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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ning Cai Chan, T. Grant, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute for Telecommunications Research, University of South Australia (Chan, T.; Grant, A.) || State Key Lab. of ISN, Xidian University, Xian, Shaanxi, China (Ning Cai) |
| Abstract | The arbitrarily varying channel can be modeled as communication in the presence of a jammer. In this paper we propose a new model: a jammer who knows the channel input, and where the transmitter and receiver share a secret random key. Shared randomness differentiates this scenario from the case where the jammer knows the message. For sufficiently large key rate, we determine the capacity of this channel (which may be strictly smaller than the case where the jammer knows only the message). We also provide an upper bound on the minimum key rate required to achieve capacity. We prove that additionally revealing the message to the jammer does not change the capacity, provided the key rate is sufficiently large. This new capacity result differs from existing results for the AVC, and in fact coincides with a well-known upper bound on the deterministic coding capacity of the AVC with maximum error. Without secret keys, our problem degenerates to deterministic coding for the AVC with maximum probability of error, a well-known hard problem. Our results demonstrate that knowledge of the channel input is better than knowledge of the message for the jammer. |
| Starting Page | 295 |
| Ending Page | 299 |
| File Size | 134143 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424478903 |
| e-ISBN | 9781424478927 |
| e-ISBN | 9781424478910 |
| DOI | 10.1109/ISIT.2010.5513324 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Jamming Automatic voltage control Upper bound Transmitters Channel capacity Error probability Probability distribution Decoding Codes Combinatorial mathematics |
| Content Type | Text |
| Resource Type | Article |
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