• SIMULATED RADIOS FOR STRESS TESTING OF INET LINK MANAGER

      Fecko, Mariusz; Kim, Heechang; Cichocki, Andrzej; Wong, Larry; Radke, Mark; Young, Tom; Grace, Thomas; Perspecta Labs; Bevilacqua Res. Corp.; USAF AFMC; et al. (International Foundation for Telemetering, 2018-11)
      IP-based telemetry systems such as iNET require extensive lab testing prior to fielding. Current iNET testbeds typically use several real radios and a mix of pre-recorded and live telemetry traffic. However, stress testing the iNET Radio Access Network (RAN) is hard to perform experimentally because of the limited number of available telemetry radios. To scale up the testing to a larger number of radios, we developed portable, low-cost VM-based telemetry radio simulators that interact with the iNET Link Manager (LM) and real radios to provide additional (emulated) links and queue depth reports. This approach makes it possible to establish the upper limit on the numbers of Test Articles that the LM can handle under various conditions. It also allows for fast reconfiguration of the number and set-up of simulated radios to test out specific use cases. The simulated radios free up real radios for off-site tests while preserving the ability for the continuous testing of LM features until real radios can be reclaimed. The developed testbed is portable owing to its lightweight set-up on the low-cost mac-mini computers. This makes it easy to use simulated radios also in off-site testbeds and field experiments.
    • SPECTRUM MANAGEMENT SYSTEM – FREQUENCY ASSIGNMENT DE-CONFLICTION AND RF LINK QUALITY PREDICTION

      Madon, Phiroz H.; Young, Tom; O’Brien, Thomas; Radke, Mark; Vencore Labs Development Team; Test Resource Management Center (International Foundation for Telemetering, 2018-11)
      DoD test ranges are experiencing ever-expanding needs for air-to-ground telemetry bandwidth, and hence are under pressure to manage the telemetry spectrum resource with high efficiency. The Spectrum Management System (SMS) provides test range operations staff with advanced tools for frequency de-confliction and air-to-ground RF link quality prediction for upcoming test flights. Additional features of the system include: automated, algorithmbased frequency de-confliction and assignment; record-keeping and automated archiving of frequency assignments, to be used for spectrum defense; 3-D GIS terrain-based coverage maps, displaying predicted air-to-ground link quality in each part of upcoming flights; determination of opportunities for frequencies reuse. Innovations include: addressing the combinatorial NP-hard problem of frequency assignment by applying multiple real-world constraints in a specified order; using a spectrum white space closest-fit algorithm to minimize spectrum fragmentation; creating space-time-frequency quanta in the database to store RF emissions for rapidly-moving aircraft.
    • SPECTRUM USAGE MEASUREMENT SYSTEM

      Madon, Phiroz; Fecko, Mariusz; Ziegler, Robert; Samtani, Sunil; Harasty, Daniel; Shen, John; Painter, Mike; Jones, Charles; Young, Tom; O’Brien, Thomas; et al. (International Foundation for Telemetering, 2018-11)
      DoD flight test ranges need to track telemetry spectrum usage to defend against future sell-offs, as well as operate with high spectral efficiency. The Spectrum Usage Measurement System (SUMS) characterizes spectrum usage and requirements at test ranges, and assesses operational impacts and costs on Test and Evaluation. The system relies on mission planning and scheduling data acquired from test range planning systems, as well as measurements obtained from telemetry receivers and frequency scanning sensors. SUMS key capabilities include: (1) collecting over-the-air evidence of actual assigned frequency usage; (2) combining this data with mission plans to produce an accurate representation of telemetry spectrum usage through the space, time, and frequency dimensions; (3) providing users with a data warehouse of spectrum usage, potentially spanning multiple years, with test ranges across CONUS, and (4) providing data analytics and visualization techniques that combine 3-D terrain-based heat maps with usage metrics charts.