Trends and Precedents Favoring a Regulatory Embrace of Smart Radio Technologies

Bernthal, J.B.; Brown, Timothy X.; Hatfield, Dale N.; Sicker, Douglas; Tenhula, Peter A.; Weiser, Philip J.

doi:10.1109/dyspan.2007.87

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Future Department of Defense (DoD) communication technologies will depend heavily on the principles inherent in cognitive radio (e.g., dynamic spectrum access (DSA) in the Joint Tactical Radio System (JTRS) [9]) due to the growing spectrum shortage and the need for DoD operations to be less invasive when working in a counterinsurgency or multi-national environment [9][10][11][12]. With such communication advancements rapidly developing, it is critical for the DoD to remain aware of the positioning techniques being utilized within these networks.…”

Section: XVImentioning

confidence: 99%

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Source localization in a cognitive radio environment consisting of frequency and spatial mobility

Adams

Tummala

McEachen

2012

2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington DC 20503. AGENCY USE ONLY (Leave blank)2. REPORT DATE December 2011 REPORT TYPE AND DATES COVERED 12b. DISTRIBUTION CODE A 13. ABSTRACT (maximum 200 words)Cognitive radio presents a unique challenge to source localization in that the radio has the ability to adapt to the environment, thus rendering current localization techniques ineffective due to a shifting combination of spatial, frequency, and temporal parameters. For any localization scheme to be effective, it must be able to adapt over time as a cognitive radio adapts to its surroundings. In this thesis an extended semi range-based localization scheme is proposed to accomplish this task. The proposed scheme estimates the position of a cognitive radio using the collaborative spectrum sensing results of a wireless radio frequency sensor network in a cognitive radio environment. The central idea behind the proposed scheme is to exploit the relationships between spatial, frequency, and temporal parameters of the environment to solve for the position of the cognitive radio. The proposed scheme is modeled in the MATLAB programming language, and its efficacy is demonstrated through simulation. It is shown that over time the proposed scheme is capable of estimating the frequency band of operation and the location of a cognitive radio, and is thus capable of accounting for both frequency and spatial mobility inherent in the cognitive radio environment. NUMBER OF PAGES 104 SUBJECT TERMS ABSTRACTCognitive radio presents a unique challenge to source localization in that the radio has the ability to adapt to the environment, thus rendering current localization techniques ineffective due to a shifting combination of spatial, frequency, and temporal parameters.For any localization scheme to be effective, it must be able to adapt over time as a cognitive radio adapts to its surroundings. In this thesis an extended semi range-based localization scheme is proposed to accomplish this task. The proposed scheme estimates the position of a cognitive radio using the collaborative spectrum sensing results of a wireless radio frequency sensor network in a cognitive radio environment. The central idea behind the proposed scheme is to exploit the relationships between spatial, frequency, and temporal parameters of the environment to solve for the position of the cognitive radio. The proposed scheme is modele...

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Section: XVImentioning

confidence: 99%

“…Therefore, the decision maker breaks down the collected spectral scanning decisions on a per channel basis to perform data fusion. Thus, for a single channel k, (12) is reduced to a two-dimensional matrix [17] ( ) ( )…”

Section: Decision Data Fusionmentioning

confidence: 99%

Source localization in a cognitive radio environment consisting of frequency and spatial mobility

Adams

Tummala

McEachen

2012

2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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“…Finally, it gives feedback to the current set of spectrum governance rules. Also it can be used to assure the compliance of DSA radio equipment with the regulatory rules [2], [3]. However, not much literature can be found how to design such a monitoring network.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Spectrum Occupancy in Amsterdam Using Mobile Monitoring Vehicles

Schiphorst

Slump

2010

2010 IEEE 71st Vehicular Technology Conference

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Dynamic Spectrum Access (DSA) is an exciting new technology, which introduced a paradigm shift in spectrum access. As a result it also changes the role of the regulator. On one hand the scarce radio spectrum should be used in an optimal way, so that the society is best served. On the other hand interference between users and networks should be avoided. For that reason rules have to be defined for spectrum use, which are not only determined by technical parameters, also economical, legal, political and social constraints play an important role. This topic is called spectrum governance. For evaluation purposes a monitoring network is necessary, which is also supported by several papers, that argue the need for a monitoring network to assure compliance of (DSA) radio equipment with regulatory rules. Traditional networks of fixed monitoring sites are not qualified anymore, as modern communication use high frequencies, above the 800 MHz, and communicate mainly locally. In this paper, we propose to extent this monitoring network by a fleet of mobile monitoring vehicles.

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“…There exists already quite some literature that describes how to allocate [2], [3], [4], [5], [6], [7], manage [8], [9], [10], [11], standardize [12], [13], [14], [15], and use the spectrum as secondary user [16], [17], [18], [19] (e. g. Spectrum User Rights (SUR), Dynamic Spectrum Access (DSA), Dynamic Spectrum Management (DSM)) in an efficient way. Moreover, how it affects current regulation [20], [21], [22], [23], [24], [25], [26], [27] that argue the need for a monitoring network to assure compliance of (DSA) radio equipment with regulatory rules [20], [23]. On the other hand, not much literature can be found how to design such a monitoring network.…”

Section: Introductionmentioning

confidence: 99%

A Monitoring Network for Spectrum Governance

Schiphorst¹,

Slump²

2010

Frequenz

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-Dynamic Spectrum Access (DSA) is an exciting new technology, which has introduced a paradigm shift in spectrum access. As a result it also changes the role of the regulator. On one hand the scarce radio spectrum should be used in an optimal way, so that society is best served. On the other hand interference between users and between networks should be avoided. For that reason rules have to be defined for spectrum use. This topic is called spectrum governance. For evaluation and to check whether devices obey the rules, a monitoring system is needed. In this paper, we propose to use a fleet of mobile monitoring vehicles for this purpose.

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Trends and Precedents Favoring a Regulatory Embrace of Smart Radio Technologies

Cited by 8 publications

References 4 publications

Source localization in a cognitive radio environment consisting of frequency and spatial mobility

Source localization in a cognitive radio environment consisting of frequency and spatial mobility

Evaluation of Spectrum Occupancy in Amsterdam Using Mobile Monitoring Vehicles

A Monitoring Network for Spectrum Governance

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