A Self-Learning Based Antenna System for Indoor Wireless Network

Wei Ni
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Wei Ni: Jiangsu Automation Research Institute, Lianyungang, China

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2017, vol. 9, issue 4, 78-87

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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:japuc0:v:9:y:2017:i:4:p:78-87

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International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) is currently edited by Tao Gao

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