Autors: Kumar V., Singh H., Saxena K., Bonev, B. G., Prasad R., Kapse V. M.
Title: Machine Intelligence Method for Rain Classification by Using Signal Strength for Designing of 6G Networks
Keywords: ANN; ITU Model; Machine Learning; Rain Attenuation; Telecomm

Abstract: As a result of some fundamental needs, including greater data rates, expanded capacity, decreased latency, and improved QoS, scientists, mobile provider industry representatives, and academia have started to look into the advancement (technical) toward 6G communication networks (Quality of Service). In an effort to create the technological foundation for 6G mobile communication, numerous research initiatives or projects involving significant mobile infrastructure suppliers, academia, and global network operators has recently been developed. In this paper, an intelligent model based on ANN is proposed. The model's measured accuracy was 97.6%, which was higher than others models.

References

    Issue

    National Conference with International Participation, TELECOM 2022, 2022, Bulgaria, DOI 10.1109/TELECOM56127.2022.10017308

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus