Autoencoder-Based Transmission Waveform Design for Non-Orthogonal Multiple Access and Multi-Node Detection in Human Body Communication 


Vol. 45,  No. 7, pp. 1201-1209, Jul.  2020
10.7840/kics.2020.45.7.1201


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  Abstract

In this paper, we consider human body communication (HBC) that exploits the human body as a communication medium, where multiple wearable sensors transmit their sensed data to a data collector or hub. Unlike conventional HBC in which a point-to-point HBC is extensively investigated, we utilize an autoencoder(AE)-based deep learning technique to propose new transmission waveform optimization and multi-node detection schemes for non-orthogonal multiple access (NOMA) in HBC. The proposed AE-based detection schemes can learn how to make transmit waveforms and allocate the transmit power to improve the multi-node detection performance in the multi-node HBC. In addition, we also propose a neural network structure that can efficiently learn the interference cancellation in the NOMA to improve multi-node detection performance. Through simulations, we verify the performance of the proposed AE-based multi-node detection methods in multi-node HBC.

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  Cite this article

[IEEE Style]

S. Hwang, J. Park, J. Hong, H. Lee, "Autoencoder-Based Transmission Waveform Design for Non-Orthogonal Multiple Access and Multi-Node Detection in Human Body Communication," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1201-1209, 2020. DOI: 10.7840/kics.2020.45.7.1201.

[ACM Style]

Seong-Jun Hwang, Jaehyun Park, Jun-Pyo Hong, and Hoon Lee. 2020. Autoencoder-Based Transmission Waveform Design for Non-Orthogonal Multiple Access and Multi-Node Detection in Human Body Communication. The Journal of Korean Institute of Communications and Information Sciences, 45, 7, (2020), 1201-1209. DOI: 10.7840/kics.2020.45.7.1201.

[KICS Style]

Seong-Jun Hwang, Jaehyun Park, Jun-Pyo Hong, Hoon Lee, "Autoencoder-Based Transmission Waveform Design for Non-Orthogonal Multiple Access and Multi-Node Detection in Human Body Communication," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1201-1209, 7. 2020. (https://doi.org/10.7840/kics.2020.45.7.1201)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880