Secrecy Analysis of a Mu-MIMO LIS-Aided Communication Systems under Nakagami-m Fading Channels

Area of Science:

• Wireless communication systems
• Signal processing
• Information theory

Background:

• Sixth-generation (6G) mobile communication systems aim for enhanced reliability and security.
• Multi-user Multiple-Input Multiple-Output (Mu-MIMO) systems face challenges in non-line-of-sight (non-LoS) environments.
• Large Intelligent Surfaces (LIS) offer a novel approach to manipulate radio wave propagation.

Purpose of the Study:

• To evaluate the performance of Large Intelligent Surface (LIS) technology in a 6G Mu-MIMO system.
• To analyze LIS's impact on Signal-to-Interference plus Noise Ratio (SINR) and transmission security.
• To assess LIS's effectiveness in establishing line-of-sight (LoS) connectivity in non-LoS scenarios.

Main Methods:

• Development of analytical expressions to model LIS performance.
• Assessment of key performance metrics: distribution parameters, bit error probability, and secrecy outage probability.
• Consideration of environmental fading and the presence of eavesdroppers.

Main Results:

• LIS technology significantly enhances SINR in Mu-MIMO systems.
• LIS facilitates the establishment of LoS connectivity, improving transmission security.
• Analytical models provide accurate predictions of LIS performance under various conditions.

Conclusions:

• LIS is a promising technology for advancing 6G mobile communication.
• LIS enhances both the reliability and confidentiality of digital communication systems.
• The study confirms LIS's potential to overcome non-LoS propagation challenges and improve security.