• Spectrum Supply and Demand Prediction Models

      Jones, Charles H.; Painter, Michael K.; C. H. Jones Consulting, LLC; Knowledge Based Systems, Inc. (International Foundation for Telemetering, 2018-11)
      There is a general belief that there is not enough spectrum available to meet T&E needs. How do we know this is true? The very few studies that have analyzed this have done so with limited data and limited modeling. Spectrum is a natural resource. An analogy to gold mining can be useful. A certain amount of gold exists in the ground, but it takes equipment to extract it. It is only the extracted quantity that is available as supply. Transmitters and receivers are the mining equipment that extract spectrum. Demand is different from requirements. A quagmire of debate surrounds requirements. Whereas, what testers want is their choice. There is evidence that not all demand is input into spectrum scheduling systems due to a combined perception by some testers of low priority and a lack of spectrum. Thus, use and request data do not even capture demand. This paper provides models and techniques that can aid analyses trying to predict the gap between spectrum supply and demand.

      Painter, Michael K.; Madanagopal, Karthic; Swaminathan, Kannan; Jones, Charles H.; Knowledge Based Systems, Inc.; C. H. Jones Consulting, LLC (International Foundation for Telemetering, 2018-11)
      There continues to be growing pressure to sell off spectrum currently allocated for defense purposes in favor of private sector applications, prompting concerns that we will soon reach a point where Department of Defense (DoD) needs can no longer be met. In response, the Range Commanders Council (RCC) Frequency Management Group (FMG) developed a baseline set of standard metrics to measure spectrum utilization, demand, efficiency, and operational effectiveness. Using this standard (RCC 707-14) as a foundation, a Spectrum Management Metrics Toolkit (SMMT) has been developed to calculate, plot, and display these metrics. The challenge now is leveraging these metrics to inform and construct the arguments needed to maintain access to needed spectrum. The purpose of this paper is to describe progress toward the development of a methodology and a set of analytics based on the RCC standard to build such a compelling narrative. The methodology is based on a data analytics and communication concept, called “Story Points,” which seeks to guide users in the discovery, composition, and delivery of targeted narratives and supporting graphics derived through mining available data sources.