Evaluation of Power Receiving Signal of 5G Small Cells for Outdoor/Indoor Environment at Millimeterwave Bands

This paper presents a simulation study of the outdoor and indoor propagation losses utilizing 5G small cells at suggested millimeter-wave frequencies of 26 GHz, 28 GHz, and 38 GHz. The environment of this study is conducted with penetration loss of new and old building characteristics. The simulation is performed with help of 3D ray tracing model NVIDIA OptiX engine and MATLAB. The targeted frequencies are 26 GHz, 28 GHz, and 38 GHz that specified by International Telecommunication Union ITU-R organization. The simulation routes are investigated in term of signal strength at multiple receiving points. The strength angular spectrum are represented for fixed points and the power receiving delay is presented by their attributes. The simulated responses showed an efficient and sufficient outdoor and indoor service might be provisioned at 26 GHz and 28 GHz. The received signals at 28 GHz and 38 GHz are found around 4.5 dB and 11 dB with comparison with signal received level at 26 GHz. However, at 38 GHz the indoor signal strength and power receiving delays demonstrate a weak signal reception which offers a poor solution to indoor user by outside fixed base station.

Optimum AP Estimation Location for the communication of different mmWave bands

Millimeter wave (mmWave) has been known to be the most promising technology for the future of wireless communication. It uses directional antenna for both transmitters and receivers to minimize its higher attenuation characteristics. Different localization approaches take the advantages of these directionality features in mmWave frequencies for different indoor environment. As a result, understanding the best position for AP's implementation has a huge effect on enhancing certain areas of network activity, maintenance, and coverage. In addition, establish the behavioral features of the wireless network. For localization purposes, the most used method was based on calculations of obtained signal intensity (RSS), which is commonly used in the wireless network. As well as it can be easily accessed from different operating systems. In this paper, we proposed an optimal AP localization algorithm based on RSS measurement obtained from different received points and by using mmWave bands of 28 and 39 GHz. This algorithm works as a complementary to the results obtained from 3D Ray tracing model based wireless InSite software. Four AP locations per each selected mmWave band have been included for algorithm investigation. Results obtained illustrate utility in selecting the appropriate position for the implementation of AP and based on the estimation of various parameters by the algorithm presented. The effects of different building materials and frequency sensitivity materials on signal propagation have been considered with specifying the optimum location for deploying AP. In addition, in this article, a channel characterized based on path losses was obtained for each AP position in each mmWave band as a validation of the algorithm's selection of the optimum location.