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FACTS Program Engineering Support

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Federal

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The Institute for Telecommunication Sciences under the Department of Commerce is seeking technical expertise and engineering support for the Federal Advanced Communications Test Site program. This initiative focuses on three primary task areas: conducting research and development for spectrum sharing through modeling and simulation, managing an outdoor spectrum sharing testbed at the Table Mountain Field Site to study coexistence between commercial 5G systems and Federal systems, and improving spectrum sensing and situational awareness via new sensor prototypes and signal detection algorithms. This forecast is categorized under NAICS code 541330 and specifies that the place of performance will be in Boulder, Colorado. Interested parties can coordinate through the point of contact, John E. Carroll, regarding these specialized engineering requirements.

General Info

Engineering support for spectrum sharing research and 5G testing in Boulder, Colorado.

NAICS

541330 - Engineering Services

Place of Performance

BOULDER, CO

Set-Aside

NONE

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Organization & Contact Information

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AgencyDepartment Of Commerce → Inst. for Telecommun. Sciences
Contacts1 person available
OfficeN/A
Office AddressN/A
Contacts
JOHN E. CARROLL

Full Description

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NTIA/ITS requires technical expertise and engineering support services for the Federal Advanced Communications Test Site (FACTS) program across three task areas: (1) spectrum sharing research and development, including modeling and simulation of dynamic spectrum sharing approaches and machine-optimized sharing techniques; (2) development, deployment, and operation of an outdoor spectrum sharing testbed at the Table Mountain Field Site (TMFS) to support advanced co-existence research between commercial wireless systems, including 5G cellular, and incumbent Federal systems; and (3) enhancement of spectrum sensing and situational awareness capabilities at TMFS, including recommendations for and prototyping of sensor systems and signal detection and classification algorithms.

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