Version 18 (modified by 2 years ago) ( diff ) | ,
---|
Distributed Spectrum Monitoring and Channel Sounding
Distributed Spectrum Monitoring and Channel Sounding
WINLAB Summer Internship 2022
Group Members: Khyati Dinesh Patel, Mingkun Sun
Project Objective
The goal for this project is to create an.
Several objectives:
- Using nodes in COSMOS/ORBIT testbed to transmit refence signals
- Collect data from the transmission process with the portable SDRs
- Use both traditional and AI/ML analysis for channel characterization (including occupancy)
Reading material:
Planned to meet weekly at 12pm on Tuesday and 2pm on Thursday
Week 1 Activities
- Get familiar with ORBIT
- Research on software defined radio (SDR)
Week 2 Activities
- Ran basic experiments on ORBIT testbed
- Studied more about SDRs and Channel Monitoring
- Learnt basics of Ubuntu
Week 3 Activities
- Researched about different Sandboxes in ORBIT
- Perform more experiments with SDRs
- Studied about different hardwares in ORBIT
Week 4 Activities
- In USRP capture the waveforms and plot it
- In sandbox, used 1 node as transmitter and other as receiver and observed the transmission process
https://docs.google.com/presentation/d/11WDXBo10gaFouT32hfnMzyCzT90fwSIj/edit#slide=id.p1
Week 5 Activities
- Used 2 transmitter and 2 receiver to send data across each other and plot the wavefroms
- Conducted specturm sensing using USRP2
Week 6 Activities
- Tried resolving the FPGA and GNU errors
- Looked into different technical papers for ML approach used for spectrum sensing
https://docs.google.com/presentation/d/10xLD871rF6XXtcBfv_XguKsUf9dgnpza/edit#slide=id.p1
Week 7 Activities
- Successfully conducted experiment using GNU radio and tried plotting the spectrum using GNU companion
- Conducted specturm sensing using USRP X310 and WISERD
Week 8 Activities
- Successfully collected sample data from the spectrum sensing experiment using WISERD
- Still trying to resolve the errors faced using GNU companion
- Looked into few ML algorithms and try to finalize one by this weekend
Week 9 Activities
Week 10 Activities
Note:
See TracWiki
for help on using the wiki.