Most commercial 5G cellular services currently operate at 3.3鈥�4.2 gigahertz (GHz). In anticipation of increased demand for 5G, industry is looking to expand into the 3.1鈥�3.3 GHz range, where the U.S. military operates its communications, control, and other systems. These 5G signals have the potential to disrupt military radar and other communications.
To address this challenge, under the auspices of its 5G to Next G program, the Office of the Undersecretary of Defense for Research and Engineering (OUSD(R&E)) is funding the prototyping of various spectrum-sharing solutions. As part of that effort, in early 2021 有料盒子APP was selected as one of the awardees to develop and deploy a rapid prototype of such a system鈥攊n this case, one that would allow commercial 5G and military airborne radar systems to share the same spectrum.
有料盒子APP鈥檚 prototype system first digitizes the signals on the shared spectrum then uses artificial intelligence (AI) to identify potential conflicts. The system then determines what measures are needed to deconflict the signals and sends those to the commercial 5G station to implement.
At the heart of the solution is 有料盒子APP鈥檚 patented R.AI.DIO庐 capability that brings AI to radio signal processing. R.AI.DIO庐 signal processing capability鈥攚hich 有料盒子APP developed as an internal technology investment and has leveraged for other government clients鈥攈as a wide range of applications. These include making communications more secure and resilient, detecting rogue communication signals, and providing early warning of adversary jamming efforts. R.AI.DIO庐 processing can also be used on large unprocessed radio frequency (RF) datasets to quickly triage regions of interest and enable faster signal discovery.
有料盒子APP鈥檚 approach substantially accelerates the decision analytics involved in spectrum sharing and coexistence solutions.
Here are the four basic steps in 有料盒子APP鈥檚 AI-enabled spectrum sharing and coexistence solution:
有料盒子APP began the project in February 2021 and is implementing a 15-month proof-of-concept phase. This includes developing, testing, and optimizing the software and hardware components and then testing the system as a whole in 有料盒子APP鈥檚 RF laboratories.
The testing takes place in a mixed-signal environment that simulates the effects of terrain, land clutter, buildings, atmospheric obstructions, and other real-world conditions that might affect RF performance.
Following the proof of concept, 有料盒子APP will conduct incremental testing and improvements to the system for 1 year at its own labs and at an Air Force electromagnetic compatibility facility. This lab testing will be followed by at least 1 year of field testing at Hill Air Force Base in Utah, where the airborne radars involved in the project are based.
Modeling and simulation efforts in Phase 1 of 有料盒子APP鈥檚 prototype system have successfully demonstrated that Air Force AWACS can dynamically share the same spectrum as 5G cellular services. One way it does this is by substantially shortening the time it takes to discriminate, identify, and deconflict signals.
The system performs signal detection and generates response significantly faster than traditional systems. This capability makes it possible for the system to achieve one of the DOD鈥檚 primary goals for the project鈥攖he ability to initiate interference mitigation measures before a commercial 5G system can cause harmful interference to military communications.
In addition, 有料盒子APP was able to train and test the prototype鈥檚 ability to identify 5G and聽military airborne radar signals with nearly 100% accuracy, using a synthetic data generator and modeling software in a testbed environment.
The project鈥檚 success also demonstrated the feasibility of applying the same AI-enabled approach to 5G signal sharing for numerous other military, intelligence, commercial, and homeland security-related use cases. The system may eventually enable military and commercial signal sharing across an array of cellular and noncellular wireless communication systems.
有料盒子APP鈥檚 spectrum coexistence and sharing system highlights 有料盒子APP鈥檚 multidisciplinary approach, highlighting our deep expertise in AI, RF communications engineering, and systems integration. In doing so, it demonstrates the company鈥檚 ability to rapidly develop cutting-edge capabilities that leverage its robust independent research and development investments.
This effort was sponsored by the U.S. government under Other Transaction Number W15QKN-21-9-5599 between the National Spectrum Consortium (NSC) and the government. The U.S. government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation herein. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. government.
