ISART 2020 was fully virtual and focused on what a “zero-trust” network environment means from a 5G spectrum perspective. ITS received mixed feedback on the breadth of the topic. Accordingly, in 2021 an abbreviated ISART prequel was held on September 21, 2021, in conjunction with the annual NTIA Spectrum Policy Symposium to collect stakeholder feedback in preparation for a full ISART 2022. At the Symposium, ITS moderated a panel discussion on data-, science-, and technology-driven ways to evolve and expedite spectrum-sharing analyses and decision-making. ITS also announced an ISART 2022 Call-for-Papers focused on potential models for regulatory improvements to evolve spectrum sharing, along with suggested paper topics, and submission guidelines.
The goal proposed for ISART 2022 was to chart a roadmap and gain consensus for specific data-, science-, and technology-driven means to evolve and expedite spectrum-sharing analyses and decision making. Topic suggestions included retrospectives on recent spectrum sharing proceedings and applying lessons learned; reducing margins within the technical aspects of spectrum sharing feasibility analyses; incentives for enhanced data sharing and transparency for continuous improvements and shorter timeframes, driving for stakeholder community involvement and acceptance of models; application of risk-based interference prevention to spectrum sharing; and opportunities for continuous improvements and developments beyond the current linear spectrum sharing process.
12:45 pm - Introducing the ISART 2022 Call for Papers
Evolving Spectrum-Sharing through Data-, Science-, and Technology-Driven Analysis and Decision-Making
Rebecca Dorch, Senior Spectrum Policy Analyst, NTIA Institute for Telecommunication Sciences
1:05 pm Panel Discussion
Expediting and Improving Spectrum-Sharing Processes
This panel of technical representatives from government, industry, and academia addressed ways and means for engineering studies to improve spectrum-sharing policies. Panelists shared perspectives on how the timing and availability of accurate technical and deployment density data impacts engineering studies and feasibility assessments, and ultimately the technical parameters of spectrum-sharing policy. The panel discussed improving models used to predict both propagation and interference, and opportunities for collaboration to develop community consensus on those models in order to expedite decision-making.
2:10 pm - Presentation on Standardizing Mid-band Propagation Models
Michael Cotton, Chief, Telecommunications Theory Division, NTIA Institute for Telecommunication Sciences