Reconfigurable Intelligent Surfaces: Models, Optimization, and Applications

Report on Current Developments in the Research Area

General Direction of the Field

The recent advancements in the research area predominantly revolve around the optimization and practical implementation of reconfigurable intelligent surfaces (RIS) and their integration with various communication and sensing systems. The field is moving towards more sophisticated and physically consistent models for RIS, which aim to enhance the efficiency and performance of wireless communication systems. This includes the development of novel algorithms for adaptive frequency sampling and model order reduction, which are crucial for reducing the computational burden associated with frequency domain sweeps of array antennas.

Another significant trend is the exploration of RIS-enabled cellular systems operated by multiple service providers, where the focus is on designing RIS reflection coefficients to maximize performance improvements for specific cells while minimizing interference to others. This approach leverages advanced optimization techniques, such as Riemannian manifold optimization, to achieve a balance between performance enhancement and interference mitigation.

Additionally, there is a growing interest in the parametrization of wireless channels using beyond-diagonal RIS (BD-RIS), which introduces tunable coupling mechanisms between RIS elements. Recent work has derived a physics-compliant diagonal representation for BD-RIS-parametrized channels, enabling the application of existing algorithms for conventional RIS to BD-RIS scenarios. This development is particularly noteworthy as it simplifies the treatment of complex RIS configurations and extends the applicability of existing models.

The integration of frequency diverse arrays (FDA) with RIS in integrated sensing and communication (ISAC) systems is also gaining traction. This approach aims to provide distance-angle-dependent beampatterns to suppress clutter and establish high-quality links between the base station (BS) and users/targets. The optimization of transmit beamforming vectors, RIS phase shifts, and other parameters in these systems is being addressed through advanced optimization techniques, such as fractional programming and alternating optimization, to achieve superior performance in terms of sum rate and radar signal-to-clutter-plus-noise ratio (SCNR).

Noteworthy Papers

  1. Physically Consistent RIS: From Reradiation Mode Optimization to Practical Realization - This paper introduces a practical framework for designing physically consistent RIS, optimizing reradiation modes and validating the approach through experimental measurements.

  2. On Adaptive Frequency Sampling for Data-driven MOR Applied to Antenna Responses - The authors propose novel adaptive methods for frequency domain error estimation, significantly reducing the computational burden in frequency sweeps of array antennas.

  3. A physics-compliant diagonal representation for wireless channels parametrized by beyond-diagonal reconfigurable intelligent surfaces - This work derives a physics-compliant diagonal representation for BD-RIS-parametrized channels, enabling the application of existing algorithms to complex RIS configurations.

  4. Frequency Diverse Array-enabled RIS-aided Integrated Sensing and Communication - The paper investigates FDA-enabled RIS-aided ISAC systems, demonstrating superior performance through advanced optimization techniques.

Sources

Physically Consistent RIS: From Reradiation Mode Optimization to Practical Realization

Impact of number of elements on the directivity of planar array of monopole antenna

On Adaptive Frequency Sampling for Data-driven MOR Applied to Antenna Responses

RIS-Enabled Cellular Systems Operated by Different Service Providers

A physics-compliant diagonal representation for wireless channels parametrized by beyond-diagonal reconfigurable intelligent surfaces

Frequency Diverse Array-enabled RIS-aided Integrated Sensing and Communication

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