In this letter, we investigate the outage-constrained robust secure design in a multiple-input single-output (MISO) energy harvesting (EH) cognitive radio network (CRN), where the malicious energy receivers (ERs) may wiretap the desired information and hence can be treated as potential eavesdroppers (Eves). In particular, considering a non-linear energy harvesting (EH) model, our objective is to design the transmit covariance matrix to maximize the secrecy energy efficiency (SEE) under the given outage probability and transmit power constraints, while satisfying the EH and quality-of-service (QoS) requirements. To tackle the original non-convex problem, we resort to semi-definite relaxation (SDR) and Bernstein-type inequality (BTI)-based approximations to reformulate it into a tractable form. Then, the original problem becomes decomposable and can be efficiently solved by handling a two-stage optimization problem. At last, numerical results are provided to demonstrate the effectiveness and superior performance of the proposed design in comparison with the existing schemes.

中文翻译：

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EH 认知无线电网络的中断约束鲁棒保密能效最大化

在这封信中，我们研究了多输入单输出 (MISO) 能量收集 (EH) 认知无线电网络 (CRN) 中的中断约束鲁棒安全设计，其中恶意能量接收器 (ER) 可能窃听所需信息并因此可以被视为潜在的窃听者（Eves）。特别是，考虑到非线性能量收集 (EH) 模型，我们的目标是设计发射协方差矩阵以在给定的中断概率和发射功率约束下最大化保密能量效率 (SEE)，同时满足 EH 和质量-服务 (QoS) 要求。为了解决原始的非凸问题，我们求助于半定松弛 (SDR) 和基于伯恩斯坦型不等式 (BTI) 的近似值，将其重新表述为易于处理的形式。然后，原始问题变得可分解，并且可以通过处理两阶段优化问题有效地解决。最后，提供了数值结果，以证明与现有方案相比所提出的设计的有效性和优越的性能。