• DocumentCode
    3119336
  • Title

    Gaussian cognitive interference channels with state

  • Author

    Duan, Ruchen ; Liang, Yingbin

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    1822
  • Lastpage
    1826
  • Abstract
    A Gaussian cognitive interference channel model with state is investigated, in which transmitters 1 and 2 communicate with receivers 1 and 2 via an interference channel. The two transmitters jointly send one message to receivers 1 and 2, and transmitter 2 also sends a separate message to receiver 2. The channel outputs at the two receivers are corrupted by an independent and identically distributed (i.i.d.) Gaussian state sequences and Gaussian noise variables. The state sequence is noncausally known at transmitter 2 only. The Gaussian channels are partitioned into two classes based on channel parameters. For each class, inner and outer bounds on the capacity region are derived, and either the partial boundary of the capacity region or capacity region is characterized for all Gaussian channels. The cognitive interference channel with state known at both transmitter 2 and receiver 2 is further studied, and the capacity region is established for a class of such channels. It is also shown that this capacity can be achieved by certain Gaussian channels with state noncausally known only at transmitter 2.
  • Keywords
    Gaussian channels; channel capacity; cognitive radio; interference (signal); radio receivers; radio transmitters; Gaussian channels; Gaussian cognitive interference channel model; Gaussian noise variables; Gaussian state sequences; capacity region; receivers; transmitter; Decoding; Encoding; Interference channels; Receivers; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283594
  • Filename
    6283594