Abstract

In this paper, three different deployment antenna arrays with circular, triangular and rectangular shapes were used to optimize the simultaneous wireless information and power transfer (SWIPT) system for the Internet of Things (IoT). Ray-tracing was employed to channel the model for a real environment. Self-adaptive dynamic differential evolution (SADDE) was used to optimize the harvesting power ratio with bit error rate constrained by the two different resolutions of feed length (high resolution and low resolution). Numerical results show that those three antenna arrays can achieve the goal for information quality in both resolutions. The harvesting power ratio for the circular array is the best and the harvesting power ratio for the rectangular array is the worst. The harvesting power ratio for the low-resolution case is 25% lower than the high-resolution case. However, the circular antenna array is the best deployment in those three different arrays for both high and low resolutions.

Highlights

  • Academic Editors: Teen-Hang Meen, Millimeter wave communication is very promising in terms of high data rate and it is being studied as a key 5G technology to accommodate the expansion of the Internet of Things (IoT) [1,2,3,4,5,6,7]

  • Where N is the number of the total path, f is the frequency, i is the path index of the ray

  • The information decoder quality bit error rate (BER) is used to investigate the inter-symbol-interference in our simultaneous wireless information and power transfer (SWIPT) system and it is computed as the following formula [8,9]:

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Summary

Introduction

Academic Editors: Teen-Hang Meen, Millimeter wave (mm-Wave) communication is very promising in terms of high data rate and it is being studied as a key 5G technology to accommodate the expansion of the Internet of Things (IoT) [1,2,3,4,5,6,7] Because of their smaller wavelength, massive antennas can be deployed in the limited space at the mm-Wave. In [19], the coverage analysis for energy-harvesting by unmanned aerial vehicle cellular networks at millimeter-wave communication was investigated. In [21], the authors used the Nakagami fading channel to analyze energy harvesting performance in low-power devices powered by a mm-Wave cellular network.

System Model
Evolution Algorithm
Numerical Results
Conclusions
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