CS6501: Advance Wireless Sensing in IoT

Course Information

  • Instructor: Kun Qian
  • TA: TBD
  • 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 IoT 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 assignments, a course project, a mid-term exam, and a final presentation.


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.

Wed 08/28Introintro
Mon 09/02Radar equation
Wed 09/04RF simulation lab
Mon 09/09Radar signal processing
Wed 09/11Array signal processing
Mon 09/16Radar lab
Wed 09/18OFDM
Mon 09/23Synchronization
Wed 09/25MIMO
Mon 09/30CSI
Wed 10/02Wi-Fi Lab
Other Sensorsother
Mon 10/07CmWave
Wed 10/09MmWave
Mon 10/14No class (Fall break)
Wed 10/16Metasurface
Mon 10/21Midterm exam
Wed 10/23Indoor localizationlocalization
Mon 10/28Motion trackingtracking
Wed 10/30Activity recognitionrecognition
Mon 11/04Activity recognition (cont.)
Wed 11/06Vehicular sensingvehicular
Mon 11/11Sensing-assisted commcomm
Wed 11/13Sensing securitysecurity
Mon 11/18TBD
Wed 11/20Project presentation
Mon 11/25Project presentation
Wed 11/27No class (Thanksgiving)
Mon 12/02Project presentation
Wed 12/06TBD



Communication and Logistics


Academic Integrity


Kun Qian
Kun Qian
Assistant Professor

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