人工噪声与人工噪声消除：重新定义物理层安全的缩放定律
Artificial Noise Versus Artificial Noise Elimination: Redefining Scaling Laws of Physical Layer Security
AI总结：
本文研究了人工噪声与人工噪声消除对物理层安全缩放定律的影响，揭示了天线数量间相互制约关系，并提供了系统设计的指导。
摘要：
人工噪声（AN）是多输入多输出窃听信道上的无线通信中的关键物理层安全方案。最近，人工噪声消除（ANE）作为一种策略出现，用于减轻AN对窃听者的影响。然而，当对抗AN时，ANE对保密率的影响尚未被研究。本文通过建立在存在AN和ANE情况下的平均和瞬时保密率的缩放定律来解决这个问题。基于这些缩放定律，得出的几个推论提供了关于发射天线数、接收天线数和窃听者天线数之间相互制约关系的见解，揭示了这些因素之间的相互作用。一个关键推论表明，当窃听者拥有的天线数超过发射器的两倍时，安全通信可能不再得到保证。此外，通过比较在ANE对抗AN和不使用AN的情况下，本研究确定了AN仍然有效的充分条件。最后，得出的保密率提供了系统设计的指导，即使在窃听者实施了先进的ANE反制措施的情况下也是如此。
英文摘要：
Artificial noise (AN) is a key physical-layer security scheme for wireless communications over multiple-input multiple-output wiretap channels. Recently, artificial noise elimination (ANE) has emerged as a strategy to mitigate the impact of AN on eavesdroppers. However, the influence of ANE on the secrecy rate when counteracting AN has not been investigated. In this paper, we address this issue by establishing scaling laws for both average and instantaneous secrecy rates in the presence of AN and ANE. Based on the scaling laws, several derived corollaries provide insights into the mutual constraints between the number of transmit antennas, receive antennas, and antennas at eavesdroppers, revealing the interplay between these factors. A key corollary reveals that when the eavesdropper possesses more than twice as many antennas as the transmitter, secure communication may no longer be guaranteed. Additionally, by comparing scenarios where ANE counteracts AN with those where AN is not employed, this study identifies sufficient conditions under which AN remains effective. Finally, the derived secrecy rates provide guidelines for system design, even in the presence of advanced ANE countermeasures implemented by the eavesdropper.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
