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• Problem Statements from Army Capability Manager Tactical Radios (ACM TR)
• Problem Statement from Army Capability Manager Networks and Services (ACM N&S)
• Problem Statements from Cyber Battle Lab (CBL)
• Problem Statements from Army Capability Manager Electronic Warfare (ACM EW)
• Problem Statements from Army Program Office-Information Advantage (APO-IA)

Problem Statement 1:

Title: Non-Traditional Waveforms for Information Advantage (IA)

Problem Statement: In competition and crisis, what waveforms does the Army require to be implemented on available software-defined radios for Information Advantage to maintain freedom of action and impose its will against peer adversaries in all domains to deter conflict while re-establishing a position of strategic advantage?

Traditionally waveforms implemented on software-defined radios have been developed and employed with resiliency in mind to gain and maintain decision dominance and support to tactical maneuver through effective voice and data communications. This traditional function is an essential element to achieve Multi-Domain Operations (MDO). However, other waveforms are required to achieve needed Electronic Warfare (EW), Cyberspace Operations, and information effects.

Why this is important: Answers to this problem will inform future experimentation and requirements for tactical software-defined waveform and radio development.

Problem Statement 2:

Title: Near Term Emerging Radio Technologies

Problem Statement: In crisis and conflict, how does the Army maintain resilient data and assured voice communications to gain and maintain decision dominance while persisting through adversary anti-access/area denial (A2/AD) capabilities?

To support Information Advantage at the tactical edge, the Army will require intelligent software-defined radios, waveforms, and ancillaries that improve mobility, cover (hardening/concealing), and deception.

Why this is important: : Answers to the problem will inform future experimentation and requirements for tactical software-defined waveform and radio development.

Problem Statement 3:

Title: C4ISR/EW Modular Open Suite of Standards (CMOSS) Compliant Capability

Problem Statement: From competition through conflict, what CMOSS compliant capabilities building upon existing CMOSS Mounted Form Factor (CMFF) efforts are required to achieve Information Advantage in Multi-Domain Operations (MDO)?

The Army is pursuing methods to improve size, weight, power, and cost (SWAP-C) and integration of overall Cost, Schedule, and Performance factors relevant to supporting Warfighting Functions during Multi-Domain Operations (MDO). The Army identified the need for a CMFF materiel solution to facilitate the consolidation of disparate systems into a common ruggedized chassis. (C4ISR/EW Modular Open Suite of Standards (CMOSS) Form Factor (CFF) (CMFF)- Abbreviated – Capability Development Document (A-CDD) signed 04 JAN 2021)

The Army is seeking the best methodologies, CMFF chassis technologies, and CMOSS compliant capability cards to achieve Information Advantage (IA).

Why this is important: CMOSS implementation has the potential to improve SWAP-C, overall costs, schedule timelines, performance, simplify integration, and increase the pace of modernization. Modernizing IA capabilities to pace threats and meet operational demand plays a critical role from competition through conflict.

Problem Statement 4:

Title: Network Modernization

Problem Statement:The Army has a requirement to advance its tactical networks to counter emerging threats, enable new forms of maneuver, and maintain integration with military Information Technology (IT) services available stateside – all while taking advantage of rapid innovation from the commercial IT industry.

Communicating securely with command-and-control and other units within the increasingly communications-reliant battlefront landscape is critical to ensure the success of the mission and the safety of warfighters. However, as the battlefield evolves, missions require units to be mobile and support a myriad of tactical capabilities, such as:

• Networks that are self-healing; provide ease of entry; enable high data bandwidth; are protected and resilient; support mobility (no static infrastructure to support); are light weight; and are extensible when augmented with aerial nodes.
• Maximize Cyber (CY)/Electronic Warfare (EW) effects delivery through network and tactical Radio Frequency (RF) systems.
• Integrate systems/data with Electronic Warfare Planning Management Tool (EWPMT), Cyber Situational Understanding (CY SU), and Unified Network Operations (UNO).

Why this is important: To enable our warfighters to communicate at all echelons in contested and congested environments during the conduct of Multi-Domain/Joint All-Domain Operations (MDO/JADO) up through Large Scale Combat Operations.

Question 1: What impacts will Information Advantage (IA) Operations have to the DoDIN-A within the Integrated Enterprise Network (i.e.: network security, network transport, services infrastructure, computing environment, Department of Defense Information Network (DoDIN) Operations, etc.)?

Question 1: What impacts will Information Advantage (IA) Operations have to the DoDIN-A within the Integrated Tactical Network (i.e.: network security, network transport, services infrastructure, computing environment, Department of Defense Information Network (DoDIN) Operations, etc.)?

Problem Statement 5:

Title: Human Behavior Modeling in Support of Information Advantage Effects Adjudication

Problem Statement: Current Army Modeling and Simulation (M&S) capabilities generally do not incorporate human behavior modeling at the tactical/avatar level, and only limited human behavior modeling capabilities exist at the operational/group level. The video game industry, however, has utilized basic to advanced human behavior models and algorithms for decades.

How can the Army leverage private industry’s work by incorporating human behavior models and algorithms into Army programmatic M&S capabilities, particularly for virtual and constructive M&S capabilities?

Why this is important: Increasing emphasis on adjudicating the effects of operations and actions within Information Advantage’s Information Related Capabilities will quickly require greater demand to model human behavior and reactions to complex stimuli.

Problem Statement 6:

Title: Identify Capabilities that Can Support Army Military Information Support Operations Using Radio Frequency Delivery Methods

Problem Statement: The data outputs from Information Warfare (IW), Open Source Intelligence (OSINT), Publicly Available Information (PAI), Public Affairs Officer (PAO), and Military Information Support Operations (MISO) do not strongly conform to the Object Based Production in practice across the Intelligence Community (IC). The automated ability for entity objects generated from activities related to IW is very relevant to the transformative nature of deep sensing for Intelligence and Cyber operations.

Why this is important: The Army must know how to maintain resilient data and assured voice communications to gain and maintain decision dominance while persisting through adversary Anti-Access/Area Denial (A2/AD) capabilities during completion and armed conflict.

Problem Statement 7:

Title: Cross-Domain Solutions for Army Tactical Networks

Problem Statement: Army electromagnetic warfare systems, including the Electronic Warfare Planning and Management Tool (EWPMT) operate and process or utilize data on the Secret NOFORN (S//NF) classification domain at brigade and below. However, the Command Post Computing Environment (CP CE) on which most Army computing systems will function has a mandate to operate no higher than Secret Releasable (S//REL) classification domain at brigade (BDE) level and Sensitive But Unclassified (SBU) classification domain at battalion (BN) level.

Why this is important: Without a viable Cross-Domain Solution, many Army capabilities will effectively become useless as they will not be able to access, process, or share critical data.

Problem Statement 8:

Title: Automated Signal Recognition and Technique Generation

Problem Statement: To achieve Electromagnetic Spectrum Dominance, the Army desires the ability to automatically detect and identify signals from 1kHz – 40GHz with an output of equipment notation (Communications Emitter Notation (CENOT), Electronic Intelligence Notation (ELNOT), Commercial ID, or Waveform) and generate techniques to mimic, or disrupt, signals at the given range from the receiver or recommend optimum transmitter placement based on user selected terrain and desired effect (Disruption, Emulation/Spoofing, or Link establishment for connectable devices).

Why this is important: This will reduce the task load on Army Electronic Warfare Operators in a dynamic and saturated Multi-Domain environment.

Problem Statement 9:

Title: Managing Information Related Data

Problem Statement: The Army requires a means to aggregate, store, and secure information related data across disparate platforms and sensors to provide a common operating picture of the information dimension in the operating environment. Currently there are many different organizations and systems that obtain information related data but most of those are not shared. With the development of Information Advantage organizations and capabilities, there is a greater need to share this data.

Why this is important: When all information related data is shared and displayed in a common operating picture, the commanders are able to speed up the decision making process and decrease adversaries’ ability to make decisions.

Problem Statement 10:

Title: Publicly Available Information (PAI)

Problem Statement: The Army lacks the ability to achieve Information Advantage through the use and application of publicly available information. The Army will require the ability to sense, understand, act, and decide on publicly available information. Publicly available information increases the situational awareness and enhances the common operating picture and information operations.

Why this is important: To conduct effective operations across the competition continuum, soldiers, leaders, and organizations must master the use of PAI in each of the Army’s strategic roles: competition below armed conflict, prevail in large-scale ground combat, and consolidate gains.

Problem Statement 11:

Title: Cross-Domain Solutions

Problem Statement: The Army lacks an effective, timely, and collaborative means to collect, process, analyze, and share information across domains and disparate classification systems.

Why this is important: The Army requires the ability to merge data across classification domains and standardize data structures, which will enable information related data to be able to better sense and understand information advantage activities.