A robust artificial noise aided transmit design for MISO secrecy
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
替代計量分析
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其它資訊
摘要This paper considers an artificial noise (AN) aided secrecy rate maximization (SRM) problem for a multi-input single-output (MISO) channel overheard by multiple single-antenna eavesdroppers. We assume that the transmitter has perfect knowledge about the channel to the desired user but imperfect knowledge about the channels to the eavesdroppers. Therefore, the resultant SRM problem is formulated in the way that we maximize the worst-case secrecy rate by jointly designing the signal covariance W and the AN covariance Σ. However, such a worst-case SRM problem turns out to be hard to optimize, since it is nonconvex in W and Σ jointly. Moreover, it falls into the class of semi-infinite optimization problems. Through a careful reformulation, we show that the worst-case SRM problem can be handled by performing a one-dimensional line search in which a sequence of semidefinite programs (SDPs) are involved. Moreover, we also show that the optimal W admits a rank-one structure, implying that transmit beamforming is secrecy rate optimal under the considered scenario. Simulation results are provided to demonstrate the robustness and effectiveness of the proposed design compared to a non-robust AN design. © 2011 IEEE.
著者Li Q., Ma W.-K.
會議名稱36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
會議開始日22.05.2011
會議完結日27.05.2011
會議地點Prague
會議國家/地區捷克共和國
詳細描述organized by IEEE,
出版年份2011
月份8
日期18
頁次3436 - 3439
國際標準書號9781457705397
國際標準期刊號1520-6149
語言英式英語
關鍵詞artificial noise, convex optimization, secrecy capacity, semi-definite program (SDP)

上次更新時間 2020-19-09 於 03:44