Scaling Law of Energy Efficiency in Intelligent Reflecting Surface Enabled Internet of Things Networks

Juan ZHAO
Wei-Ping ZHU

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E105-A    No.4    pp.739-742
Publication Date: 2022/04/01
Publicized: 2021/09/29
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2021EAL2061
Type of Manuscript: LETTER
Category: Communication Theory and Signals
Keyword: 
internet of things (IoT),  reflecting intelligent surface (RIS),  scaling law,  energy efficiency,  spectral efficiency,  

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Summary: 
The energy efficiency of intelligent reflecting surface (IRS) enabled internet of things (IoT) networks is studied in this letter. The energy efficiency is mathematically expressed, respectively, as the number of reflecting elements and the spectral efficiency of the network and is shown to scale in the logarithm of the reflecting elements number in the high regime of transmit power from source node. Furthermore, it is revealed that the energy efficiency scales linearly over the spectral efficiency in the high regime of transmit power, in contrast to conventional studies on energy and spectral efficiency trade-offs in the non-IRS wireless IoT networks. Numerical simulations are carried out to verify the derived results for the IRS enabled IoT networks.