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Special Notice Expired 1 notice 1 document

Lightweight Universal Codec DARPA-SN-26-86

Solicitation DARPA-SN-26-86 Copied Notice ID 1cf9300af2d34a7a8961bee57530fcff Copied DEPT OF DEFENSE — DEF ADVANCED RESEARCH PROJECTS AGCY
SAM.gov
Posted
Jun 05, 2026
Deadline
Jun 19, 2026
Set-aside
None
NAICS
541715
PSC
AC12

Summary

AI-generated · Jun 06, 2026

Develop a universal encoder-decoder (codec) capable of transmitting and receiving data using any known error correction code, including future codes, by leveraging GRAND techniques to enable adaptive, on-the-fly changes to error-correction schemes. The encoder must support a diverse, easily updatable suite of codes and pair with a GRAND-based decoder, incorporating the decoder’s noise model and other operating factors into its code selection to optimize link budget and mission performance.

Integrate these codecs into existing communications technologies to demonstrate improvements in efficiency, security, throughput, and interoperability, with record-setting low-power decoding and adaptive forward error correction. Success will be measured by code universality, link-budget improvements attributable to the codec, and performance in heterogeneous network environments. The program will be conducted at unclassified level with performers’ target implementations not to exceed Controlled Unclassified Information; participants may select their own target communication systems for integration and should identify candidates that will demonstrate the greatest impact of LUC.

Under the LUC program, DARPA IPTO will aim to develop a universal encoder-decoder (codec) capable of sending and receiving information using any known communication error correction code and any developed in the future. Leveraging the groundbreaking work of DARPA s Guessing Random Additive Noise Decoding (GRAND) study, the LUC program will aim to create an adaptive error correction codec capable of multiple on-the-fly changes to error correction codes. The program will seek to achieve this by developing an encoder capable of utilizing a highly diverse suite of error correcting codes that are easily updatable. The encoder is expected to pair with a GRAND-implementing decoder and the resulting codec will be designed such that the encoder incorporates the decoder s GRAND noise model as well as other operating factors into its code selection process for link budget and task/mission optimization. Integration of these codecs into various existing communication technologies would demonstrate improved efficiency, security, throughput, and interoperability achieved by record-setting low-power decoding and adaptive, dynamic forward error correction. The LUC program will evaluate the success of these codecs and integrated systems by measuring elements of code universality, link budget improvement solely through the implementation of the codec, and the communication systems performance in heterogeneous network environments. To maximize benefits of the LUC program and proliferation of its resulting technologies into both the commercial and military domains, DARPA will execute the program at the unclassified level with performers target implementations/integrations not to exceed Controlled Unclassified Information. Performers will be allowed to select their own target communication system(s) for integration and are expected to identify candidates that will demonstrate the greatest and/or most impactful improvement(s) through LUC implementation.

From Special Notice posted on Jun 05, 2026

Notice history

1
  1. Special Notice LATEST Posted Jun 05, 2026

Details

Solicitation number DARPA-SN-26-86
Notice ID 1cf9300af2d34a7a8961bee57530fcff
Notice type Special Notice
Product / Service (PSC) AC12
NAICS 541715
Archive date Jun 20, 2026

Award Information

Not yet awarded

Documents

1
View on SAM.gov

Contacts

primary
BAA Coordinator

Email

Agency

DEPT OF DEFENSE
DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
DEF ADVANCED RESEARCH PROJECTS AGCY

Dates

Posted Jun 05, 2026 2 months ago
Last Updated Aug 06, 2026 2 days ago
Due Jun 19, 2026 1 month ago