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SUMMARY:Second-order asymptotics in network information theory - Jonathan 
 Scarlett
DTSTART:20131120T143000Z
DTEND:20131120T153000Z
UID:TALK48725@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Shannon's channel capacity is a first-order asymptotic quantit
 y equal to the supremum of rates at which a decaying error probability can
  be achieved as the block length increases. Second-order coding rates prov
 ide a more refined indication of the system performance by quantifying the
  convergence speed of the coding rate to capacity for a given target error
  probability. This talk will review well-known results on the second-order
  asymptotics for point-to-point communication\, and then overview some rec
 ent developments in network information theory problems. Achievability res
 ults will be provided for the multiple-access channel (MAC) and Gel'fand-P
 insker channel\, and conclusive second-order asymptotic results (i.e. matc
 hing achievability and converse) will be provided for two Gaussian setting
 s: the MAC with degraded message sets\, and dirty paper coding.
LOCATION:Tim Nickels Room\, CUED
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