SBIR/STTR Research Award

SBIR Phase II: Physical (PHY) Layer Rateless Codec Technology for Proximity Space Links

Award identifier c01bbcae5e304a36d1e0df0d2a58f090e4c4bdbf74e0674eb6ae28b819e734b1Awarding agency National Science Foundation

Award amount

$1,000,000

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
TFWIRELESS INC
Proposal award date
2024-05-15
Contract end date
2026-04-30
UEI
U2E9BZ5W11N5
Solicitation number
NSF 23-516
Topic code
SP

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project stems from developing a revolutionary wireless communications technology innovation based on physical (PHY) layer rateless codes which could provide high throughput and high coverage with low computational costs, minimum latency, and enhanced energy efficiency, i.e., long battery life. The initial target market is the space communications market, both commercial and government space programs. The Phase II project focuses on enabling technology addressing real capability gaps that could provide cheaper and faster solutions for the data communication systems of commercial and government space customers. The first testing ground for the novel PHY layer rateless codec technology will be the satellite and ground communications systems (gateways/terminals) of the PWSA - Proliferated Warfighter Space Architecture. In the commercial sector, well known companies are launching Low Earth Orbit (LEO) and Very Low Earth Orbit (VLEO) constellation of satellites for broadband connectivity in underserved and remote areas of the world. Both the satellite and consumer terminal of the mega satellite constellation systems can be equipped with novel modem solutions. The novel satellite modem will be on the supply chain of Satellite Vendors and Satellite Operators in the LEO market. Commercial customer end users include Airlines, Maritime vehicles, Mobile Network Operators for 5G connectivity and Cellular Backhaul, and Residential Internet Access. This SBIR Phase II project proposes to develop a Physical (PHY) rateless codes based novel link adaptation transmission technology for the reliable transmission of information bits between a wireless transmitter and receiver. PHY rateless codes have the innate ability to adapt both the code construction and the number of code bits for an as-need basis incremental transmission of code bits. The constituent code of link adaptation technology in the PHY layer works with the Automatic Repeat Request (ARQ) protocols in the data link layer. The Phase II project designs innovations for the component encoders and decoders of the PHY layer rateless codes such as designing a GRAND (Guessing Random Additive Noise Decoding) decoder for the LT codes, investigating the variable node degree design for the tradeoff between waterfall and error floor performance, pairing probabilistic amplitude shaping with PHY layer rateless codes and concatenation with CRC for maximizing the minimum Hamming distance for short block length performance. New design features based on deep learning/AI enhancements, structured permutations, and techniques for optimizing the LT code degree distributions will be added to the PHY rateless encoder and decoder. The expected technical results include patented designs for encoder, decoder, and the related software in Matlab/Python for the blocks of a `FutureG’ baseband modem. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2022–2024). Reported award amounts total $1,256,000. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

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