Reinforcement Learning Environment for Tactical Networks

Mohlenhof, Thies; Jansen, Norman; Rachid, Wiam

doi:10.1109/icmcis52405.2021.9486411

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…RL agents were trained to accomplish the goal, which was to optimally utilize tactical network resources. 9 Judd et al described the ongoing development of SMARTnet, a system designed to transform, prioritize, and control the flow of information across tactical DIL networks by understanding the current military context through the use of AI/ML approaches. 10…”

Section: Networkmentioning

confidence: 99%

Tactical agility for AI-enabled multi-domain operations

Sturzinger¹,

George²,

Satyanarayanan³

2023

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V

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Commanders must remain agile and adaptive in the future Artificial Intelligence (AI)-enabled multi-domain battlespace, where critical decisions are made at the tactical edge. Over-reliance on static, cloud-centric approaches to Machine Learning Operations (MLOps) compromises such agility and adaptability. These systems must operate in a dynamic threat environment, and learn to detect novel threats during operation. They must be able to perform this learning through the execution of tactical MLOps under austere and degraded conditions, especially limited wireless network bandwidth. In response to these requirements, this paper describes Hawk, a system that leverages edge proximity for rapid and iterative execution of the Observe stage of the Observe-Orient-Decide-Act loop. Central to this architecture is the use of tactical cloudlets. These mini data centers provide cloud-like computing resources without the communication latency to exascale data centers. Hawk enables a human to guide MLOps at low cognitive load, thus enabling an operational objective to be achieved at speed and scale while remaining usable and explainable.

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Section: Networkmentioning

confidence: 99%

Tactical agility for AI-enabled multi-domain operations

Sturzinger¹,

George²,

Satyanarayanan³

2023

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V

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“…All these technologies pave the path of development from 5G to the sixth generation (6G) [7], where AI is the key technology. Preliminary proposals are presented using Reinforcement Learning as an AI technique used by agents in tactical networks to learn autonomously, improving situational awareness [8].…”

Section: Introductionmentioning

confidence: 99%

New horizons in tactical communications: An overview of emerging technologies possibilities

Baeza,

Salor

2024

IEEE Potentials

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The proliferation of new technologies with 5G and future 6G networks may also find application in the field of military communications. However, new challenges must be considered due to the level of security required in tactical environments. In this article, we have focused on analyzing these challenges in practical use cases for military communications. First, we select and present a set of emerging technologies associated with 5G and 6G, such as Artificial Intelligence, network virtualization and softwarisation, Neuromorphic Processors, Internet of Things (IoT), Network Slicing, Tactile Internet or Blockchain, focusing on their applicability in tactical environments. On the other hand, we present an overview of the primary tactical radios that can face the challenges imposed by these technologies. Then, we show the main benefits and possible scenarios to improve efficiency in the military environment, such as situational awareness to increase the safety of soldiers on the battlefield, thanks to emerging technologies selected as potential candidates.

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“…These technologies collectively chart the course from 5G towards the anticipated sixth generation (6G) as discussed in [9], with AI taking center stage. Initial proposals are outlined in [10], where reinforcement learning, as an AI technique, is employed to enable autonomous learning by agents within tactical networks, ultimately enhancing situational awareness.…”

mentioning

confidence: 99%

Harnessing the Potential of Emerging Technologies to Break down Barriers in Tactical Communications

Concha Salor,

Monzon Baeza

2023

Telecom

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In the realm of military communications, the advent of new technologies like 5G and the future 6G networks holds promise. However, incorporating these technologies into tactical environments presents unique security challenges. This article delves into an analysis of these challenges by examining practical use cases for military communications, where emerging technologies can be applied. Our focus lies on identifying and presenting a range of emerging technologies associated with 5G and 6G, including the Internet of things (IoT), tactile internet, network virtualization and softwarization, artificial intelligence, network slicing, digital twins, neuromorphic processors, joint sensing and communications, and blockchain. We specifically explore their applicability in tactical environments by proposing where they can be potential use cases. Additionally, we provide an overview of legacy tactical radios so that they can be researched to address the challenges posed by these technologies.

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Reinforcement Learning Environment for Tactical Networks

Cited by 6 publications

References 9 publications

Tactical agility for AI-enabled multi-domain operations

Tactical agility for AI-enabled multi-domain operations

New horizons in tactical communications: An overview of emerging technologies possibilities

Harnessing the Potential of Emerging Technologies to Break down Barriers in Tactical Communications

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