A novel wide-band, small size and high gain patch antenna array for 5G mm-wave applications using adaptive neuro-fuzzy inference system

In this paper a wide-band, small size and high gain modified patch antenna array and a single element antenna for fifth Generation (5G) millimetre-wave (mm-wave) applications have been presented. The designing of single element antenna and array antenna is based on the Adaptive Neuro-Fuzzy Inference systems (ANFIS). The ANFIS technique is used to estimate the dimensions of the single element as well as the spacing between patch antenna elements in antenna array. The single element’s operating frequency is 28 GHz, While the array antenna covers the frequency band from 23.6 to 29.2 GHz, resonating at 25 and 28 GHz. The antenna array was designed and simulated using the Rogers RT duroid 5880 Substrate, which has a dielectric constant of 2.2, a loss tangent of 0.0009, and thickness of 0.508 mm. The proposed single element patch antenna has a size of 4x4.8x0.508 mm3 with wideband range from 23 to 38.6 GHz (15.6 GHz) with a gain of 4.17 dB. Based on these properties, the single element is expanded into a six-element array with a compact size of 13.2x23.8x0.508 mm3 in order to enhance the gain and to make the antenna radiation pattern directional. The designed antenna array has a wide-band from 23.6 to 29.2GHz (5.6 GHz) and a high gain of 11 dB, making it as strong candidate for future mm-wave applications.

A novel wide-band, small size and high gain patch antenna array for 5G mm-wave applications using adaptive neuro-fuzzy inference system Articles