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Computer Science, Information Theory

Unlocking the Power of Array Antennas: A Performance Analysis of Channel Models

Unlocking the Power of Array Antennas: A Performance Analysis of Channel Models

Near-field ISAC (Integrated Sensing and Communications) is a technology that combines sensing and communication functions in one system, enabling both tasks to share resources and improve performance. This article provides a comprehensive analysis of the near-field ISAC model, including its channel modelling, effective aperture, and performance evaluation metrics.

Channel Modelling

The near-field ISAC channel is characterized by the interaction between the transmitting and receiving elements, which are typically antennas or sensors. The channel can be modeled using different approaches, such as the large array approximation, the small-scale fading approximation, or the ray-tracing method. These models aim to capture the spatial and temporal variability of the channel, which is essential for accurate performance analysis.

Effective Aperture

The effective aperture is a critical parameter in near-field ISAC, as it determines the sensitivity of the system to the surrounding environment. The effective aperture can be calculated using different methods, such as the array factor or the geometric mean of the individual elements’ apertures. Understanding the effective aperture is crucial for optimizing the system’s performance in various scenarios.

Performance Analysis

The authors evaluate the performance of near-field ISAC using several metrics, including the signal-to-noise ratio (SNR), the bit error rate (BER), and the power efficiency. These metrics provide insights into the system’s capabilities and limitations, which can be used to optimize its design and operation. The authors also analyze the impact of various factors on the performance, such as the number of elements, the element spacing, and the polarization of the signals.
In conclusion, this article provides a detailed analysis of near-field ISAC modeling and performance evaluation. By understanding the channel modelling, effective aperture, and performance metrics, researchers and practitioners can design and optimize integrated sensing and communication systems for various applications, including intelligent surface antennas, IoT devices, and 6G networks.