IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136

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Handover Improvement using O-RAN Near-RT RIC for Network with Coverage Hole
Baud Haryo PranantoIskandarAdit Kurniawan
著者情報
キーワード: cellular, handover, machine learning, O-RAN
ジャーナル フリー 早期公開

論文ID: 2022XBL0144

この記事には本公開記事があります。
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抄録

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.

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© 2022 The Institute of Electronics, Information and Communication Engineers
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