NASA SBIR 2015 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 15-1 H9.02-9004
SUBTOPIC TITLE: Intelligent Communication Systems
PROPOSAL TITLE: Cognitive Engine enabled Mission-aware Intelligent Communication System for Space Networking

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 190
Rockville, MD 20855 - 2737
(301) 294-5221

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Lei Ding
lding@i-a-i.com
15400 Calhoun Drive, Suite 190
Rockville, MD 20855 - 2737
(301) 294-5235

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Mr. Mark James
mjames@i-a-i.com
15400 Calhoun Drive, Suite 190
Rockville, MD 20855 - 2737
(301) 294-5221

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 3

Technology Available (TAV) Subtopics
Intelligent Communication Systems is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Cognitive radio technology provides spectrum agility to increase the level of cognition and automation. However, spectrum agility alone is not enough to achieve reliable communications for space networks. Mission success often requires network agility across the protocol layers for environmental awareness and autonomous reconfiguration. This is still an unsolved problem. Specifically, multi-hop wireless/satellite networks with dynamic radio spectrum calls for the development of novel spectrum-aware routing and scheduling algorithms. Most recent work has focused on traditional wireless networks. The effort is still at an early stage and their results cannot be directly applied to the space networks due to the unique characteristics such as large propagation delay, intermittent and asymmetric links, and limited storage space. Thus, further investigation is needed to understand how and where to apply cognitive and automation technologies to enable the network agility in space networks. To address this critical need, Intelligent Automation Inc. proposes a self-learning and adaptive communication system (s-LEAD) architecture for advanced space networks. The proposed technology builds on the cross-layer optimization framework to enable adaptive and self-optimizing cognitive radio networks capable of responding to environmental changes through joint control of spectrum management, physical-layer cooperation, and traditional networking functionalities. The key innovation of s-LEAD is to develop a reliable and adaptive decision making system with dynamic spectrum access (DSA) capability for hybrid satellite and ground networks with diverse traffic characteristics and quality-of-service (QoS) requirements. Our special focus is on how to enable situational awareness and self-adaptation with multiple objectives of throughput, spectrum utilization, and latency.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
s-LEAD has great potential to reduce operation costs and enhance the reliability for the NASA missions. Due to the heterogeneous nature of network assets and the lack of autonomy, the developed solution can be applied to the NASA's efforts on the integration of its current agency networks. The potential customers of our solution include robotic and human missions at locations ranging from the near Earth (e.g., EO-1) to deep space (e.g., Mars exploration).

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed solution also has great potential in dynamic military applications. Some example applications include Air Force Airborne Networks, and Joint Tactical Radio System Ground Mobile Radio. It can also be applied into a variety of commercial applications. The proposed system provides new design guidelines for SDR system development and opens new market opportunities regarding spectrum awareness and cyber security in wireless networks.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Algorithms/Control Software & Systems (see also Autonomous Systems)
Intelligence
Network Integration

Form Generated on 04-23-15 15:37