Model Predictive Cell Zooming for Energy-harvesting Small Cell Networks

被引：0

作者：

Wakaiki, Masashi ^{[1
]}

Suto, Katsuya ^{[2
]}

Koiwa, Kenta ^{[3
]}

Liu, Kang-Zhi ^{[3
]}

Zanma, Tadanao ^{[3
]}

机构：

[1] Kobe Univ, Grad Sch Syst Informat, Kobe, Hyogo, Japan

[2] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada

[3] Chiba Univ, Dept Elect & Elect Engn, Chiba, Japan

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2018年

基金：

日本学术振兴会;

关键词：

Small cell networks; model predictive control; transmission power control; energy harvesting; EFFICIENT; OPERATION; DESIGN;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper addresses the real-time control of transmission power for small cell base stations (SBSs) exploiting energy-harvesting sources. We employ model predictive control and optimize an objective function that contains the number of users with a given quality of experience and the average state of charge. We first determine the number of active SBSs in the viewpoint of energy efficiency and then approximate the objective function. Finally, we illustrate the proposed method through a numerical example, comparing it with a static method based on statistical information.

引用

页数：6

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