing technologies repurpose wireless signals for sensing physical environment and gaining situational awareness. Formed by pervasive wirelessly connected devices, the Internet of Things can be turned into a universal sensor network with wireless sensing, enabling the vision of ambient intelligence. This course covers the wireless sensing basics (e.g., radar, Wi-Fi) and cutting-edge applications (e.g., motion tracking, activity recognition, environmental sensing). The evaluation will be based on the homework assignments, mid-term exam, and course project.


Prerequisites

No formal prerequisites, but prior knowledge in signal processing, computer networks (e.g., equivalence of CS 4457), and machine learning is highly recommended.


Course Schedule

The schedule is subject to change.

DatesTopicNotes
Tue 08/27Semester begin
Wed 08/28Intro
Radar
Mon 09/02Radar equation
Wed 09/04RF simulation lab
Mon 09/09Radar signal processing
Wed 09/11Array signal processing
Mon 09/16Radar lab
Wi-Fi
Wed 09/18OFDMHW1 due
Mon 09/23Synchronization
Wed 09/25MIMOHW2 due
Mon 09/30CSIHW3 due
Wed 10/02Wi-Fi Lab
Other Sensors
Mon 10/07CmWave
Wed 10/09MmWaveHW4 due
Mon 10/14No class (Fall break)HW5 due
Wed 10/16MetasurfaceProject team/proposal due
Mon 10/21Demo/Review
Wed 10/23Midterm exam
Applications
Mon 10/28Indoor localization
Wed 10/30Motion tracking
Mon 11/04Activity recognition
Wed 11/06Activity recognition (cont.)
Mon 11/11Vehicular sensing
Wed 11/13Sensing-assisted comm
Mon 11/18Sensing security
Wed 11/20No class
Mon 11/25Project presentation
Wed 11/27No class (Thanksgiving)
Mon 12/02Project presentation
Wed 12/06Project presentation
Tue 12/17Semester endProject report due

Grading

  • Class attendance/participation: 5%
  • Homework assignments: 25% (5 assignments, 5% each)
  • Mid-term exam: 30%
  • Final project (presentation and report): 40%

Late Policy All assignments are due via Collab at 11:59pm on the due date.

  • Grace period: 12 hours (intended to cover real issues, e.g., internet issues, server down)
  • 10% penalty per day late

Communication and Logistics

There is no textbook for the course that you need to purchase. We will distribute materials as needed.

There are several sites for the course that you can utilize:

  • Course website (this one): informational purpose
  • Collab: Announcements, assignment submissions, course materials and recordings, Zoom links
  • Piazza: Long-form questions, notes, private messages for faculty/TA, regrade request
  • Zoom: Online office hours and meetings, quick chat, off-topic discussion

Please direct all course-related questions to Piazza (or go to office hours). If you want to discuss other topics or have personal/team issues that can and should only be handled by a professor, please email me directly (xts4uh).

Kun Qian
Kun Qian
Assistant Professor

My research interests include wireless sensing and communication, and ubiquitous and mobile computing.