This Government Contract opportunity from Department Of Defense was posted on June 5, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Lightweight Universal Codec
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The Lightweight Universal Codec program, announced through DARPA-SN-26-86, aims to revolutionize communication systems by developing a universal encoder-decoder capable of dynamically adapting to any existing or future error correction code. Building on the foundational GRAND noise decoding research, the program seeks to create an adaptive codec where the encoder integrates the decoder’s noise model and operational parameters to optimize code selection in real time for link budget efficiency and mission-specific performance. The encoder must support a broad and easily updatable set of error correction codes, enabling on-the-fly transitions between them without system redesign, while the decoder leverages GRAND’s low-power capabilities to maximize throughput and energy efficiency. Success will be measured by the codec’s universality across codes, the degree of link budget improvement achieved solely through its implementation, and its robust performance in complex, heterogeneous network environments. Integration into diverse existing communication platforms is required to validate improvements in security, efficiency, and interoperability, with performers given autonomy to select target systems that best demonstrate transformative impact. The program operates entirely at the unclassified level, with all implementations and integrations restricted to Controlled Unclassified Information to ensure broad accessibility and potential for adoption across both commercial and defense sectors. This notice serves solely as an information and planning tool and does not constitute a formal solicitation; no proposals will be accepted in response to this announcement, and no contract awards, evaluation criteria, deliverables, or funding levels are defined herein. The official solicitation, if issued, will be published separately on SAM.gov. The notice, posted on June 5, 2026, with a response deadline of June 19, 2026, is managed by the Defense Advanced Research Projects Agency under NAICS code 541715 and is addressed to industry and research entities through the primary point of contact at LUC@darpa.mil, with all activities centered in Arlington, Virginia.
General Info
Agency
NAICS
Place of Performance
VASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
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.
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