Spectrum Challenges

11:00 AM – Telemetry Spectrum Encroachment Review of Related WRC-27  Agenda and Domestic Threats
Tim Chalfant, GMRE Inc. and Guy Williams, International Consortium for Telemetry Spectrum

A review of international and domestic spectrum issues that present challenges for the future use of radio frequency telemetry after the 2023 World Radiocommunications Conference (WRC-23). Several agenda items addressed there have a potential for telemetry spectrum encroachment and are presented in this paper. Agenda topics of telemetry interest in future World Radiocommunications Conferences (WRCs), in particular several agenda items that will be considered at the 2027 World Radiocommunications Conference (WRC-27), are a particular focus. International telemetry vendors, suppliers, and users need to be aware of, and potentially engage with, their national administrations on these items to protect and preserve spectrum for the future of aeronautical mobile telemetry.

11:20AM – Leveraging Pilot Sequence Orthogonality for Low Complexity Space-Time Coding Receivers
Oussama Ait Sidi Ali and Alain Thomas, Safran Data Systems; Bertrand Le Gal, IRISA Laboratory; Romain Tajan, IMS Laboratory

This paper explores CPM waveforms used for telemetry purposes, with a specific focus on SOQPSK-TG and its integration with Space-Time Coding to address the two-antenna problem. Current state-of-the-art receiver algorithms face challenges, including delays, error propagation, and poor performance at low SNR levels. To address these issues, this paper introduces a novel receiver design leveraging improved correlation properties of new pilot sequences. The proposed design performs CSI estimation at the pilot detection stage, thus eliminating iterative processes, mitigating long synchronization times, and enhancing receiver performance at lower SNR levels.

11:40 AM – Building Spectrum Planning and Analytics Tool as a CHEETAS Application
Achilles Kogiantis, Tony Triolo, and Sunil Samtani, Altio Labs

TRMC CHEETAS framework has evolved into a software suite that is not only being used for out-of-box big data/ knowledge management but is also a competitive feature-rich full-stack development environment. Our approach leverages TRMC CHEETAS tech stack to unify existing spectrum management tools such as Spectrum Usage Management System (SUMS), Spectrum Access Manager (SAM) and other Spectrum Situation Awareness (SA) tools that are based on their own proprietary stacks into a Comprehensive Spectrum Tool for our test and training ranges. Leveraging CHEETAS’ self-governance features, clustering, and flexible choices on backend data storage, we propose to enhance and extend CHEETAS in such a way that they can form a decentralized mesh network structure in which each range spectrum manager can independently provide spectrum management for his range and contribute to and benefit from shared assets/data/knowledge/operations with other ranges.