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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Farsani, R.K. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Cognitive Sci., Inst. for Res. in Fundamental Sci. (IPM), Tehran, Iran (Farsani, R.K.) |
| Abstract | The two-user wireless ergodic fading Broadcast Channel (BC) with partial Channel State Information at the Transmitter (CSIT) is considered. The CSIT is given by an arbitrary deterministic function of the channel state. This characteristic yields a full control over how much state information is available, from perfect to no information. A novel approach is developed to adapt and explicitly evaluate the well-known UV-outer bound for the Gaussian fading channel using the entropy power inequality. Our approach indeed sheds light on the role of broadcast auxiliaries in the fading channel. It is shown that the derived outer bound is optimal for the channel with perfect CSIT. Our bounds are also directly applicable to the case without CSIT which has been recently considered in several papers. Next, the approach is developed to analyze for the fading BC with secrecy. In the case of perfect CSIT, a full characterization of the secrecy capacity region is derived for the channel with common and confidential messages. This result completes a gap in a previous work by Ekrem and Ulukus. For the channel without common message, the secrecy capacity region is also derived when the transmitter has access only to degradedness ordering of the channel. |
| Starting Page | 927 |
| Ending Page | 931 |
| File Size | 204667 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479904464 |
| ISSN | 21578117 |
| DOI | 10.1109/ISIT.2013.6620362 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-07 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fading Receivers Transmitters Wireless communication Information theory Random variables Resource management |
| Content Type | Text |
| Resource Type | Article |
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