SBIR/STTR Research Award
Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation Techniques
Award amount
$749,863Program and phase
STTR · Phase IIAward year
2012Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- ANDRO COMPUTATIONAL SOLUTIONS LLC
- Proposal award date
- 2012-09-24
- Contract end date
- Not reported
- UEI
- RJP8JJQGMKY4
- Solicitation number
- 2010.B
- Topic code
- AF10-BT09
Research abstract
ABSTRACT: The ultimate objective of the joint effort is to develop technology that will enable next-generation cognitive wireless networking between USAF space, air, and ground assets and achieve significant improvement in network throughput, delay, and reliability. Current practices that evolve around standard ad hoc networking techniques based on the layered protocol stack with fixed spectrum allocation are known to offer inadequate throughput and reliability in highly dynamic adversarial communication environments such as the space/air/ground USAF domain. The objective of this project is therefore to investigate, study, and demonstrate a completely new approach to joint routing and spectrum allocation. While the core of cognitive radio network proposals rely on the notion of spectrum hole, i.e., radios attempt to find a single unused band which can be opportunistically used by secondary users, in the work outlined in this report cognitive users transmit wideband spread-spectrum signals that are designed to adaptively avoid the interference dynamics of the available spectrum at the receiver. BENEFIT: If we are successful, we will implement and demonstrate the dynamic network control technology that will be instrumental towards developing the next generation cognitive networking technology between USAF space, air, and ground assets and achieve a significant improvement in network throughput, delay, and reliability.
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.
- Drone-HAWK: Software-defined Modular Multi-domain Drone Threat characterization system
- RF-Gen: AI/ML Ready RF Data with Automated Augmentation and Adversarial Resilience
- O244-P002-0107 CyberFort: Fortified Zero-Trust Security for 5G/FutureG Networks
- Federated Open Source Beyond 5G (B5G) Test Environment – Enabling NextG AI/ML and Security Solutions
- DeepConsensus: Deep learning-based distributed consensus approach for heterogeneous spectrum sensors
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S): Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation (AXL-RO
- Next-generation ad hoc networking through joint cognitive routing and spread-spectrum channelization
- Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation Techniques