DocumentCode
3059112
Title
Information-theoretic capacity of clustered random networks
Author
Garetto, Michele ; Nordio, Alessandro ; Chiasserini, Carla F. ; Leonardi, Emilio
Author_Institution
Univ. degli Studi di Torino, Torino, Italy
fYear
2010
fDate
13-18 June 2010
Firstpage
1698
Lastpage
1702
Abstract
We analyze the capacity scaling laws of clustered ad hoc networks in which nodes are distributed according to a doubly stochastic shot-noise Cox process. We identify five different operational regimes, and for each regime we devise a communication strategy that allows to achieve a throughput featuring the same scaling exponent as the maximum theoretical capacity.
Keywords
information theory; capacity scaling law; clustered ad hoc networks; clustered random networks; communication strategy; doubly stochastic shot-noise Cox process; information-theoretic capacity; maximum theoretical capacity; Ad hoc networks; Information analysis; Integral equations; Kernel; Network topology; Routing; Shape; Stochastic processes; Tail; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-7890-3
Electronic_ISBN
978-1-4244-7891-0
Type
conf
DOI
10.1109/ISIT.2010.5513236
Filename
5513236
Link To Document