{"id":{"repo_id":"gmu","oai_identifier":"oai:MARS:1920/10630"},"canonical_url":"https://search.dev.ndltd.org/etd/gmu/oai:MARS:1920/10630","repository":{"repo_id":"gmu","name":"George Mason University","base_url":"https://mars.gmu.edu/server/oai/request"},"display":{"title":"Probabilistic Reasoning for Dynamic Spectrum Access","abstract":"Dynamic Spectrum Access (DSA) systems combine situational awareness development, decision assessment, and spectrum adaptation to provide greater spectrum access to wireless systems. While significant progress has been made in system dynamics and policy conformance reasoning, concern still exists regarding a DSA system’s ability to reliably determine the operating conditions for policy compliance in situ. Current methods in literature and recent FCC policies generally develop global operating constraints based on a priori modeling and analysis, which potentially reduces DSA system performance in all cases in order to mitigate risks that occur only in a few cases. Furthermore, the a priori determination of in situ operating constraints is inconsistent with the premise of a ``smart'' or ``cognitive'' wireless system.","abstract_html":"Dynamic Spectrum Access (DSA) systems combine situational awareness development, decision assessment, and spectrum adaptation to provide greater spectrum access to wireless systems. While significant progress has been made in system dynamics and policy conformance reasoning, concern still exists regarding a DSA system’s ability to reliably determine the operating conditions for policy compliance in situ. Current methods in literature and recent FCC policies generally develop global operating constraints based on a priori modeling and analysis, which potentially reduces DSA system performance in all cases in order to mitigate risks that occur only in a few cases. Furthermore, the a priori determination of in situ operating constraints is inconsistent with the premise of a ``smart'' or ``cognitive'' wireless system.","abstract_has_math":false,"creators":["Martin, Todd William"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-27T19:51:50Z","subjects":["Engineering","Systems science","Computer science","Bayesian Networks","Dynamic Spectrum Access","Probabilistic Reasoning","Wireless communications"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/10630"],"render_values":[{"text":"hdl:1920/10630","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2016"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering","Systems science","Computer science","Bayesian Networks","Dynamic Spectrum Access","Probabilistic Reasoning","Wireless communications"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:1920/10630"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.other","label":"Dc Description Other","values":["Dynamic Spectrum Access (DSA) systems combine situational awareness development, decision assessment, and spectrum adaptation to provide greater spectrum access to wireless systems. While significant progress has been made in system dynamics and policy conformance reasoning, concern still exists regarding a DSA system’s ability to reliably determine the operating conditions for policy compliance in situ. Current methods in literature and recent FCC policies generally develop global operating constraints based on a priori modeling and analysis, which potentially reduces DSA system performance in all cases in order to mitigate risks that occur only in a few cases. Furthermore, the a priori determination of in situ operating constraints is inconsistent with the premise of a ``smart'' or ``cognitive'' wireless system."]},{"key":"dc:title","label":"Title","values":["Probabilistic Reasoning for Dynamic Spectrum Access"]}]}],"canonical_facts":{"dc:date.issued":["2016"],"dc:description.other":["Dynamic Spectrum Access (DSA) systems combine situational awareness development, decision assessment, and spectrum adaptation to provide greater spectrum access to wireless systems. While significant progress has been made in system dynamics and policy conformance reasoning, concern still exists regarding a DSA system’s ability to reliably determine the operating conditions for policy compliance in situ. Current methods in literature and recent FCC policies generally develop global operating constraints based on a priori modeling and analysis, which potentially reduces DSA system performance in all cases in order to mitigate risks that occur only in a few cases. Furthermore, the a priori determination of in situ operating constraints is inconsistent with the premise of a ``smart'' or ``cognitive'' wireless system."],"dc:identifier":["hdl:1920/10630"],"dc:subject":["Engineering","Systems science","Computer science","Bayesian Networks","Dynamic Spectrum Access","Probabilistic Reasoning","Wireless communications"],"dc:title":["Probabilistic Reasoning for Dynamic Spectrum Access"],"dc:type":["Dissertation"]},"updated_at":"2026-07-27T19:51:50Z"}