Title
Interdependence of transmit power and cell bandwidth in cellular mobile radio networks
Abstract
The assignment of resources to the cells of a cellular mobile radio network is usually done by assigning certain parts of the total bandwidth to the cells. With the use of adaptive transmission, power can be considered as a resource and taking power into account in the assignment of resources to cells offers additional flexibility, especially in achieving efficient assignments and in adapting the network to varying capacity demands. Considering power and bandwidth jointly requires the knowledge of their interdependence since they are exchangeable. Concerning a single link, this interdependence has been stated by Shannon and is well known. For the assignment of resources to cells, however, this interdependence has to be known for the whole cell. In this paper, an analytic approach to modelling the interdependence of transmit power and cell bandwidth considering outage probability is presented. The GammaB-Characteristic, where Gamma is a term considering the power of signal, noise and interference, is introduced as a representation of this interdependence and a method for the on-line measurement of GammaB-Characteristics for practical application is presented. The applicability of the proposed approach is validated using simulations and a broad spectrum of applications for operation and optimisation of mobile radio networks based on GammaB-Characteristics is proposed.
Year
DOI
Venue
2008
10.1109/PIMRC.2008.4699669
Cannes
Keywords
Field
DocType
cellular radio,mobile radio,Shannon theory,The GammaB-characteristic,cell bandwidth,cellular mobile radio networks,on-line measurement,outage probability,transmit power
Information theory,Mobile radio,Transmitter power output,Cellular radio,Computer science,Signal-to-noise ratio,Computer network,Bandwidth (signal processing),Interference (wave propagation),Outage probability
Conference
ISBN
Citations 
PageRank 
978-1-4244-2644-7
1
0.44
References 
Authors
6
3
Name
Order
Citations
PageRank
Philipp P. Hasselbach191.91
Anja Klein217389.48
Matthias Siebert310.44