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 :
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