@comment{ generated by <http://infoscience.epfl.ch/> }

@Article{LCA-ARTICLE-2007-017,
   abstract    = {An achievable bit rate per source-destination pair in a
                 wireless network of n randomly located nodes is
                 determined adopting the scaling limit approach of
                 statistical physics. It is shown that randomly scattered
                 nodes can achieve, with high probability, the same
                 1/\sqrt{n} transmission rate of arbitrarily located
                 nodes. This contrasts with previous results suggesting
                 that a 1/\sqrt{nlogn} reduced rate is the price to pay
                 for the randomness due to the random location of the
                 nodes. The network operation strategy to achieve the
                 result corresponds to the transition region between order
                 and disorder of an underlying percolation model. If nodes
                 are allowed to transmit over large distances, then paths
                 of connected nodes that cross the entire network area can
                 be easily found, but these generate excessive
                 interference. If nodes transmit over short distances,
                 then such crossing paths do not exist. Percolation theory
                 ensures that crossing paths form in the transition region
                 between these two extreme scenarios. Nodes along these
                 paths are used as a backbone, relaying data for other
                 nodes, and can transport the total amount of information
                 generated by all the sources. A lower bound on the
                 achievable bit rate is then obtained by performing
                 pairwise coding and decoding at each hop along the paths,
                 and using a time division multiple access scheme.},
   affiliation = {EPFL},
   author      = {Franceschetti, Massimo and Dousse, Olivier and Tse,
                 David N C and Thiran, Patrick},
   details     = {http://infoscience.epfl.ch/record/112054},
   documenturl = {http://infoscience.epfl.ch/record/112054/files/FDTT07.pdf},
   journal     = {{IEEE} {T}ransactions on {I}nformation {T}heory},
   keywords    = {Wireless networks; ad-hoc networks; capacity;
                 throughput; scaling laws ; percolation theory; NCCR-MICS;
                 NCCR-MICS/CL1},
   number      = {3},
   oai-id      = {oai:infoscience.epfl.ch:112054},
   oai-set     = {driver},
   pages       = {1009--1018},
   review      = {REVIEWED},
   status      = {PUBLISHED},
   title       = {Closing the gap in the capacity of random wireless
                 networks via percolation theory},
   unit        = {LCA LCA3},
   volume      = {53},
   year        = 2007
}