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Radio Shop Chat: An Introduction to Spectrum Consumption Models
November 6 @ 1:00 pm - 2:00 pm
SpectrumX invites you to our next Radio Shop Chat: Presented by Dr. John A. Stine, Head of MITRE’s Operations Research Department, and Dr. Carlos E. Caicedo Bastidas, Associate Professor and Director of the Center for Emerging Network Technologies (CENT) at the School of Information Studies at Syracuse University.
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Abstract: The continuous growth in the use of wireless services requires new approaches to the management of its key resource – the radio frequency spectrum. Modern approaches for spectrum management focus on moving away from rigid management policies and instead are embracing dynamic spectrum access (DSA) and spectrum sharing mechanisms.
The implementation of several DSA and spectrum sharing mechanisms will require an effective means of communicating the characteristics and limits of spectrum use of an RF transmitter, receiver, system, or collection of systems in order to handle and manage RF interference. Spectrum consumption models (SCMs) as defined by the IEEE 1900.5.2 standard, provide an information model to capture the spectral, spatial, and temporal characteristics, and boundaries of the use of spectrum by any specific transmitter or receiver device or RF system.
Additionally, the standard defines the criteria to arbitrate compatibility among combinations of RF devices and/or systems that have expressed the boundaries of their spectrum use with SCMs. SCMs built in accordance with IEEE 1900.5.2 allow spectrum users to describe their anticipated use of spectrum so that the various stakeholders can understand and resolve conflicts enabling key processes for the management of Dynamic Spectrum Access and spectrum sharing. SCMs are ideal for users to negotiate boundaries for spectrum sharing and spectrum trading. Their modeling methods were designed to make compatibility computations tractable and so SCMs enable the creation of algorithms to optimize the use of spectrum across multiple users. SCMs are machine readable and can be used to provide spectrum use policy to spectrum dependent systems (SDSs) for autonomous selection of RF channels and/or collaboration in the use of shared spectrum.
This presentation will introduce attendees to the IEEE 1900.5.2 Standard for Modeling Spectrum Consumption. It will cover the motivation for using SCMs and their role in dynamic spectrum access and spectrum management and provide an understanding of how compatibility of SCMs is arbitrated and can be used to conceive of algorithms that automate spectrum management and dynamic spectrum access tasks.
Speaker Biographies:
Dr. John A. Stine: Prior to joining MITRE, John served 20 years as an engineer and as an ORSA in the U.S. Army. He is currently the Head of MITRE’s Operations Research Department. He is the inventor of model-based spectrum management and spectrum consumption modeling and was the editor of the IEEE 1900.5.2 Standard. Dr. Stine received a Bachelor of Science degree in General Engineering from the United States Military Academy at West Point, Master of Science Degrees in Electrical Engineering and in Manufacturing Systems Engineering from the University of Texas at Austin and a Doctorate in Electrical Engineering from the University of Texas at Austin. He is currently the chair of the IEEE Dynamic Spectrum Access and Networks Standardization Committee’s (DySPAN-SC) 1900.5 working group on Policy Language and Policy Architectures for Managing Cognitive Radio for Dynamic Spectrum Access Applications. He is a senior member of the IEEE and was registered as a professional engineer in the State of Virginia.
Dr. Carlos E. Caicedo Bastidas: An Associate Professor and Director of the Center for Emerging Network Technologies (CENT) at the School of Information Studies at Syracuse University, NY, USA. He is a member and Vice-Chair of the IEEE Dynamic Spectrum Access and Networks Standardization Committee’s (DySPAN-SC) 1900.5 working group on Policy Language and Policy Architectures for Managing Cognitive Radio for Dynamic Spectrum Access Applications. He has been a Visiting Scientist/Professor at the Wireless Information Network Laboratory (WINLAB) at Rutgers University (2019) and at the University of Arizona (ECE Department – 2012). His research interests and areas of expertise are in the areas of Dynamic Spectrum Access, information security and agent-based modeling. He has a Ph.D. in Information Science from the University of Pittsburgh and holds M.Sc. degrees in Electrical Engineering from the University of Texas at Austin and from the Universidad de los Andes, Colombia.