NDLI: Capacity of wireless ad-hoc networks under ultra wide band with power constraint

Content Provider	IEEE Xplore Digital Library
Author	Honghai Zhang Hou, J.C.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA (Honghai Zhang; Hou, J.C.)
Abstract	In this paper, we study how the achievable throughput scales in a wireless network with randomly located nodes as the number of nodes increases, under a communication model where (i) each node has a maximum transmission power W/sub O/ and is capable of utilizing B Hz of bandwidth and (ii) each link can obtain a channel throughput according to the Shannon capacity. Under the limit case that B tends to infinity, we show that each node can obtain a throughput of /spl theta/(n/sup (/spl alpha/-1)/2/) where n is the density of the nodes and /spl alpha/ > 1 is the path loss exponent. Both the upper bound and lower bound are derived through percolation theory. In order to derive the capacity bounds, we have also derived an important result on random geometric graphs: if the distance between two points in a Poisson point process with density n is non-diminishing, the minimum power route requires a power rate at least /spl Omega/(n/sup (1-/spl alpha/)/2/). Our results show that the most promising approach to improving the capacity bounds in wireless ad hoc networks is to employ unlimited bandwidth resources, such as the ultra wide band (UWB).
Starting Page	455
Ending Page	465
File Size	2257275
Page Count	11
File Format	PDF
ISBN	0780389689
ISSN	0743166X
DOI	10.1109/INFCOM.2005.1497914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ad hoc networks Ultra wideband technology Bandwidth Mobile ad hoc networks Throughput Upper bound Wireless sensor networks Wireless networks FCC Intelligent sensors
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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