A Cellular Base Station Communication System Based on Smart Reflective Surface

Abstract

The invention belongs to the technical field of wireless communication, and relates to a cellular base station communication system based on an intelligent reflective surface. The present invention proposes a novel cellular base station communication system architecture based on an intelligent reflective surface. The intelligent reflective surface is not only used to assist macro base station users in communication, but also to transmit information to multiple users, while avoiding interference and greatly improving Spectrum utilization efficiency is improved, and smart reflective surfaces consume less energy and are more energy efficient. Smart reflective surfaces can further optimize this communication system through passive beamforming. The implementation of the scheme is simple, and it can be proved that it can achieve a spectrum efficiency higher than that of allocating dedicated communication resources for each system, and has strong application value.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a cellular base station communication system based on an intelligent reflective surface. Background technique [0002] With the rapid development of wireless communication technology, the number of communication devices and business volume has increased exponentially in the past decade, which has also brought about a surge in demand for cellular capacity. Methods for increasing the capacity of a communication system generally include: deploying more cells, increasing available bandwidth, and improving spectrum efficiency. As we all know, reducing the size of cells and deploying more cells is the simplest and most effective way to increase system capacity. Small cell networks are used to cover blind areas and share traffic pressure by densely deploying self-organizing, low-power, and low-cost micro base stations. In a multi-user network, users within t...

AI Technical Summary

Problems solved by technology

There are two major challenges in deploying cells. One is the need to design an effective interference management strategy to control a variety of interferences, mainly including mutual interference between micro cells and macro base stations, interference between adjacent micro cells, and interference from macro base station end users to micro cells. The interference received by the base station, the second is the need to reduce the energy consumption and cost of cell deployment

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