Resilient Communications with Lightweight Signature Synchronization on MPSoC Radios

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.

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Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10975913
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00

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article

Resilient Communications with Lightweight Signature Synchronization on MPSoC Radios

Maxwell McManus, Prem Sagar Pattanshetty Vasanth Kumar, Nicholas Mastronarde, Dimitris A. Pados et al.
Cooperative Communication and Network Coding
article

Resilient Communications with Lightweight Signature Synchronization on MPSoC Radios

Maxwell McManus, Prem Sagar Pattanshetty Vasanth Kumar, Nicholas Mastronarde, Dimitris A. Pados, Hatef Nouri, Elizabeth Serena Bentley, George Sklivanitis, Zhangyu Guan, Sidharth Santhinivas
article en

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.

University at Buffalo, State University of New York (US), Florida Atlantic University (US)
National Science Foundation
Openalex Percentile: Top 91%
Cooperative Communication and Network Coding
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Resilient Communications with Lightweight Signature Synchronization on MPSoC Radios — Maxwell McManus, Prem Sagar Pattanshetty Vasanth Kumar, et al. · (2025) | TGRS Research Map | TGRS