Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping

Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping

To efficiently use the finite wireless communication resource (radio spectrum), a Radio Environment Map (REM) is needed to monitor, analyse and provide rich awareness of spectrum activities in a radio propagating environment. REM shows radio coverage metrics in a geographical region. A REM construct...

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Bibliographic Details
Main Authors: Oluwatobi Emmanuel Dare, Kennedy Okokpujie, Emmanuel Adetiba, Olabode Idowu-Bismark, Abdultaofeek Abayomi, Raymond Jules Kala, Emmanuel Owolabi, Udeme Christopher Ukpong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Conditional generative adversarial network (CGAN)
dynamic spectrum sharing (DSS)
radio environment map (REM)
received signal strength (RSS)
television white spaces (TVWS)
Online Access:https://ieeexplore.ieee.org/document/10813343/
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https://ieeexplore.ieee.org/document/10813343/

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