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SUMMARY:Combinatorial Channel Signature Modulation for Wireless ad-hoc Net
 works - Dino Sejdinovic \, Postdoctoral Fellow\, Gatsby Computational Neur
 oscience Unit\, University College London
DTSTART:20120208T141500Z
DTEND:20120208T150000Z
UID:TALK35376@talks.cam.ac.uk
CONTACT:Rachel Fogg
DESCRIPTION:A modulation and multiplexing method which facilitates highly 
 efficient and simultaneous communication between multiple terminals in wir
 eless ad-hoc networks is presented. This method is termed Combinatorial Ch
 annel Signature Modulation (CCSM)\, and has its roots in sparse recovery a
 nd compressive sampling techniques\, utilizing an efficient greedy algorit
 hm for solving the underlying sparse recovery problem. CCSM is inherently 
 robust to situations where communicating nodes operate in highly time disp
 ersive environments. In addition\, the scheme exhibits a minimal MAC layer
  overhead\, since all users are allowed to transmit and receive at the sam
 e time/frequency (full simultaneous duplex). It is demonstrated that CCSM 
 at least doubles the throughput when compared to the state-of-the art meth
 ods based on collision avoidance.\n\n\nDino Sejdinovic has been a postdoct
 oral fellow in machine learning at the Gatsby Computational Neuroscience U
 nit\, University College London since 2011. Between 2009 and 2011\, he was
  a Brunel postdoctoral fellow at the Statistics Group of the Department of
  Mathematics\, University of Bristol. He received a PhD in Electrical and 
 Electronic Engineering at the Centre for Communications Research\, Univers
 ity of Bristol in 2009\, in a project sponsored by Toshiba Research Europe
  Ltd\, and a Dipl.Math.-Inf. degree in mathematics and theoretical compute
 r science from the University of Sarajevo\, Bosnia and Herzegovina in 2006
 . \n\n
LOCATION:LR4\, Engineering\, Department of
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