A Self-Learning Based Antenna System for Indoor Wireless Network

This paper provides an intelligent antenna system for indoor coverage wireless network. With the proposed antenna system, it can estimate user equipment (UE) distribution by a long-term self-learning mechanism. Based on such estimated UE distribution, it can reallocate radio power on each antenna. As a result, it can increase frequency spectrum efficiency and improve system capacity compared with the traditional system. In addition, this solution can also save energy and control interference to neighbor system.