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A Self-Learning Based Antenna System for Indoor Wireless Network

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  • Wei Ni

    (Jiangsu Automation Research Institute, Lianyungang, China)

Abstract

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.

Suggested Citation

  • Wei Ni, 2017. "A Self-Learning Based Antenna System for Indoor Wireless Network," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 9(4), pages 78-87, October.
    • Handle: RePEc:igg:japuc0:v:9:y:2017:i:4:p:78-87
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