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Project: Accelerating the Future 5G/6G Deployments with Millimeter Wave Integrated Circuit Interfaces Generated by Deep Computer Vision

Acronym: ACTON
Main Objective:
Complementary metal-oxide-semiconductor (CMOS) technologies provide unmatched digital compatibility and low-cost at a large production scale. Still, the design of millimeter-wavelength (mmWave) CMOS interfaces is mostly performed manually and struggles to reach the full potential allowable by the integration technologies. Furthermore, the severe impact of process variations or layout parasitics of deep nanometer nodes only further aggravates the design problem. Several electronic design automation (EDA) tools for radio frequency integrated circuit (IC) design have been proposed, however, as the operating frequency gradually ascends into the dozens of gigahertz, the application of existent tools to design modern mmWave interfaces results in prohibitive optimization cycles. In 2024, EDA solutions for mmWave IC design are highly needed, but still in an embryonic stage of development and application.

Europe needs to take an early advantage and hold a leading position on the new market opportunities enabled by 5G and upcoming 6G networks, while, in parallel, thrive for technological independence. The main objective of the ACTON project is to decrease design time, errors and design costs of future deployments of 5G/6G IC interfaces; while, simultaneously, improving their performance, pushing them to the limits of advanced CMOS nodes. To do so, we propose exploratory research on the application of advanced artificial intelligence techniques, namely deep convolutional neural networks and generative adversarial networks, to mmWave structures. When combined with established EDA concepts and off-the-shelf computer-aided design tools for IC design, a design space beyond human capability will be explored and re-design iterations between electrical and physical design steps potentially eliminated. Within ACTON project, the proof of concept will be made by using the groundbreaking intelligent EDA (iEDA) tool to implement fundamental blocks of a 37-to-40-GHz (n260 band) transceiver (TRX), part of a cost-effective implementation of a phased-array front-end, intended to serve the next generation of 5G cellular deployments, including base stations, smartphones or tablets.
Reference: FCT/2023.11981.PEX
Funding: FCT
Start Date: 01-02-2024
End Date: 31-07-2026
Team: Ricardo Miguel Ferreira Martins, João Manuel Torres Caldinhas Simões Vaz, Luís Miguel Moreira Mendes, Nuno Cavaco Gomes Horta, Filipe Parrado de Azevedo, António Paiva Lapas de Gusmão, Rafael Alexandre Ascenso Vieira
Groups: Integrated Circuits - Lx, Wireless Circuits – Lx
Partners: Instituto de Telecomunicações
Local Coordinator: Ricardo Miguel Ferreira Martins

Associated Publications
  • 6Papers in Conferences
  • P. P. Paiva, F. A. Azevedo, R. M. Martins, PVT-Inclusive mmWave IC Sizing Optimizations Boosted by ANN-based Performance Regressors and Transfer Learning, IEEE International Conference on Electronics Circuits and Systems - ICECS, Marrakech, Morocco, Vol., pp. -, November, 2025,
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  • C.A. Almeida, M. O. Oliveira, L. Z. Zhang, R. M. Martins, Leveraging Convolutional Autoencoders for Post-Layout Performance Estimation of Analog ICs, IEEE International Conf. on Electronics, Circuits and Integrated Systems - ICECS, Marrakesh, Morocco, Vol., pp. -, November, 2025,
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  • F. A. Azevedo, M. L. Leibl, R. M. Martins, H. G. Graeb, Inverse Analog IC Sizing and Exploration through Diffusion Models and Structural Knowledge, International Conf. on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design - SMACD, Istanbul, Turkey, Vol., pp. -, July, 2025 | Full text (PDF 511 KBs) | BibTex
  • J. C. Costa, F. A. Azevedo, R. M. Martins, A Comparative Study on the Incorporation of PVT Corner Conditions within Reinforcement Learning-based Analog IC Sizing Approaches, IEEE International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design - SMACD, Istanbul, Turkey, Vol., pp. -, July, 2025 | BibTex
  • C.A. Almeida, M. O. Oliveira, R. M. Martins, On the Exploration of Convolutional Variational Autoencoders for Analog Integrated Circuit Post-Placement Performance Regression, IEEE International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design - SMACD, Istanbul, Turkey, Vol., pp. -, July, 2025 | BibTex
  • F. A. Azevedo, N. Lourenço, R. M. Martins, Late Breaking Results: Encoder-Decoder Generative Diffusion Transformer Towards Push-Button Analog IC Sizing, ACM/IEEE Design Automation Conference (DAC), San Francisco, United States, Vol., pp. -, June, 2025,
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