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

Juan ZHAO, Wei-Ping ZHU

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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.

Publication
IEICE TRANSACTIONS on Fundamentals 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

Authors

Juan ZHAO
  Nanjing University of Posts and Telecommunications
Wei-Ping ZHU
  Nanjing University of Posts and Telecommunications,Concordia University

Keyword