An Overview of Signal Processing Techniques for RIS/IRS-aided Wireless Systems

Abstract

In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design of various sophisticated transmission/reception schemes. However, the improvements through applying such schemes operating at two endpoints (i.e., transmitter and receiver) only are limited even after five generations of wireless systems. Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) have emerged as a new and revolutionary technology that can configure the wireless environment in a favorable manner by properly tuning the phase shifts of a large number of quasi passive and low-cost reflecting elements, thus standing out as a promising candidate technology for the next-/sixth-generation (6G) wireless system. However, to reap the performance benefits promised by RIS/IRS, efficient signal processing techniques are crucial, for a variety of purposes such as channel estimation, transmission design, radio localization, and so on. In this paper, we provide a comprehensive overview of recent advances on RIS/IRS-aided wireless systems from the signal processing perspective. We also highlight promising research directions that are worthy of investigation in the future.

Invited overview paper for the special issue of RIS/IRS in IEEE JSTSP. Keywords: Reconfigurable intelligent surface (RIS), intelligent reflecting surface (IRS), channel estimation, transmission design, radio localization

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Cited by in corpus (33)

• Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems
• Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions
• The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms
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• Power Measurement Based Channel Estimation for IRS-Enhanced Wireless Coverage
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• Robust Transmission Design for RIS-Assisted Integrated Sensing and Communication Systems
• Integrating Movable Antennas and Intelligent Reflecting Surfaces (MA-IRS): Fundamentals, Practical Solutions, and ISAC
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• Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems
• STAR-RIS Aided Integrated Sensing, Computing, and Communication for Internet of Robotic Things
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• Channel Estimation and Beamforming Design for MF-RIS-Aided Communication Systems
• IRS-Aided Multi-Antenna Wireless Powered Communications in Interference Channels
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• Low-Complexity Tensor-Based Monostatic Sensing for IRS-Assisted Communication Systems
• An Efficient Convex-Hull Relaxation Based Algorithm for Multi-User Discrete Passive Beamforming
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