Optimal Semiadaptive Transmission With Artificial-Noise-Aided Beamforming in MISO Wiretap Channels
Optimal Semiadaptive Transmission With Artificial-Noise-Aided Beamforming in MISO Wiretap Channels
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DOI：
10.1109/tvt.2015.2483639
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发表时间：
2016-09
影响因子：
6.8
通讯作者：
Zongmian Li;Pengcheng Mu;Bo Wang-;Xiaoyan Hu
中科院分区：
文献类型：
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作者：
Zongmian Li;Pengcheng Mu;Bo Wang-;Xiaoyan Hu
本文研究了慢衰落多输入单输出（MISO）信道中人工噪声辅助（AN辅助）安全传输的设计。我们考虑这样的场景：在存在多个非共谋的单天线窃听者的情况下，多天线发射机向单天线合法接收机发送消息。假设发射机拥有合法信道的瞬时信道状态信息(CSI)，但仅拥有窃听者信道的统计信息。我们没有采用众所周知的自适应和非自适应传输方案，而是考虑新提出的半自适应方案，其中通信速率固定，并且根据合法信道的CSI自适应地调整保密率。与自适应方案相比，固定通信速率的一个主要优点是可以固定码本，从而简化了编码器和解码器的设计。我们考虑一种通用的AN辅助波束形成结构，它允许任意波束形成方向。具体来说，我们关注在可靠安全传输的前提下最大化保密吞吐量的问题。通过求解该问题，以封闭形式推导了最优波束形成方向、功率分配参数和保密率，并在数值上获得了最优通信速率。最后，仿真结果显示了半自适应方案的性能。
This paper studies the design of artificial-noise-aided (AN-aided) secure transmission in slow-fading multiple-input-single-output (MISO) channels. We consider the scenario where a multiantenna transmitter sends messages to a single-antenna legitimate receiver in the presence of multiple noncolluding single-antenna eavesdroppers. It is assumed that the transmitter possesses instantaneous channel state information (CSI) of the legitimate channel but only the statistics of the eavesdropper's channels. Instead of adopting the well-known adaptive and nonadaptive transmission schemes, we consider the newly proposed semiadaptive scheme, in which the communication rate is fixed, and the secrecy rate is adaptively adjusted according to the legitimate channel's CSI. Compared with the adaptive scheme, a major advantage of fixing the communication rate is that the codebook can be fixed, and thus, the encoder and decoder designs are both simplified. We consider a generalized AN-aided beamforming structure, which allows arbitrary beamforming direction. Specifically, we focus on the problem of maximizing the secrecy throughput on the premise of reliable and secure transmission. By solving this problem, the optimal beamforming direction, power-allocation parameters, and secrecy rate are derived in closed form, and the optimal communication rate is obtained numerically. Finally, simulation results are presented to show the performance of the semiadaptive scheme.