Integrated Sensing and Communication Physical Layer Model (ISAC-PLM)
Integrated Sensing and Communication Physical layer (PHY) model of IEEE 802.11ay/bf.
Table of Contents
Features
- Support for IEEE 802.11ay including Single Carrier/OFDM waveform generation and spatial multiplexing schemes: SU-SISO, SU-MIMO, MU-MIMO.
- Comprehensive performance analysis tools: link-level BER, PER, data rate testing, and analytical SE bounds.
- Receiver algorithms for synchronization, channel estimation, carrier frequency offset (CFO) correction.
- Integrated sensing capabilities using both passive and active techniques.
- Sensing signal processing algorithms for clutter removal, 2D-CFAR, doppler processing, target detection, and range/velocity estimation.
- Sensing accuracy evaluated using Mean Squared Error (MSE) and Normalized Mean Squared Error (NMSE).
Installation
Downloading or cloning the repository is all that’s required—no further installation steps needed.
Requirements
- The software is developed in MATLAB and tested on MATLAB R2023b.
- Requires the MATLAB WLAN toolbox.
How to Run
- Navigate to
main.m, and modify the variable scenarioNameStr to match the name of your desired scenario folder scenarioFolder within .\examples.
- Run
main.m
Documentation
Extensive documentation is provided in docs/isac-plm.pdf, detailing ISAC-PLM’s architecture, functionalities, and usage guidelines.
Examples Provided
A collection of predefined examples demonstrating various configurations and scenarios is available in /src/examples/ .
The table below outlines the predefined examples along with their key configuration parameters:
| Example |
Number of Rx |
Streams/rx |
Channel Model |
Precoder |
Packet |
| sisoOfdmAwgn_data |
1 |
1 |
AWGN |
- |
PSDU |
| sisoSc_data |
1 |
1 |
Rayleigh |
- |
PSDU |
| sisoOfdm_data |
1 |
1 |
Rayleigh |
- |
PSDU |
| sisoSc |
1 |
1 |
Rayleigh |
- |
PPDU |
| sisoOfdm |
1 |
1 |
Rayleigh |
- |
PPDU |
| mimoSc_data |
1 |
2 |
Rayleigh |
RZF (Freq flat) |
PSDU |
| mimoOfdm_data |
1 |
2 |
Rayleigh |
RZF (Freq sel) |
PSDU |
| mimoSc |
1 |
2 |
Rayleigh |
RZF (Freq flat) |
PPDU |
| mimoOfdm |
1 |
2 |
Rayleigh |
RZF (Freq sel) |
PPDU |
| muMimoSc_data |
2 |
2 |
Rayleigh |
ZF (Time domain) |
PSDU |
| muMimoOfdm_data |
2 |
2 |
Rayleigh |
RZF (Freq sel) |
PSDU |
| muMimoOfdm |
2 |
2 |
Rayleigh |
RZF (Freq sel) |
PPDU |
| pointTargetPassiveSensing |
1 |
1 |
NIST QD |
- |
PPDU |
| singleHumanTarget |
1 |
1 |
NIST QD |
- |
PPDU |
| pointTargetActiveSensing |
1 |
1 |
NIST QD |
- |
TRN-R |
| bistaticLivingRoomTRN-R |
1 |
1 |
NIST QD |
- |
TRN-R |
| bistaticLivingRoomTRN-T |
1 |
1 |
NIST QD |
- |
TRN-T |
| bistaticLivingRoomBeacon |
1 |
1 |
NIST QD |
- |
Beacon |
| thresholdSensing |
1 |
1 |
NIST QD |
- |
PPDU |
| vitalSignSensing |
1 |
1 |
NIST Measurements |
- |
TRN-R |
| loss 0.6 intraStd 0us interStd 0ms |
1 |
1 |
NIST QD |
- |
TRN-R |
| loss 0.8 intraStd 500us interStd 0ms |
1 |
1 |
NIST QD |
- |
TRN-R |
References
- T. Ropitault, et al, An Open-Source Framework for IEEE 802.11bf Evaluation Under Lossy and Jittery Conditions, 2025 IEEE Military Communications Conference (MILCOM)
- T. Ropitault, et al, Overhead-Free People Counting in mmWave Networks Using IEEE 802.11bf Passive Sensing, 2024 IEEE 35th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
- S. Blandino, et al, Low Overhead DMG Sensing for Vital Signs Detection, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
- S. Blandino, T. Ropitault, C. R. C. M. da Silva, A. Sahoo and N. Golmie, IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing, 2023 IEEE Open Journal of Vehicular Technology.
- N. Varshney et al., Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems, 2023 IEEE Internet of Things Journal.
- J. Zhang, S. Blandino, N. Varshney, J. Wang, C. Gentile and N. Golmie, Multi-User MIMO Enabled Virtual Reality in IEEE 802.11ay WLAN, 2022 IEEE Wireless Communication and Networking Conference.
- S. Blandino, T.Ropitault, A. Sahoo and N. Golmie, Tools, Models and Dataset for IEEE 802.11ay
CSI-based Sensing, 2022 IEEE Wireless Communication and Networking Conference.
IEEE 802.11bf contributions
Contributing
We welcome feedback and contributions! Please reach out to the repository administrator for collaboration or queries.
Steve Blandino, NIST Communications Technology Laboratory, [email protected] .
Credits
Special thanks to our contributors:
Cite
If you use ISAC-PLM in your reseach, please see CITATION.cff and cite it as follows:
NIST Communications Technology Laboratory, Integrated Sensing and Communication Physical Layer Model (ISAC-PLM), https://github.com/wigig-tools/isac-plm.
License
Please refer to the NIST-License.md and MathWorks-Limited-License.md files in the license folder for more information.
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