Paper Info
Title
Throughput and Transmission Capacity of Underwater Networks with Randomly Distributed Nodes
Abstract
In this paper, we derive fundamental performance limits of underwater (UW) networks via an analysis of the average behavior of random deployments. In particular, we consider an UW network that consists of a Poisson point process of transmitters, each with a receiver at a given distance. The link channel model accounts for path-loss, frequency-dependent absorption, and Rayleigh fading. We evaluate the probability of a successful transmission, defined as the probability that the signal-to-interference-and-noise ratio at the typical receiver is greater than a predetermined threshold, over different network and channel realizations. We then determine the network throughput density and the transmission capacity, defined as the maximum throughput density such that a constraint on the success probability is satisfied. The dependence of these metrics on the operating frequency and other system parameters is quantified through the proposed framework.
Year
DOI
Venue
2011
10.1109/GLOCOM.2011.6134011
Global Telecommunications Conference
Keywords
Field
DocType
Rayleigh channels,stochastic processes,transmitters,underwater acoustic communication,Poisson point process,Rayleigh fading,frequency dependent absorption,link channel model,network throughput,path loss,random deployment,randomly distributed nodes,transmission capacity,underwater networks
Topology,Telecommunications,Rayleigh fading,Underwater acoustic communication,Fading,Computer science,Signal-to-noise ratio,Communication channel,Stochastic process,Real-time computing,Poisson point process,Throughput
Conference
ISSN
ISBN
Citations 
1930-529X E-ISBN : 978-1-4244-9267-1
978-1-4244-9267-1
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Kostas Stamatiou126814.22
Paolo Casari233432.89
Michele Zorzi37079736.49