Energy Efficiency Optimization for MIMO Visible Light Communication Systems

被引：19

作者：

An, Liang ^{[1
]}

Shen, Hong ^{[2
,3
]}

Wang, Jiaheng ^{[2
,3
]}

Zeng, Yumin ^{[2
,3
]}

Ran, Rong ^{[4
]}

机构：

[1] Southeast Univ, Minist Educ, Key Lab Underwater Acoust Signal Proc, Nanjing 210096, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[3] Purple Mt Labs, Nanjing 211100, Peoples R China

[4] Ajou Univ, Sch Elect & Comp Engn, Suwon 16499, South Korea

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 04期

基金：

中国国家自然科学基金; 新加坡国家研究基金会;

关键词：

Energy efficiency (EE); fractional programming; multiple-input multiple-output (MIMO); visible light communication (VLC); VLC;

D O I：

10.1109/LWC.2019.2958802

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multiple-input multiple-output (MIMO) visible light communication (VLC) systems can support high data rates for indoor communications. In this letter, we focus on maximizing the energy efficiency (EE) of MIMO VLC systems, where the non-negativeness of the transmit signal, the optical and electrical power constraints, and the data rate and bit error rate (BER) requirements are taken into account. The formulated problem is a difficult nonlinear fractional program. We exploit the Dinkelbach's algorithm and Lagrangian analysis to obtain a semi-closed form solution. The performance advantage of the proposed design is verified by simulation results.

引用

页码：452 / 456

页数：5

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