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Activity title

Federated Collaboration Services at the Tactical Edge

Activity Reference

IST-201 (AI2S)

Panel

IST

Security Classification

NATO UNCLASSIFIED

Status

Active

Activity type

RTG

Start date

2023-03-30T00:00:00Z

End date

2026-03-30T00:00:00Z

Keywords

Communication Technology, CrossLayer Optimization, Edge Computing, Interoperability, NATO Core Services, TacticalDIL environments

Background

The focus in FMN on achieving interoperability so far was mainly on stationary and deployable systems. It is important to investigate if and how the current Core Services can be deployed and made to work on the tactical edge in an FMN context. While the predecessor group IST-150 investigated Message-Oriented Middleware (MOM) Services for Publish/Subscribe and Request/Response, this group will investigate solutions to increase the performance of Communication and Collaboration Services (e.g., Tactical data sharing (including tracks and images), Audio-based Communication Services and Video-based Communication Services), which are part of the Business Support Services below the Core Services in the C3 taxonomy). By enabling this, we can increase the level of future mission interoperability. While some protocols/codecs for audio and video in the tactical domain already are proposed in the Tactical Edge Syndicate in FMN, this group aims to investigate whether the performance and quality of voice and video services can be further increased by use of cross-layer optimizations and artificial intelligence (AI). Edge computing is a part of a distributed computing in which information processing is located close to the edge - where “things” and people produce or consume that information. At the tactical edge, edge computing capacities involves the deployed units taking part in the mission. We aim to investigate AI approaches suited for edge nodes, supporting such user-facing digital-enabled applications as audio and video. Further, we also aim to investigate AI as a means to configure and maintain the tactical platform and communications capacities, including aspects of cross-layer exploits, and distributed resource discovery and management.

Objectives

The result of this work will be the development and evaluation of smart mechanisms to increase the quality of data, voice, text, and video services on the tactical edge. For this purpose, current approaches from edge computing, cross-layer optimization and AI based optimization of audio and video streams are considered. Further, we aim to investigate technologies supporting distributed resource discovery and management. AI should be investigated as a means to automatically configure the tactical infrastructure. This includes approaches to management, and distributed service and resource discovery. Further, technology evaluations of relevant data formats, standards, and bespoke solutions under relevant testing (lab or real) conditions will be performed to provide guidelines and input to future FMN spirals.

Topics

• Development of Cross-layer and AI based mechanisms for optimizing the quality of data, voice, text, and video services • Development of AI based mechanisms for tactical infrastructure optimization and configuration • Evaluation of the implemented approaches in a simulated tactical edge network environment • Specification of multilateral cross-layer API for services (e.g., audio and video) • Approaches to tactical node resource discovery, service discovery, and management.

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