Spatial capacity

Spatial capacity is an indicator of "data intensity" in a transmission medium. It is usually used in conjunction with wireless transport mechanisms. This is analogous to the way that lumens per square meter determine illumination intensity.[1]

Spatial capacity focuses not only on bit rates for data transfer but on bit rates available in confined spaces defined by short transmission ranges. It is measured in bits per second per square meter.

Among those leading research in spatial capacity are Jan Rabaey at the University of California, Berkeley. Some have suggested the term "spatial efficiency" as more descriptive. Marc Weiser, former chief technologist of Xerox PARC, was another contributor to the field who commented on the importance of spatial capacity.[2]

The System spectral efficiency is the spatial capacity divided by the bandwidth in hertz of the available frequency band.

Relative spatial capacities

Engineers at Intel and elsewhere have reported the relative spatial capacities of various wireless technologies as follows:

  • IEEE 802.11b 1,000 (bit/s)/m²
  • Bluetooth 30,000 (bit/s)/m²
  • IEEE 802.11a 83,000 (bit/s)/m²
  • Ultra-wideband 1,000,000 (bit/s)/m²
  • IEEE 802.11g N/A
gollark: Although it would be extremely slow.
gollark: Anyway, in theory I could clone it *for* you, and send you a tar or something which could be downloaded resumably from osmarks.net
gollark: I only get 12GB of data per month due to ridiculous mobile network rationing, and it's slower than my home network anyway.
gollark: That doesn't contain full clone data, IIRC, and is smaller because of that.
gollark: Perhaps it would have been better to download the repo ZIP from GitHub or something.

See also

  • System spectral efficiency

References

  1. "Ultra-Wideband_Technology_for_Short-_or_Medium-Range_Wireless_Communications" (PDF). intel.com. Retrieved 2008-02-27.
  2. Wesier, Marc. "Nomadic Issues in Ubiquitous Computing". ubiq.com. Retrieved 2008-02-27.
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