DocumentCode
2368829
Title
Modeling urban peer-to-peer channel characteristics for the 700 MHz and 4.9 GHz public safety bands
Author
Gentile, Claudio ; Matolak, David W. ; Remley, Kate A. ; Holloway, Christopher L. ; Qiong Wu ; Qian Zhang
Author_Institution
Dept. of Commerce, Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
fYear
2012
fDate
10-15 June 2012
Firstpage
4557
Lastpage
4562
Abstract
We report on models developed for peer-to-peer (ground-based) wireless channels for an urban environment in the 700 MHz and 4.9 GHz bands, both allocated for public safety and “emergency responder” applications. Results are based upon measurements taken in downtown Denver, CO for link distances up to approximately 100 m. Heretofore, measurement-based models for an urban environment in these bands and for low antenna heights have not been developed. Our measurements employed a vector network analyzer, from which log-distance models for path loss and dispersive channel models have been extracted. Our dispersive channel models employ a statistical algorithm for the number of multipath components, previously used only in indoor settings. The channel models should be useful for public safety communication system designers.
Keywords
antennas; bandwidth allocation; channel allocation; dispersive channels; emergency services; indoor communication; multipath channels; network analysers; peer-to-peer computing; statistical analysis; antenna; bandwidth 4.9 GHz; bandwidth 700 MHz; bandwidth allocation; dispersive channel model; emergency responder; indoor environment; log distance model; multipath channel; path loss; peer-to-peer wireless channel; public safety band; public safety communication system; statistical algorithm; urban environment; vector network analyzer; Antenna measurements; Delay; Noise; Propagation losses; Safety; Standards; Transfer functions; propagation; wireless channel;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6363957
Filename
6363957
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