Abstract
The cognitive interference channel with confidential messages is studied. Similarly to the classical two-user interference channel, the cognitive interference channel consists of two transmitters whose signals interfere at the two receivers. It is assumed that there is a common message source (message known to both transmitters, and an additional independent message source (message 2) known only to the cognitive transmitter (transmitter 2). The cognitive receiver (receiver needs to decode both messages, while the non-cognitive receiver (receiver 1) should decode only the common message. Furthermore, message 2 is assumed to be a confidential message which needs to be kept as secret as possible from receiver 1, which is viewed as an eavesdropper with regard to message 2. The level of secrecy is measured by the equivocation rate. A single-letter expression for the capacity-equivocation region of the discrete memoryless cognitive interference channel is established and is further explicitly derived for the Gaussian case. Moreover, particularizing the capacity-equivocation region to the case without a secrecy constraint, establishes a new capacity theorem for a class of interference channels, by providing a converse theorem.
Original language | English (US) |
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Title of host publication | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 |
Publisher | University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering |
Pages | 1-6 |
Number of pages | 6 |
Volume | 1 |
ISBN (Print) | 9781605600864 |
State | Published - 2007 |
Externally published | Yes |
Event | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 - Monticello, United States Duration: Sep 26 2007 → Sep 28 2007 |
Other
Other | 45th Annual Allerton Conference on Communication, Control, and Computing 2007 |
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Country | United States |
City | Monticello |
Period | 9/26/07 → 9/28/07 |
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications