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