Design of Ultra-Wideband Millimeter-Wave Circularly Polarized 3D-Printed Lens Antenna Using Optimized Convolutional Spiking Network for Biomedical Application

A novel approach to wireless communication is presented by the Circularly Polarized (CP) 3D-printed metalens lens antenna, an ultra-wideband millimeter-wave (mm-wave) antenna. Combining 3D printing technology with advanced metalens construction, it offers wide bandwidth, circular polarization, and a compact form factor, promising enhanced performance for future millimeter-wave communication systems. In this research work, an optimized Convolutional Spiking Neural Network (CSNN)-based Ultra-wideband mm-wave CP 3D-printed metalens lens antenna is proposed for kidney tumor detection. The proposed method combines phase compensation, UC design, and EM response prediction of CP 3D-printed metalens in a single framework using CSNN with Improved Poplar Optimization Algorithm (IPOA). The proposed CSNN consists of two input modules with two attention layers. The initial module smartly furnishes the necessary constraints of the Unit Cells (UC) and forecasts the transmission magnitudes. The next module predicts the geometric parameters for a CP 3D-printed metalens lens antenna. At last, the attention layer combines the geometric parameters and optimizes the design process. The error rate of CSNN is optimized by IPOA. A compact CP metalens antenna was created via 3D printing in order to evaluate the concept. The measured results indicate an 8.2% gain and a 3-dB gain bandwidth achieved by this antenna. Furthermore, the 3-dB Axial Ratio (AR) covers the whole 80–120 GHz W-band. Subsequently, the developed antenna is utilized for kidney cancer detection. The reflection coefficient was simulated using the CST microwave studio for both renal cancer and non-cancerous situations.