TITENN Inc. and the University of Central Florida (UCF) Institute for Simulation and Training (IST) are currently working with the U. S. Army Combat Capability Development Command (CCDC), U.S. Army Program Executive Office for Simulation, Training, and Instrumentation (PEO STRI), and the U.S. Army Training and Doctrine Command (TRADOC) to develop a new concept called the Synthetic Environment Radio Access Network (SE RAN) Standard for potential use in the U.S. Army's Synthetic Training Environment (STE). The SE RAN is an innovative methodology that differs from traditional simulation and training protocols such as DDS, DIS, TENA, HLA, and TSPI because it also incorporates compute, storage, latency, security, and other requirements as part of the methodology. In addition, the SE RAN Standard also differs from these legacy protocols because it includes the protocol and cloud microservice management to provide efficient, low-latency network and microservices management. This reduction in overhead and latency inherent in legacy protocols are required to meet the low latency requirements for Augmented Reality/Mixed Reality (AR/MR) operating in large-scale training events (e.g., Brigade-sized training events at the Combat Training Centers), and the increased network data/bandwidth requirements associated with the convergence of Synthetic and Live Training.

The paper will include an overview of the Modular Open System Architecture (MOSA) SE RAN Standard, an overview of the steps for transitioning the SE RAN Standard to the STE community. The paper will also include details on the current modeling efforts to validate the benefits of SE RAN Standard, including reductions in bandwidth and latency, improvements in security and how STE developers can build future training environment simulation solutions using the SE RAN Standard.

Frank Tucker

Affiliation

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Radio Access Network (RAN) Standard for potential use in the Synthetic Training Environment (STE)

Adapting Tactic Fire-Control for Indirect Fire Weapons in Live Training