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Building a spectrum map for future cognitive radio technology
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International Conference on Mobile Computing and Networking archive
Proceedings of the 2009 ACM workshop on Cognitive radio networks table of contents
Beijing, China
SESSION: Spectrum measurements and cooperative sensing table of contents
Pages: 1-6  
Year of Publication: 2009
ISBN:978-1-60558-738-7
Authors
Yun Li  The University of Tokyo, Tokyo, Japan
Trung Tran Quang  The University of Tokyo, Tokyo, Japan
Yoshihiro Kawahara  The University of Tokyo, Tokyo, Japan
Tohru Asami  The University of Tokyo, Tokyo, Japan
Masanori Kusunoki  Microsoft Co., Ltd.(Microsoft Japan), Tokyo, Japan
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Monitoring the spectrum utilization and capturing the available spectrum bands is the groundwork for the Cognitive Radio (CR) technologies. Because the spectrum management has been a politically as well as a technically sensitive issue, it is usually very hard to access the open data of real spectrum usage. In this sense, we believe grass-roots data collections are important. For these collections to be worthy of spectrum investigations, we need to reduce several noises inserted during monitoring because of the diversity of measurement environments. In addition to this, data visualization must be provided end users with intuitive understanding about the results of the analysis. This paper presents the basic requirements for the data format of grass-roots spectrum data collections and the visualization process using Virtual Earth platform to be accessed from the public. We then show a prototype system named SpectrumMap to aim at visualizing location-based or time-based information of spectrum resources and promoting research on the future CR solutions with user-friendly interfaces. Integrating spectrum analyzer, GPS (Global Positioning System) and the Virtual Earth platform, a mashup of spectrum utilization in two-dimensional (2D) and three-dimensional (3D) views is demonstrated for mobile as well as static environments.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Microsoft Virtual Earth. Available: http://www.microsoft.com/virtualearth/
 
2
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3
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4
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5
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7
 
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R. Chiang, G. Rowe, and K. Sowerby, "A quantitative analysis of spectral occupancy measurements for cognitive radio," In Proceedings of the 65th IEEE Vehicular Technology Conference 2007 (VTC Spring 2007), pp. 3016--3020, April 2007.
 
9
V. Blaschke, H. Jaekel, T. Renk, C. Kloeck, and F. K. Jondral, "Occupation measurements supporting dynamic spectrum allocation for cognitive radio design," In Proceedings of CROWNCOM, Orlando, USA, August 2007.
 
10
Shared Spectrum Company, "Recent measurements." Available: http://www.sharedspectrum.com/measurements/recent.htm
 
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"Office of Communications." Available: http://www.ofcom.org.uk/
 
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D. A. Roberson, "Structural Support for Cognitive Radio System Deployment," Cognitive Radio Oriented Wireless Networks and Communications, pp. 401--407, 2007.
 
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Collaborative Colleagues:
Yun Li: colleagues
Trung Tran Quang: colleagues
Yoshihiro Kawahara: colleagues
Tohru Asami: colleagues
Masanori Kusunoki: colleagues