DocumentCode
1844822
Title
Aggregate interference from WLAN in the TV white space by using terrain-based channel model
Author
Koufos, Konstantinos ; Ruttik, Kalle ; Jäntti, Riku
Author_Institution
Commun. & Networking Dept., Aalto Univ., Espoo, Finland
fYear
2012
fDate
18-20 June 2012
Firstpage
185
Lastpage
189
Abstract
In this paper we model the TV white space usage by a WLAN type secondary network. We derive a model that incorporates spatially non-uniform distributed user demand and terrain-based radio channel model. We follow the approach proposed by Electronic Communications Committee (ECC) and describe the interference from the pixels in the secondary area to the pixels in the TV coverage area. The demand is described by the household density and the radio channel is evaluated as attenuation between the pixels. We also study how well a Poisson point process (PPP) based interference model describes the actual interference. We modify the PPP model so that it can describe non-uniform user distribution and terrain-based channel model. The proposed model describes the actual interference as a sum from multiple areas. We study how the size of the selected areas impacts the approximation of the actual interference distribution.
Keywords
radiofrequency interference; stochastic processes; telecommunication channels; television interference; wireless LAN; ECC; Electronic Communications Committee; PPP based interference model; Poisson point process; TV coverage area; TV white space usage; WLAN type secondary network; actual interference; aggregate interference; household density; interference distribution; non-uniform distributed user demand; non-uniform user distribution; radio channel; terrain-based channel model; terrain-based radio channel model; Aggregates; Attenuation; Computational modeling; Interference; TV; Transmitters; Wireless LAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012 7th International ICST Conference on
Conference_Location
Stockholm
ISSN
2166-5370
Print_ISBN
978-1-4673-2976-7
Electronic_ISBN
2166-5370
Type
conf
Filename
6333737
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