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Radio access network virtualization for future mobile carrier networks

Costa-Perez, Xavier, Swetina, Joerg, Guo, Tao, Mahindra, Rajesh, Rangarajan, Sampath·2013·IEEE Communications Magazine

Abstract

This article presents a survey of cellular network sharing, which is a key building block for virtualizing future mobile carrier networks in order to address the explosive capacity demand of mobile traffic, and reduce the CAPEX and OPEX burden faced by operators to handle this demand. We start by reviewing the 3GPP network sharing standardized functionality followed by a discussion on emerging business models calling for additional features. Then an overview of the RAN sharing enhancements currently being considered by the 3GPP RSE Study Item is presented. Based on the developing network sharing needs, a summary of the state of the art of mobile carrier network virtualization is provided, encompassing RAN sharing as well as a higher level of base station programmability and customization for the sharing entities. As an example of RAN virtualization techniques feasibility, a solution based on spectrum sharing is presented: the network virtualization substrate (NVS), which can be natively implemented in base stations. NVS performance is evaluated in an LTE network by means of simulation, showing that it can meet the needs of future virtualized mobile carrier networks in terms of isolation, utilization, and customization.

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Metadata

Authors
Costa-Perez, X., Swetina, J., Guo, T., Mahindra, R., & Rangarajan, S.
Venue
IEEE Communications Magazine
Published
2013-07
Volume
51
Issue
7
Pages
27-35
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2106247775
Cited by
288
References
0
FWCI
40.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Radio access network virtualization for future mobile carrier networks. https://app.cochat.ai/papers/10.1109/mcom.2013.6553675
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Costa-Perez, X., Swetina, J., Guo, T., Mahindra, R., & Rangarajan, S. (2013). Radio access network virtualization for future mobile carrier networks. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2013.6553675

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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.