Abstract
5G and the next generation of wireless technologies are designed to meet the needs of vertical industrial applications like Smart Cities, Industry 4.0, and Smart Grid. These requirements necessitate increased network capacity in order to provide a ubiquitous wireless connection for a large number of devices. Many technologies, such as mm-wave (MMW) communications, massive MIMO systems, and ultra-dense networks (UDN), have been developed in recent years to achieve these goals. However, these technologies have high implementation costs or consume a lot of energy. Intelligent Reflective Surface (IRS) is a low-cost, energy-efficient meta-surface made up of several low-cost passive components. When controlled by the controller, the IRS components can reflect an occurrence signal with a predetermined phase shift for beamforming. This not only improves system performance, but it also addresses the millimeter wave penetration performance issue (MMW). In this paper, a mathematical model of a wireless communication system with IRS in the line-of-sight (LoS) case is developed, as well as a channel model between the base station, the smart reflecting surface, and the user, and a millimeter-wave large-scale fading model. It is investigated the beamforming matrix optimization problem on the base station surface and the intelligent reflecting surface.
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