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Classification of Business Scenarios for Spectrum Sensing

https://doi.org/10.2139/ssrn.1611674
0 signed · 8 inferred · view as graph

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.tele.2008.11.006openalex-extracted
Flexible spectrum and future business models for the mobile industry
inferredcites →https://doi.org/10.1109/crowncom.2008.4562457openalex-extracted
Spectrum Survey in Singapore: Occupancy Measurements and Analyses
inferredcites →https://doi.org/10.1109/dyspan.2007.81openalex-extracted
Spectrum Power Measurements in 2G and 3G Cellular Phone Bands During the 2006 Football World Cup in Germany
inferredcites →https://doi.org/10.1109/dyspan.2010.5457916openalex-extracted
Wireless Regulations and Dynamic Spectrum Access in Australia
inferredcites →https://doi.org/10.1145/1234388.1234389openalex-extracted
Chicago spectrum occupancy measurements & analysis and a long-term studies proposal

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.telpol.2012.03.001openalex-snapshot
Aligning technology, business and regulatory scenarios for cognitive radio
inferred← citeshttps://doi.org/10.4108/icst.crowncom.2012.248449openalex-snapshot
Impact of deployment costs and spectrum prices on the business viability of mobile broadband using TV white space
inferred← citeshttps://doi.org/10.4108/icst.crowncom.2012.248450openalex-snapshot
Business opportunities using white space spectrum and cognitive radio for mobile broadband services
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