DocumentCode :
1607603
Title :
Computing Radio Paths in an Urban Environment
Author :
Ben-Moshe, Boaz ; Shvalb, Nir ; Shani, Moti ; Carmi, Paz ; Shifman, Elhanan
Author_Institution :
Ariel Univ. Center of Samaria, Ariel, Israel
fYear :
2010
Firstpage :
1
Lastpage :
5
Abstract :
This work presents a new radio paths computation frame-work especially designed for complex indoor RF field prediction. We propose a new algorithm utilizing a geometric visibility graph of a building to traverse all possible bounded radio paths. These paths are needed to compute the signal strength as received at given receiver location. We have implemented the suggested algorithm and performed a set of experiments testing the radio paths over complex buildings. The main conclusion is that the new algorithm is both (i) Accurate: predicts the signal strength within complex buildings, (ii) Runtime efficient: can compute all relevant radio paths even on relatively complex structures comprised of thousands of walls in a matter of seconds.
Keywords :
MIMO communication; indoor radio; radiowave propagation; MIMO technology; geometric visibility graph; indoor RF field prediction; radio path testing; receiver location; signal strength; urban environment; wireless communication; Buildings; Computational modeling; Peer to peer computing; Predictive models; RF signals; Radio frequency; Radio transmitters; Receivers; Runtime; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-5175-3
Electronic_ISBN :
978-1-4244-5176-0
Type :
conf
DOI :
10.1109/CCNC.2010.5421719
Filename :
5421719
Link To Document :
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