AI 中文总结
研究基于室内 OFDM 的 ISAC 系统双重安全问题，提出用时域人工噪声，扩大恶意通信用户时域感知误差防其感知，降低感知用户频域信干噪比削弱其窃听，保证合法用户性能，实现对感知和通信的双重保护。
AI 中文摘要
随着集成感知与通信（ISAC）作为未来无线网络的关键推动因素迅速发展，保障通信和感知功能的安全变得越发重要。当前安全 ISAC 研究要么局限于通信安全，要么局限于感知安全，而非两者兼顾。为弥补这一差距，本文研究基于室内正交频分复用（OFDM）的 ISAC 系统中的双重安全。具体而言，考虑一种场景，即感知用户（SU）被授权进行感知但可能窃听通信数据，而通信用户（CU）被授权通信但可能进行未经授权的感知。针对此，提出使用时域人工噪声（AN），通过扩大恶意 CU 的时域感知误差来防止其感知，同时利用标准 OFDM 接收机处理降低 SU 的频域信干噪比（SINR）以削弱其数据窃听。此外，该方案保证了 SU 的感知性能和 CU 的通信性能。给出的数值结果表明，AN 能在保证合法用户性能的同时，有效为 OFDM-ISAC 系统中的感知和通信提供双重保护。
英文摘要
With the rapid development of integrated sensing and communication (ISAC) as a key enabler for future wireless networks, ensuring the security of both communication and sensing functions has become increasingly important. Current secure ISAC studies focus restrictively either on the communication or the sensing security, but not both. To bridge this gap, this paper investigates security for both, i.e., dual-security, in indoor orthogonal frequency division multiplexing (OFDM) based ISAC systems. Specifically, we consider a scenario in which a sensing user (SU) is authorised for sensing but may eavesdrop on communication data, while a communication user (CU) is authorised for communication but may perform unauthorised sensing. We chose this scenario as the pathological case where an authorised eavesdropper has more information and is more effective than an unauthorised one. To address this case, we propose the use of temporal artificial noise (AN) to prevent malicious CU sensing by enlarging its time-domain sensing error, and simultaneously degrade SU data eavesdropping by reducing its frequency-domain signal-to-noise-plus-interference ratio (SINR) with standard OFDM receiver processing. Meanwhile, our proposed scheme guarantees the sensing performance of the SU and the communication performance of the CU. We present numerical results that demonstrate AN can effectively provide dual protection for sensing and communication in OFDM-ISAC systems while guaranteeing the performance of legitimate users.
CommentsSubmitted to an IEEE Conference
