Abstract
In highly dynamic and contested RF environments, communication systems must swiftly adapt to fluctuating spectral conditions while ensuring network quality of service (QoS). Maintaining link synchronization and spectral efficiency during waveform adaptation is particularly challenging due to the high mobility and autonomy of devices, coupled with the possibility of operating in GPS-denied environments. In this demo, we introduce a scalable, high-speed FPGA-based parallel decoding algorithm that leverages the HORNets signature adaptation protocol to address these challenges. Our solution preserves link synchronization within a multi-node network and enables efficient, lightweight waveform adaptation without reliance on GPS. The algorithm's resilience and effectiveness are demonstrated using a three-node cluster configuration, all subjected to non-colored or colored intentional interference.
| Original language | English (US) |
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| Title of host publication | 2025 IEEE 22nd Consumer Communications and Networking Conference, CCNC 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331508050 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025 - Las Vegas, United States Duration: Jan 10 2025 → Jan 13 2025 |
Publication series
| Name | Proceedings - IEEE Consumer Communications and Networking Conference, CCNC |
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| ISSN (Print) | 2331-9860 |
Conference
| Conference | 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 1/10/25 → 1/13/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- Field Programmable Gate Array (FPGA)
- HORNets
- Quality of Service (QoS)
- waveform adaptation