Multi Objective Superposition Coding for Reliable Networks

We propose a multi objective rate adaptive superposition coding where the rates for super imposed coded modulation are chosen based on the metrics that are drawn from end to end performance and routing scores. This novel approach allows the system designers to tune the physical layer modulation and coding to maximize the network performance rather than the individual links in the network. Single objective optimization in physical layer design (maximizing rate or maximizing reliability) can potentially reduce overall network throughput as explained. The major challenge here is to find a way to achieve a stable and reliable link without sacrificing the available channel capacity.  The solution we propose to solve this problem is to use Superposition Coding. BENEFIT: In this project we will develop a superposition coding for Mobile Ad-Hoc Networks which improves network performance significantly by allowing nodes to communicate to each other with different rates simultaneously.  This technology is especially important for networks with high mobility such as Airborne Networks. Our immediate customer for this technology is Air Force where nodes are highly mobile. We expect that at the end of Phase II we will have a prototype of our technology in Hardware and ready for networking. This will give us an edge in an emerging market where robust and reliable networks are the primary requirements from the missions and applications.  We expect that Air Forcefs network requirements and networks used on other branches of DOD will require highly reliable links. During Phase II we will talk with the prime contractors such as Boeing, General Dynamics, and Raytheon in order to transition our technology into the program of records.