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On the Secrecy Capacity of Fading Channels

Gopala, Praveen Kumar, Lai, Lifeng, El Gamal, Hesham·2008·IEEE Transactions on Information Theory

Abstract

We consider the secure transmission of information over an ergodic fading channel in the presence of an eavesdropper. Our eavesdropper can be viewed as the wireless counterpart of Wyner's wiretapper. The secrecy capacity of such a system is characterized under the assumption of asymptotically long coherence intervals. We first consider the full channel state information (CSI) case, where the transmitter has access to the channel gains of the legitimate receiver and the eavesdropper. The secrecy capacity under this full CSI assumption serves as an upper bound for the secrecy capacity when only the CSI of the legitimate receiver is known at the transmitter, which is characterized next. In each scenario, the perfect secrecy capacity is obtained along with the optimal power and rate allocation strategies. We then propose a low-complexity on/off power allocation strategy that achieves near-optimal performance with only the main channel CSI. More specifically, this scheme is shown to be asymptotically optimal as the average signal-to-noise ratio (SNR) goes to infinity, and interestingly, is shown to attain the secrecy capacity under the full CSI assumption. Overall, channel fading has a positive impact on the secrecy capacity and rate adaptation, based on the main channel CSI, is critical in facilitating secure communications over slow fading channels.

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Metadata

Authors
Gopala, P. K., Lai, L., & El Gamal, H.
Venue
IEEE Transactions on Information Theory
Published
2008-10
Volume
54
Issue
10
Pages
4687-4698
ISSN
0018-9448 (ISSN-L)
OpenAlex
W2080693943
Cited by
1,261
References
2
FWCI
57.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the Secrecy Capacity of Fading Channels. https://app.cochat.ai/papers/10.1109/tit.2008.928990
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Gopala, P. K., Lai, L., & El Gamal, H. (2008). On the Secrecy Capacity of Fading Channels. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2008.928990

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