Planar Inverted F Antenna, PIFA Array in 5G applications

Planar inverted F antenna (PIFA) is mainly fit for mobile devices. PIFA is mostly designed for dual band frequencies as it is capable of covering wide range of wireless services. This in turn helps in making it acceptable for designing mobile devices. Sizes of ground plane as well as PIFA’s position with respect to ground plane actually effect the performance of PIFA. For example, placement of PIFA at corner of ground plane shows good radiation pattern. Major prerequisite of 5G is nothing but the capability to enhance data volume to every single user, while supporting majority of mobile users as well as new maneuvers. The best part is advanced antenna array technologies are able to meet such requirements. Although PIFA antenna has gained popularity in designing mobile handsets, because of light weight, lower cost as well as higher directivity, PIFA antenna Arrays have been proved to be strong foundation for future 5G Mobile Communication Systems as PIFA Arrays provide better gain than single PIFA antenna in same frequency band. Current work presents a comprehensive study on so far impact of PIFA as well as PIFA Array in providing infrastructure for future mobile innovations suitable for 5G communication.

Modeling and Designing of a Compact Single Band PIFA Antenna for Wireless Application using Artificial Neural Network

In this paper, we are interested to design a compact single band PIFA antenna using the artificial neural networks (ANN) based on the multilayer perceptrons (MLP). The designed antenna will operate at the frequency 2.45 GHz for ISM (Industrial, Scientific and Medical) band, the medical field, the mobile phone,the Wi-Fi and the Bluetooth. The absence of mathematical models that takes into account all the parameters that affect the characteristics of these antennas present a difficulty in the design of this type of antennas. In this paper, our main contribution is the development of a synthesis and analysis model for PIFA antenna based on the artificial neural network method. For this reasons, we have developed a model of the neural network based on the multilayer perceptron to predict the resonance frequency and the bandwidth of a single band PIFA antenna. By applying the same method, we managed to find a multilayer perceptron structure that can accurately predict the dimensions of the PIFA single band antenna. Using the HFSS software, we designed the single band PIFA antenna that can operate at the frequency 2.45 GHz and presents a bandwidth at -10dB equal 1.0552 GHz, a good reflection coefficient ( −51 dB), the gain is 6.5867 dB.