Robust artificial-noise aided transmit design for multi-user MISO systems with integrated services
Robust artificial-noise aided transmit design for multi-user MISO systems with integrated services
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DOI：
10.1109/icassp.2016.7472399
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发表时间：
2016-03
期刊：
影响因子：
--
通讯作者：
Weidong Mei;Zhi Chen;Chuan Huang
中科院分区：
文献类型：
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作者：
Weidong Mei;Zhi Chen;Chuan Huang
从业务融合的角度出发，研究了多用户MISO系统中人工噪声辅助的最优传输设计问题。具体地说，两种类型的服务被组合在一起并同时提供服务：一种是针对所有接收方的组播消息，另一种是针对仅一个接收方的机密消息。机密信息对所有未经授权的接收者都是完全安全的。考虑了一般情况下不完全信道状态信息(CSI)，针对组播消息、机密消息和AN的输入协方差的联合稳健设计，使得最坏情况下的保密率区域在和功率约束下最大化。为此，我们揭示了它的隐凸性，并将原来的最坏情况下的鲁棒保密率最大化问题转化为一个半定规划序列。数值结果表明了该方法的有效性。
This paper considers an optimal artificial noise (AN)-aided transmit design for multi-user MISO systems in the eyes of service integration. Specifically, two sorts of services are combined and served simultaneously: one multicast message intended for all receivers and one confidential message intended for only one receiver. The confidential message is kept perfectly secure from all the unauthorized receivers. This paper considers a general case of imperfect channel state information (CSI), aiming at a joint and robust design of the input covariances for the multicast message, confidential message and AN, such that the worst-case secrecy rate region is maximized subject to the sum power constraint. To this end, we reveal its hidden convexity and transform the original worst-case robust secrecy rate maximization (SRM) problem into a sequence of semidefinite programming. Numerical results are presented to show the efficacy of our proposed method.