• DocumentCode
    3607622
  • Title

    Second-Order Asymptotics for the Gaussian MAC With Degraded Message Sets

  • Author

    Scarlett, Jonathan ; Tan, Vincent Y. F.

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • Volume
    61
  • Issue
    12
  • fYear
    2015
  • Firstpage
    6700
  • Lastpage
    6718
  • Abstract
    This paper studies the second-order asymptotics of the Gaussian multiple-access channel with degraded message sets. For a fixed average error probability ε ϵ (0,1) and an arbitrary point on the boundary of the capacity region, we characterize the speed of convergence of rate pairs that converge to that boundary point for codes that have asymptotic error probability no larger than ε. As a stepping stone to this local notion of the second-order asymptotics, we study a global notion, and establish relationships between the two. We provide a numerical example to illustrate how the angle of approach to a boundary point affects the second-order coding rate. This is the first conclusive characterization of the second-order asymptotics of a network information theory problem in which the capacity region is not a polygon.
  • Keywords
    Gaussian channels; channel capacity; channel coding; multi-access systems; Gaussian MAC; Gaussian multiple-access channel; arbitrary point; asymptotic error probability; boundary point; capacity region boundary; degraded message sets; fixed average error probability; network information theory problem; second-order asymptotics; second-order coding rate; Capacity planning; Channel coding; Channel models; Dispersion; Error probability; Degraded message sets; Dispersion; Finite blocklengths; Gaussian multiple-access channel; Second-order coding rates; Strong converse; Superposition coding; degraded message sets; dispersion; finite blocklengths; second-order coding rates; strong converse; superposition coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2487340
  • Filename
    7289421