Graduate School and Research Center in Digital Sciences

Transmit power control using deep neural network for underlay device-to-device communication

Lee, Woongsup; Kim, Minhoe; Cho, Dong-Ho

IEEE Wireless Communications Letters, 2018

A transmit power control strategy using a deep neural network (DNN) is proposed for underlay device-to-device (D2D) communication where D2D user equipment (DUE) shares radio resources with cellular user equipment (CUE). In this scheme, a transmit power control strategy for DUE is found with the aid of a newly proposed DNN structure. Both the spectral efficiency (SE) of the DUE and the amount of interference at the CUE are taken into account, such that the SE of the DUE can be improved while alleviating any deterioration in the cellular transmission. Using simulations, we show that the proposed scheme can achieve a high SE of the DUE while properly regulating the interference caused to the CUE, with a low computation time.

Doi Bibtex

Title:Transmit power control using deep neural network for underlay device-to-device communication
Type:Journal
Language:English
City:
Date:
Department:Communication systems
Eurecom ref:5619
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Bibtex: @article{EURECOM+5619, doi = {http://dx.doi.org/10.1109/LWC.2018.2864099}, year = {2018}, month = {08}, title = {{T}ransmit power control using deep neural network for underlay device-to-device communication}, author = {{L}ee, {W}oongsup and {K}im, {M}inhoe and {C}ho, {D}ong-{H}o}, journal = {{IEEE} {W}ireless {C}ommunications {L}etters, 2018}, url = {http://www.eurecom.fr/publication/5619} }
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