Artificial Intelligence Metasurface Communications for Massive Connectivity 


Vol. 46,  No. 1, pp. 18-31, Jan.  2021
10.7840/kics.2021.46.1.18


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  Abstract

MU-MIMO systems today are limited by the tradeoff between capacity and cost. In this paper, we propose an artificial intelligence-based communication system as a new approach with potency to eliminate these tradeoff. Metasurface as a reconfigurable intelligent surface chosen to be the main transmitting component based on its capability to process software-friendly data format, which possibly increases flexibility on various multi-user cases. Based on simulation results, we show that the proposed system is advantageous in terms of significant design simplification with auto-encoder based deep learning systems.

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  Cite this article

[IEEE Style]

J. Hardi and K. W. Choi, "Artificial Intelligence Metasurface Communications for Massive Connectivity," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 18-31, 2021. DOI: 10.7840/kics.2021.46.1.18.

[ACM Style]

Jonathan Hardi and Kae Won Choi. 2021. Artificial Intelligence Metasurface Communications for Massive Connectivity. The Journal of Korean Institute of Communications and Information Sciences, 46, 1, (2021), 18-31. DOI: 10.7840/kics.2021.46.1.18.

[KICS Style]

Jonathan Hardi and Kae Won Choi, "Artificial Intelligence Metasurface Communications for Massive Connectivity," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 18-31, 1. 2021. (https://doi.org/10.7840/kics.2021.46.1.18)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880