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Low-Pass Three Layer Frequency Selective Surface

Resumo:
This paper proposes and validates a low-pass frequency selective surface (FSS) composed of three cascaded layers of rectangular patch elements printed on low-cost FR4 substrates. The multilayer configuration provides a simple and easily manufactured design that achieves a sharp transition between passband and stopband. Full-wave simulations were conducted using ANSYS HFSS, and the prototype was experimentally characterized with a vector network analyzer. The measured cutoff frequencies were approximately 4.98 GHz for vertical polarization and 3.72 GHz for horizontal polarization, showing good agreement with simulation results. The structure maintained angular stability up to 30∘ for vertical and 15° for horizontal polarization. The proposed FSS demonstrates that multilayer low-cost structures can deliver broadband low-pass performance, making them suitable for electromagnetic interference suppression, shielding, and filtering applications.

Autores:
Francisco Carlos G. da Silva Segundo (Departament of Engineering and Technologies, UFERSA),

Alfredo Gomes Neto (Telecommunications and Applied Electromagnetism Group, IFPB)

Antonio Luiz P. S. Campos (PPgEEC/UFRN)

Site do veículo de publicação: https://lacap2026.org/

Parceria entre a UFRN, o IFPB e a UFERSA

Novo artigo publicado!

Radio Environment Maps (REMs) provide a structured way to represent spatial signal conditions and are increasingly used to support smarter network planning and optimization. In this work, we evaluate an open-source testbed and apply Machine Learning (ML) methods to generate indoor REMs for both uplink and downlink scenarios. The study relies on a 5 G telco-cloud platform that enables scalable data gathering and processing suited to real indoor deployments. After running the measurement data through some ML models and checking their mean squared error (MSE) performance, we observed low error values, indicating that the coverage estimates are trustworthy, especially regarding signal quality classification.

Autores:
Marilia Muniz (PPgEEC/UFRN)
William Nascimento (PPgEEC/UFRN)
Paulo Silva (PPgEEC/UFRN)
Augusto Neto (PPgSC/UFRN)
Antonio Campos (PPgEEC/UFRN)
Vicente Sousa (PPgEEC/UFRN)

Veículo de publicação: IEEE 2nd Latin American Conference on Antennas and Propagation (LACAP 2026)

Link artigo: https://doi.org/10.1109/LACAP67012.2026.11471197

Novo artigo publicado!

Autores:

Nelson Ion de Oliveira
Graduate Program in Systems and Computing (PPgSC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil, Digital Metropolis Institute (IMD), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Flávio de Andrade Silva
Department of Communications Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Paulo Eduardo da Silva Junior
Graduate Program in Electrical and Computer Engineering (PPgEEC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Ricardo Q. de F. H. Silva
Graduate Program in Electrical and Computer Engineering (PPgEEC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Mathews P. S. Lima
Graduate Program in Systems and Computing (PPgSC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Daniel Rodrigues de Luna
Graduate Program in Systems and Computing (PPgSC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
Academic Board (DIAC), Federal Institute of Rio Grande do Norte, Ipanguaçu, Ipanguaçu, Rio Grande do Norte, Brazil

Antonio Luiz Pereira de Siqueira Campos
Department of Communications Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
Graduate Program in Electrical and Computer Engineering (PPgEEC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Augusto Venâncio Neto
Graduate Program in Systems and Computing (PPgSC), Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil

Vicente A. de Sousa
Department of Communications Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
Graduate Program in Electrical and Computer Engineering (PPgEEC), Federal University of Rio