Cost-Efficient Public-Cloud BBU Deployment via Peak-Hitching Mapping for 5G C-RAN

IEEE Wireless Communications Letters 2026

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Authors: Yue Yang, Hongyun Zheng, Ruiliang Song, Naibo Zhang, Haipeng Zhang
DOI: 10.1109/lwc.2026.3670126
Cited by: 0
References: 17

Abstract

This letter presents the Peak-Hitching VM framework for 5G C-RAN vBBU cost optimization. Targeting the core cost driver of overflow penalty, its key PHvM algorithm exploits RRH burst asynchrony to realize offline joint optimization of vBBU count, capacity, and mapping with O (NlogN) complexity. Extended online, it uses historical traffic for near-optimal provisioning. Evaluated on real-world traces, offline PHvM cuts costs by up to 69%vs. baselines, with Online-PHvM only 5% away from offline truth. It validates the first framework bridging spatial RRH grouping with temporal cloud billing.

Fields of Study & Subjects

Cloud Computing and Resource Management Software-Defined Networks and 5G IoT and Edge/Fog Computing

Publication details

Journal / source
IEEE Wireless Communications Letters
Volume
15
Pages
2060–2064
Publication date
1 January 2026
Language
EN