Policy by the Numbers

Data for policymaking from Google and friends.

Modeling a Market for White Space

Thursday, November 29, 2012
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Labels: Data , Data Science , Data Visualization , English , Policy by the Numbers , Telecom

2 comments :

Richard Bennett said...

I think you've got this bacwkard: "For example, San Franciscans will need more per-channel power than Montanans because they have fewer available white space channels."

You get more capacity by limiting radio power and harnessing the capacity gains that come from spatial re-use.

November 29, 2012 at 6:08 PM
Anant Sahai said...

Excellent comment @RichardBennett. Indeed, the per-device power in high-pop-density area will be lower because of enhanced spectral reuse if the devices can talk over shorter ranges. However, the total *aggregate* transmit power in a particular area can be allowed to be higher. (Some devices might want longer ranges, higher spectral efficiency, building penetration, etc...) Where all the devices have to share fewer frequencies, they would appreciate the higher total power to do that.

In the interests of simplicity in our exposition, we didn't call out this difference between per-device power and total power density in an area in the blog post itself. But it is aggregate power in a locality that must be kept under control to prevent loss of service to primaries far away. And this is what a Cloud-oriented whitespace architecture allows because it knows how many devices are registering in a given area...

November 29, 2012 at 11:19 PM

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