Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks
Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks
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IRS 辅助毫米波认知无线电网络的稳健安全传输设计
DOI：
10.1109/tvt.2022.3172293
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发表时间：
2021-06
影响因子：
6.8
通讯作者：
Xin Zeng
中科院分区：
文献类型：
--
作者：
Xuewen Wu;Jingxiao Ma;Chenwei Gu;Xiaoping Xue;Xin Zeng
认知无线电网络和毫米波通信是提高频谱效率的两种主要技术。考虑到由于主用户(PU)受到干扰温度的影响，CRN的SE改善是有限的，而毫米波通信中严重的路径损耗和高方向性使其容易受到阻塞事件的影响，因此我们在毫米波CRN中引入了智能反射面(IRS)。由于估计失配和窃听者(EVE)的无源性，窃听链路的完美信道状态信息(CSI)很难获得，这推动了我们对IRS辅助毫米波CRN中稳健安全波束形成(BF)设计的研究。本文考虑了EVES的协作场景，使我们能够在恶劣的窃听环境下研究高炉的设计。具体地说，通过在认知基站(CBS)使用均匀线阵(ULA)和在IRS(IRS)使用均匀平面阵列(UPA)，并假设窃听链路偏离角的不理想CSIS已知，通过联合设计CBS处的发射BF和IRS处的反射BF，我们建立了一个约束问题来最大化次用户(SU)的最坏情况可达保密率(ASR)。针对含有耦合变量的非凸优化问题，提出了一种高效的交替优化算法。对于CBS上的发送BF，我们提出了一种启发式的稳健发送BF算法来解析地获取BF矢量。对于IRS处的反射边界条件，通过引入辅助变量，将非凸问题转化为一个带秩1约束的半定规划问题，并利用迭代罚函数进行处理，然后通过CVX得到最优的反射边界条件。最后，仿真结果表明，与其他基准算法相比，我们提出的算法的ASR性能与具有完美CSI的最优解相比有很小的差距。
Cognitive radio networks (CRNs) and millimeter wave (mmWave) communications are two major technologies to enhance the spectrum efficiency (SE). Considering that the SE improvement in the CRNs is limited due to the interference temperature imposed on the primary user (PU), and the severe path loss and high directivity in mmWave communications make it vulnerable to blockage events, we introduce an intelligent reflecting surface (IRS) into mmWave CRNs. Due to the estimation mismatch and the passivity of Eavesdroppers (Eves), perfect channel state information (CSI) of wiretap links is challenging to obtain, which promotes our research on robust secure beamforming (BF) design in the IRS-assisted mmWave CRNs. This paper considers the collaborate scenario of Eves, which allows us to investigate the BF design in the harsh eavesdropping environment. Specifically, by using a uniform linear array (ULA) at the cognitive base station (CBS) and a uniform planar array (UPA) at the IRS, and supposing that imperfect CSIs of angle-of-departures for wiretap links are known, we formulate a constrained problem to maximize the worst-case achievable secrecy rate (ASR) of the secondary user (SU) by jointly designing the transmit BF at the CBS and reflect BF at the IRS. To solve the non-convex problem with coupled variables, an efficient alternating optimization algorithm is proposed. As for the transmit BF at the CBS, we propose a heuristic robust transmit BF algorithm to attain the BF vectors analytically. As for the reflect BF at the IRS, by means of an auxiliary variable, we transform the non-convex problem into a semi-definite programming problem with rank-1 constraint, which is handled with the help of an iterative penalty function, and then obtain the optimal reflect BF through CVX. Finally, simulation results indicate that the ASR performance of our proposed algorithm has a small gap with that of the optimal solution with perfect CSI compared with the other benchmarks.
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影响因子：
9.3
作者：
Deemah H. Tashman;W. Hamouda
通讯作者：
Deemah H. Tashman;W. Hamouda
确保认知无线电网络的物理层通信安全
影响因子：
11.2
作者：
Yulong Zou;Jia Zhu;Liuqing Yang;Ying-Chang Liang;Yu-Dong Yao
通讯作者：
Yu-Dong Yao
影响因子：
35.6
作者：
Mezzavilla, Marco;Zhang, Menglei;Zorzi, Michele
通讯作者：
Zorzi, Michele
影响因子：
10.4
作者：
Lokman Sboui;Hakim Ghazzai;Z. Rezki;Mohamed-Slim Alouini
通讯作者：
Lokman Sboui;Hakim Ghazzai;Z. Rezki;Mohamed-Slim Alouini
DOI：
10.1109/twc.2010.120310.090852
发表时间：
2011-02-01
影响因子：
10.4
作者：
Lee, Jemin;Wang, Hano;Hong, Daesik
通讯作者：
Hong, Daesik