Self-Tuning RIS Controller for Vehicular Communications: A Hardware Perspective

Reconfigurable intelligent surfaces (RIS) can reflect an incoming signal toward a target location to enhance the received signal quality. In most studies, it is assumed that the base station (BS) provides configuration data to an RIS controller. However, for a passive RIS with a high number of elements, this data transmission from the BS can introduce significant delays. This challenge is especially pronounced in vehicular communications, where reflection coefficients must be updated even for a few millimeters of movement. To overcome this limitation, we propose a self-tuning RIS controller that independently calculates the reflection coefficients with minimal input from the BS. Our RIS controller leverages the user’s location information to compute the reflection coefficients in three steps: channel gain calculation, steering vector calculation, and optimal phase control. A pipelined architecture is developed to support these steps in real-time. The proposed VLSI architecture is implemented on an Artix-7 XC7A100TCSG324-1 FPGA to calculate reflection coefficients for a vehicle moving at a 100 kmh speed.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043360
Citations
1
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Self-Tuning RIS Controller for Vehicular Communications: A Hardware Perspective

Hassan Malik, Mahmoud A. Albreem, Shahriar Shahabuddin, Md. Salman Sakib
1 citations
Interconnection Networks and Systems
1.49
article

Self-Tuning RIS Controller for Vehicular Communications: A Hardware Perspective

Hassan Malik, Mahmoud A. Albreem, Shahriar Shahabuddin, Md. Salman Sakib
article en
1 citations

Abstract

Reconfigurable intelligent surfaces (RIS) can reflect an incoming signal toward a target location to enhance the received signal quality. In most studies, it is assumed that the base station (BS) provides configuration data to an RIS controller. However, for a passive RIS with a high number of elements, this data transmission from the BS can introduce significant delays. This challenge is especially pronounced in vehicular communications, where reflection coefficients must be updated even for a few millimeters of movement. To overcome this limitation, we propose a self-tuning RIS controller that independently calculates the reflection coefficients with minimal input from the BS. Our RIS controller leverages the user’s location information to compute the reflection coefficients in three steps: channel gain calculation, steering vector calculation, and optimal phase control. A pipelined architecture is developed to support these steps in real-time. The proposed VLSI architecture is implemented on an Artix-7 XC7A100TCSG324-1 FPGA to calculate reflection coefficients for a vehicle moving at a 100 kmh speed.

University of East Anglia (GB), Oklahoma State University (US), University of Sharjah (AE)
Openalex Percentile: Top 16%
Interconnection Networks and Systems
1.49
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