Title
Reducing the probability of network overload by spectrum trading
Abstract
In this paper dynamic spectrum trading is addressed, where time-frequency resources are traded between network operators on a short-term basis to meet current demands. Specifically, we derive the probability of system overload for the entire network as well as for a single operator. Numerical results demonstrate that by dynamically adjusting the resource assignment to operators on a short-term basis, per-operator and system overload probabilities can be significantly reduced at given offered traffic.
Year
DOI
Venue
2009
10.1109/CCECE.2009.5090155
St. John's, NL
Keywords
Field
DocType
probability,radio networks,network overload,probability,spectrum trading,time-frequency resources
Resource management,Mathematical optimization,Computer science,Load modeling,Resource assignment,Computer network,Control engineering,Spectrum trading,Operator (computer programming),Dynamic priority scheduling,Probability density function,Cost accounting
Conference
ISSN
ISBN
Citations 
0840-7789 E-ISBN : 978-1-4244-3508-1
978-1-4244-3508-1
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Dennis Burgkhardt1274.39
Ivan Cosovic213716.92
Gunther Auer3113676.60
Friedrich K. Jondral420928.53