Deep Learning for Selection Between RF and VLC Bands in Device-to-Device Communication
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00343556" target="_blank" >RIV/68407700:21230/20:00343556 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/LWC.2020.3003786" target="_blank" >https://doi.org/10.1109/LWC.2020.3003786</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LWC.2020.3003786" target="_blank" >10.1109/LWC.2020.3003786</a>
Alternative languages
Result language
angličtina
Original language name
Deep Learning for Selection Between RF and VLC Bands in Device-to-Device Communication
Original language description
This letter focuses on the selection between radio frequency (RF) and visible light communications (VLC) bands for users exchanging data directly with each other via device-to-device (D2D) communication. We target to maximize the energy efficiency of D2D communication while the outage is minimized. Since the VLC channel can vary quickly due to the possible changes in irradiance and incidence angles, we aim to reach a quick band selection decision in a multi-user scenario based only on the knowledge of the received power and sum interference from all D2D transmitters at the individual D2D receivers. The proposed solution is based on a deep neural network making an initial band selection decision. Then, based on the DNN's output, a fast heuristic algorithm is proposed to further improve the band selection decision. The results show that the proposal reaches a close-to-optimal performance and outperforms the existing solutions in complexity, outage ratio, and energy efficiency.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/GA17-17538S" target="_blank" >GA17-17538S: Combined Radio Frequency and Visible Light Bands for Device-to-Device communication</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Wireless Communications Letters
ISSN
2162-2337
e-ISSN
2162-2345
Volume of the periodical
9
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
1763-1767
UT code for WoS article
000577969000036
EID of the result in the Scopus database
2-s2.0-85092771813