On the impact of quantized channel feedback in guaranteeing secrecy with artificial noise

  • Authors:

  • Ya-Lan Laing;Yung-Shun Wang;Tsung-Hui Chang;Y.-W. Peter Hong;Chong-Yung Chi

  • Affiliations:

  • Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan;Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan;Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan;Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan;Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan

  • Venue:
  • ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
  • Year:
  • 2009

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Abstract

Physical-layer secrecy in wireless fading channels has been studied extensively in recent years to ensure reliable communication between the transmitter and the receiver subject to constraints on the information attainable by the eavesdropper. With multiple antennas at the transmitter, Goel and Negi proposed the use of artificial noise (AN) in the null space of the receiver's channel to corrupt the eavesdropper's reception, which helps guarantee secrecy without knowledge of the eavesdropper's channel. It has been shown that the secrecy capacity can be made arbitrarily large by increasing the transmission power, when perfect knowledge of the receiver's channel direction information (CDI) is available. However, in practice, this is not possible due to rate-limitations on the feedback channel. This paper studies the impact of quantized channel feedback on the secrecy capacity achievable with artificial noise. We show that, with imperfect CDI at the transmitter, the AN that was originally intended only for the eavesdropper may leak into the receiver's channel and limit the achievable secrecy rate. To maintain a constant performance degradation, the number of feedback bits must increase at least logarithmically with the transmission power. Moreover, we observe that the portion of power allocated to the transmission of AN should decrease as the number of quantization bits decreases to alleviate the degradation due to noise leakage.