Demo: AiR Cognitive Agent Platform for Robust & Resilient Heterogeneous Wireless Networks

Intended and unintended waveform interference can degrade performance of wireless networks across multiple layers of the protocol stack. Effective wireless network management requires a comprehensive set of agents that span these layers and can apply varied techniques to mitigate these effects. This...

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Bibliographic Details
Main Authors: Yadati, Shyam, Crompton, Bryan, Tran, Dap, Kim, Dukhyun, Mody, Apurva
Format: Conference Proceeding
Language:English
Subjects:
cognitive
cross-layer
Interference
Long Term Evolution
Military communication
Protocols
Radio frequency
Reliability
Resilience
sensing
Sensors
Wireless fidelity
Wireless networks
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Description
Summary:Intended and unintended waveform interference can degrade performance of wireless networks across multiple layers of the protocol stack. Effective wireless network management requires a comprehensive set of agents that span these layers and can apply varied techniques to mitigate these effects. This demo paper presents the "AiR Cognitive Agent Platform" which will demonstrate RF situational awareness and resilient communications in the face of interference. We demonstrate RF Sensing capabilities paired with techniques to mitigate interference including Dynamic Spectrum Access, Dynamic Bandwidth Adaptation, and Dynamic Traffic Prioritization. We show these capabilities in a realistic setup consisting of a Wi-Fi6E and srsRAN LTE, using COTS Wi-Fi and USRPs This demo provides valuable insights into how the AiR Cognitive Agent Platform can help network operators autonomously maintain network resilience and reliability.
ISSN:2155-7586
DOI:10.1109/MILCOM61039.2024.10773895