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A Reasoning System Architecture for Spectrum Decision-Making.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Reasoning System Architecture for Spectrum Decision-Making./
作者:	Das, Udayan D.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	185 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
Contained By:	Dissertations Abstracts International83-04B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28649024
ISBN:	9798544206569

A Reasoning System Architecture for Spectrum Decision-Making.
Das, Udayan D.

A Reasoning System Architecture for Spectrum Decision-Making. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 185 p.

Source: Dissertations Abstracts International, Volume: 83-04, Section: B.

Thesis (Ph.D.)--Illinois Institute of Technology, 2021.

This item must not be sold to any third party vendors.

Spectrum is a public resource; yet understanding how spectrum is allocated and used is a daunting task. Usable spectrum is already fully allocated, but the demand for spectrum continues to grow and there are opportunities for utilizing spectrum in more efficient ways. Understanding how spectrum is allocated and its utilization in time and space is necessary to take advantage of these emerging opportunities. A combination of fragmented information from varied information sources, a complex regulatory environment, variability of regulations and physics by band, real-time spectrum usage dynamics, and a status quo with knowledge concentration among a few, makes understanding spectrum a considerable challenge for all stakeholders including researchers, students, policymakers, and new telecom operators. After considerable study of spectrum, its allocation, regulation, and usage, we have developed a system architecture that is a significant step towards easing the burden of understanding spectrum information. Our system architecture connects information from disparate sources and leads to a richer understanding of spectrum usage, how it is governed, and its potential for future use. Classes of information are modeled as knowledge graphs, and the interplay of knowledge graphs produces a richer set of insight and can lead to more informed decision-making. Further, we show mechanisms for connecting spectrum information with real-time observations to get a comprehensive view of spectrum usage dynamics. While focused on the United States, this work should be applicable to other spectrum contexts worldwide. This work, of considerable technical value, also has democratic value in making complex information accessible and allowing the public to determine whether spectrum, a natural resource, is being used for the public good.

ISBN: 9798544206569Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Information model

A Reasoning System Architecture for Spectrum Decision-Making.
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100 1 $a Das, Udayan D. $3 3685552
245 1 0 $a A Reasoning System Architecture for Spectrum Decision-Making.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 185 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
500 $a Advisor: Hood, Cynthia S.
502 $a Thesis (Ph.D.)--Illinois Institute of Technology, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Spectrum is a public resource; yet understanding how spectrum is allocated and used is a daunting task. Usable spectrum is already fully allocated, but the demand for spectrum continues to grow and there are opportunities for utilizing spectrum in more efficient ways. Understanding how spectrum is allocated and its utilization in time and space is necessary to take advantage of these emerging opportunities. A combination of fragmented information from varied information sources, a complex regulatory environment, variability of regulations and physics by band, real-time spectrum usage dynamics, and a status quo with knowledge concentration among a few, makes understanding spectrum a considerable challenge for all stakeholders including researchers, students, policymakers, and new telecom operators. After considerable study of spectrum, its allocation, regulation, and usage, we have developed a system architecture that is a significant step towards easing the burden of understanding spectrum information. Our system architecture connects information from disparate sources and leads to a richer understanding of spectrum usage, how it is governed, and its potential for future use. Classes of information are modeled as knowledge graphs, and the interplay of knowledge graphs produces a richer set of insight and can lead to more informed decision-making. Further, we show mechanisms for connecting spectrum information with real-time observations to get a comprehensive view of spectrum usage dynamics. While focused on the United States, this work should be applicable to other spectrum contexts worldwide. This work, of considerable technical value, also has democratic value in making complex information accessible and allowing the public to determine whether spectrum, a natural resource, is being used for the public good.
590 $a School code: 0091.
650 4 $a Computer science. $3 523869
650 4 $a Internet of Things. $3 3538511
650 4 $a Spectrum allocation. $3 3562481
650 4 $a Spectrum analysis. $3 520440
650 4 $a Artificial intelligence. $3 516317
650 4 $a Information sources. $3 3560861
650 4 $a Decision making. $3 517204
653 $a Information model
653 $a Knowledge graphs
653 $a Spectrum
653 $a Spectrum measurement
653 $a Spectrum policy
653 $a Wireless
690 $a 0984
690 $a 0800
710 2 $a Illinois Institute of Technology. $b Computer Science. $3 2094784
773 0 $t Dissertations Abstracts International $g 83-04B.
790 $a 0091
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28649024