Optimal Handover in Beamforming-Enabled Multi-Vehicle Networks Supported by Open RAN

Traditional RAN handover strategies often trigger excessive handovers in V2X systems, leading to unstable links and increased communication overhead. Open and softwarized RAN introduces centralized, intelligent control through custom xApps running on the RAN controller, enabling real-time handover and beam management. However, its application to beamforming-based handovers in multi-vehicle scenarios remains underexplored. In this work, we propose three strategies to minimize handover frequency in both analog and hybrid beamforming systems, with and without relay support. We also outline a simulation framework based on NS-3 and SUMO, the traffic and mobility simulator, to evaluate the effectiveness of our proposed solutions.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/netsoft64993.2025.11080620
Citations
1
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.67
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article

Optimal Handover in Beamforming-Enabled Multi-Vehicle Networks Supported by Open RAN

Frank H. P. Fitzek, Giang T. Nguyen, Yizhou Wang
1 citations
Wireless Body Area Networks
0.67
article

Optimal Handover in Beamforming-Enabled Multi-Vehicle Networks Supported by Open RAN

Frank H. P. Fitzek, Giang T. Nguyen, Yizhou Wang
article en
1 citations

Abstract

Traditional RAN handover strategies often trigger excessive handovers in V2X systems, leading to unstable links and increased communication overhead. Open and softwarized RAN introduces centralized, intelligent control through custom xApps running on the RAN controller, enabling real-time handover and beam management. However, its application to beamforming-based handovers in multi-vehicle scenarios remains underexplored. In this work, we propose three strategies to minimize handover frequency in both analog and hybrid beamforming systems, with and without relay support. We also outline a simulation framework based on NS-3 and SUMO, the traffic and mobility simulator, to evaluate the effectiveness of our proposed solutions.

Technische Universität Dresden (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Wireless Body Area Networks
0.67
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