Maximizing Secrecy Rate in Wiretap Channels with Artificial Noise: A New Approach

This article discusses the impact of artificial noise on wireless communication systems, particularly in the context of 5G networks. The authors investigate the relationship between the secrecy rate and eavesdropper rate in these systems and provide insights into how to optimize the performance of these systems by adjusting the amount of artificial noise introduced by the user equipment (UE).
I. Introduction
The article begins by explaining that wireless communication systems rely on artificial noise to improve their security against eavesdropping. However, this artificial noise can also degrade the system’s performance in terms of secrecy rate. The authors explain that there are two types of noise present in these systems: self-interference and external interference. Self-interference is generated by the UE itself, while external interference comes from other sources such as nearby devices or environmental factors.
C. Exposure Constraint
The article then delves into the specifics of exposure constraint, which refers to the limit on the amount of power that can be used to transmit information. The authors explain that there are two types of exposure constraints: hard and soft. Hard exposure constraints limit the maximum power that can be used, while soft exposure constraints provide more flexibility in terms of the allowed power levels.
B. Eavesdropper Rate
The article then shifts its focus to the eavesdropper rate, which is the rate at which an attacker can intercept and decode the information being transmitted between the UE and the base station. The authors explain that the eavesdropper rate is directly related to the secrecy rate, as a higher eavesdropper rate will result in a lower secrecy rate.
The article concludes by highlighting the importance of optimizing the amount of artificial noise introduced by the UE in order to achieve a balance between security and performance. The authors suggest that this can be achieved through the use of algorithms that take into account both the secrecy rate and the eavesdropper rate, such as the one proposed in [11].
In summary, this article provides insights into the complex relationship between artificial noise and wireless communication systems, highlighting the tradeoffs between security and performance. By understanding these tradeoffs, engineers can optimize their designs to achieve better overall performance and security in 5G networks.