TY - GEN
T1 - Resilient Communications with Lightweight Signature Synchronization on MPSoC Radios
AU - Santhinivas, Sidharth
AU - Kumar, Prem Sagar Pattanshetty Vasanth
AU - McManus, Maxwell
AU - Nouri, Hatef
AU - Sklivanitis, George
AU - Pados, Dimitris
AU - Bentley, Elizabeth Serena
AU - Mastronarde, Nicholas
AU - Guan, Zhangyu
N1 - Publisher Copyright: © 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Field Programmable Gate Array (FPGA)
KW - HORNets
KW - Quality of Service (QoS)
KW - waveform adaptation
UR - https://www.scopus.com/pages/publications/105005141412
U2 - 10.1109/CCNC54725.2025.10975913
DO - 10.1109/CCNC54725.2025.10975913
M3 - Conference contribution
T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
BT - 2025 IEEE 22nd Consumer Communications and Networking Conference, CCNC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE Consumer Communications and Networking Conference, CCNC 2025
Y2 - 10 January 2025 through 13 January 2025
ER -