Reconfigurable Intelligent Surfaces (RIS) are planar structures composed of large arrays of tunable elements that can dynamically redirect, reflect, or shape wireless signals in the environment. As wireless communication standards evolve toward ultra-high throughput, ultra-low latency, and massive connectivity, RIS offer a promising low-cost and energy-efficient alternative to traditional active phased arrays or beamformers for enhancing spectral efficiency, signal coverage, and network energy performance, which has been poised as one of the major technology breakthroughs in future wireless networks.

The complex beamforming functions on RIS rely on the dynamic tuning of voltage-controlled diodes, varactors or tunable materials on individual unit cells. The control system must support fast, synchronised tuning over hundreds to thousands of control channels. In current implementations, large-scale RIS control often relies on multiple FPGAs working in parallel to overcome the limited number of I/O pins. This approach results in high power consumption, increased system complexity, and elevated hardware costs, creating significant barriers to scalable and practical RIS deployment.

This project aims to develop a dedicated ASIC for RIS control, addressing the key limitations of FPGA drivers. The ASIC targets the following key design objectives:

• Low Power Consumption by leveraging mature low-power ARM Cortex-M0/M0+ cores.
• High I/O Scalability: Supporting up to 512 digital output channels to meet the drive requirements of large-scale elements tuning.
• Cost Efficiency: Utilising mature IP designs and CMOS nodes to reduce the overall design and manufacturing costs.
• Scalability and Configurability: Flexible configurations for memory and I/O interfaces, enabling the ASIC to support a wide range of RIS sizes and functionalities.

The development of a dedicated RIS ASIC aims to provide a standardised, low-cost, and power-efficient control platform for RIS in both academic research and industrial applications. In the early phases, the project will actively engage with the RIS research community to gather requirements and explore opportunities for co-development. The initiative also plans to release development kits or a semi-open ASIC design framework to encourage further innovation and collaboration. This method has the potential to promote interdisciplinary collaboration among experts in RF engineering, embedded systems, and wireless communication, aligning with the broader vision of scalable, intelligent, and energy-efficient future wireless networks.