AI 中文总结
针对全双工ISAC系统中窃听者截获上下行信息的安全问题，提出IJTB迭代方法将非凸和保密速率最大化问题近似为凸问题，仿真验证其优于基准方案。
AI 中文摘要
在集成感知与通信（ISAC）系统中，目标可能截获信息。我们在一个全双工ISAC系统中解决这一特定安全问题，该系统存在恶意窃听者，旨在截获双功能雷达与通信基站和合法通信用户之间的上行（UL）和下行（DL）通信交换。我们构建了一个优化框架，以最大化UL和DL的和保密速率，同时考虑感知和通信的功率预算约束。该优化问题是非凸的，因此我们引入了一种迭代联合泰勒块循环坐标下降（IJTB）方法，将其近似为凸问题。IJTB方法在子问题之间交替：一个用于UL波束成形，另一个用于UL功率分配、人工噪声协方差和DL波束成形，利用泰勒近似简化优化。仿真结果表明，与标准基准相比，我们的方法具有有效性。
英文摘要
In an integrated sensing and communications (ISAC) system, targets may intercept information. We address this specific security issue in a full-duplex ISAC system with malicious eavesdroppers aiming to intercept uplink (UL) and downlink (DL) communication exchanges between the dual-functional radar and communication base station and legitimate communication users. We formulate an optimization framework to maximize the sum secrecy rate for both DL and UL, considering power budget constraints for sensing and communications. The optimization problem is non-convex, so we introduce an iterative joint Taylor-block cyclic coordinate descent (IJTB) method to approximate it as a convex problem. The IJTB method alternates between sub-problems: one for UL beamformers and another for UL power allocation, artificial noise covariance, and DL beamforming, using Taylor approximations to simplify optimization. Simulations demonstrate the effectiveness of our approach compared to standard benchmarks.
Commentsaccepted in 2026 IEEE 1st Annual Integrated Sensing and Communication Conference (ISAC), November 2026
