Distributed Resource Allocation for D2D Communication based on Deep Neural Network 


Vol. 46,  No. 12, pp. 2159-2162, Dec.  2021
10.7840/kics.2021.46.12.2159


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  Abstract

In this paper, we investigate the deep neural network (DNN) based resource allocation scheme for cellular network with underlaid device-to-device (D2D) communication which can be executed in a fully distributed manner. Through simulation, we confirm that the considered scheme can achieve near optimal performance and the fair usage of radio resource among users is also validated.

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  Cite this article

[IEEE Style]

W. Lee, "Distributed Resource Allocation for D2D Communication based on Deep Neural Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 12, pp. 2159-2162, 2021. DOI: 10.7840/kics.2021.46.12.2159.

[ACM Style]

Woongsup Lee. 2021. Distributed Resource Allocation for D2D Communication based on Deep Neural Network. The Journal of Korean Institute of Communications and Information Sciences, 46, 12, (2021), 2159-2162. DOI: 10.7840/kics.2021.46.12.2159.

[KICS Style]

Woongsup Lee, "Distributed Resource Allocation for D2D Communication based on Deep Neural Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 12, pp. 2159-2162, 12. 2021. (https://doi.org/10.7840/kics.2021.46.12.2159)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880