Despite loose interactions between military and commercial satellite communication (MILSATCOM and COMSATCOM) communities, the integration of MILSATCOM and COMSATCOM can be a cornerstone to the realization of seamless SATCOM services. In this topic, flexible capabilities and requirements from Software-Defined Networking (SDN) and Network Coding (NC) foundations are leveraged to potentially enable enterprise management and control reference architectures in realizing appropriate management and control planes overlay on the end-to-end SATCOM capability, within which diverse arrays of SATCOM access networks and terminals could be brought into the SATCOM enterprise with efficient use of time-bandwidth resources and satisfaction of communication reliability. Primary interests are in integrated systematic approaches, requirements and guidelines for SDN-based overlay and data forwarding protocols that reside at network operation centers to interface with user planes (including, MILSATCOM and COMSATCOM gateways together with the corresponding SDN switches or routers; satellite transponders; ground transport infrastructures; etc.). State-of-the-art knowledge graphs and deep learning frameworks could be utilized for autonomous diagnostics and prognostics to anticipate for weather impairments, feeder link outage events, gateway buffer occupancies, and satellite link condition measurements. With respect to traffic flow association and re-allocation subject to service level agreements and pooled satellite resources together with maximum acceptable delay, minimum required throughput, and maximum tolerated losses, NC seemingly appears to be a promising approach to the much needed development of innovative handover and load balancing strategies required to distribute multi-class traffic flows throughout the available gateways and to re-allocate traffic flows in case of gateway link outages.

References:

1. K. D. Pham, "Achieving Joint Transmission and Performance Reliability with Minimal-Cost-Variance Control," IEEE National Aerospace and Electronics Conference, pp. 591-597, 2019

2. K. D. Pham, "Using Learning and Control Engineering to Improve Regulatory Review of Flexible SATCOM Terminal Advocacy," IEEE Aerospace Conference, 2019

key words

Enterprise Management and Control; Software-Defined Networking; Network Coding; Knowledge Graphs; Deep Learning; Multi-class Traffic; Traffic Association and Reallocation; Handover Strategy; Load Balancing

Citizenship:  Open to U.S. citizens

Level:  Open to Postdoctoral and Senior applicants