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Recent Progress on C-RAN Centralization and Cloudification

Open access
I, Chih-Lin, Huang, Jinri, Duan, Ran, Cui, Chunfeng, Jiang, Jesse, Li, Lei·2014·IEEE Access

Abstract

This paper presents the latest progress on cloud RAN (C-RAN) in the areas of centralization and virtualization. A C-RAN system centralizes the baseband processing resources into a pool and virtualizes soft base-band units on demand. The major challenges for C-RAN including front-haul and virtualization are analyzed with potential solutions proposed. Extensive field trials verify the viability of various front-haul solutions, including common public radio interface compression, single fiber bidirection and wavelength-division multiplexing. In addition, C-RANs facilitation of coordinated multipoint (CoMP) implementation is demonstrated with 50%-100% uplink CoMP gain observed in field trials. Finally, a test bed is established based on general purpose platform with assisted accelerators. It is demonstrated that this test bed can support multi-RAT, i.e., Time-Division Duplexing Long Term Evolution, Frequency-Division Duplexing Long Term Evolution, and Global System for Mobile Communications efficiently and presents similar performance to traditional systems.

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Metadata

Authors
I, C.-L., Huang, J., Duan, R., Cui, C., Jiang, J., & Li, L.
Venue
IEEE Access
Published
2014
Volume
2
Pages
1030-1039
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2055845120
Cited by
282
References
0
FWCI
20.52
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Recent Progress on C-RAN Centralization and Cloudification. https://app.cochat.ai/papers/10.1109/access.2014.2351411
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I, C.-L., Huang, J., Duan, R., Cui, C., Jiang, J., & Li, L. (2014). Recent Progress on C-RAN Centralization and Cloudification. IEEE Access. https://doi.org/10.1109/access.2014.2351411

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.