• DocumentCode
    2018613
  • Title

    Capacity Theorems for Relay Channels with Confidential Messages

  • Author

    Oohama, Y.

  • Author_Institution
    Univ. of Tokushima, Tokushima
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    926
  • Lastpage
    930
  • Abstract
    We consider a relay channel where a relay helps the transmission of messages from one sender to one receiver. The relay is considered not only as a sender that helps the message transmission but as a wire-tapper who can obtain some knowledge about the transmitted messages. In this paper we study the coding problem of the relay channel under the situation that some of transmitted messages are confidential to the relay. A security of such confidential messages is measured by the conditional entropy. The rate region is defined by the set of transmission rates for which messages are reliably transmitted and the security of confidential messages is larger than a prescribed level. In this paper we give two definition of the rate region. We first define the rate region in the case of deterministic encoder and call it the deterministic rate region. Next, we define the rate region in the case of stochastic encoder and call it the stochastic rate region. We derive explicit inner and outer bounds for the above two rate regions and present a class of relay channels where two bounds match. From the derived results, we can see that stochastic encoder can enlarge the rate region. We also evaluate the deterministic rate region of the Gaussian relay channel with confidential messages.
  • Keywords
    channel capacity; channel coding; stochastic processes; conditional entropy; confidential message security; deterministic encoder; relay channel coding problem; stochastic encoder; Codes; Communication system security; Communication systems; Entropy; Frame relay; Information science; Information security; Information theory; Public key cryptography; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557113
  • Filename
    4557113