Efficiency energy analysis for 6G communication systems using intelligent reflecting surface architecture

Abstract

The subject of this 6G communication system research is expected to form a hyper-connected network in which various electronic devices can connect continuously without interruption. Several technologies have been built to support 6G communication systems, such as intelligent reflecting surface (IRS). An IRS is a reflector equipped with several two-dimensional passive elements that perform a phase shift by each element, which can reflect electromagnetic (EM) waves coming from the base station (BS) to the user equipment (UE), which is controlled via a controller to increase the signal strength at the UE and overcome poor propagation conditions. IRS can be placed anywhere, such as on a wall or on the roof of a building. The aim of the IRS research is expected to reduce the energy consumption and increase the spectral efficiency of wireless networks using artificial intelligence (AI) with low costs, energy savings, no thermal noise, and fairly small levels of interference. The objective of this research is to evaluate and analyze the energy efficiency (EE), including the achievable rate (AR) and signal-to-noise ratio (SNR), by applying the IRS architecture in a 6G communications system, which uses an operating frequency of 95 GHz and a bandwidth of 800 MHz. Then, the method was based on computer simulation using the Matlab software. In this paper, 6G communication system modeling was proposed. This model uses an urban microcell (Umi) that consists of one base station (BS) with multiple antennas, varying the number of IRS reflecting elements and one user. In this research, AR, SNR, and EE, using the frequency of 95 GHz and simulations with MATLAB@2021a software. The results show that the number of elements as many as 400 is 39% more optimal than the number of elements as many as 40 for the AR results. The SNR results without electromagnetic interference (EMI) are higher than SNR values affected by EMI with SNR results of 100 dBm, and the number of reflecting elements is directly proportional to the SNR results. For 800 elements, the EE value is 26% higher than for 40 elements. Conclusions. The application of IRS in 6G communication systems can increase the AR, SNR, and EE.