著者

Baud Haryo Prananto Iskandar Adit Kurniawan

出版者

The Institute of Electronics, Information and Communication Engineers

雑誌

IEICE Communications Express (ISSN:21870136)

巻号頁・発行日

vol.12, no.1, pp.19-23, 2023-01-01 (Released:2023-01-01)

参考文献数

4

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Handover is very crucial in cellular communication since it may interrupt data transmission. The traditional handover algorithm works well in ideal conditions, but it may fail in certain conditions such as coverage holes. In this letter, we present our simulation to improve handover performance using machine learning. We implement and perform novel modifications on Near-RT RIC, a new network element by O-RAN, to solve the target cell decision problem using a machine learning algorithm in a network with a coverage hole. We show that this solution is proven superior to the traditional handover algorithm.