Throughput Evaluation in Actual User Distribution for Adaptive C-Ran with Crowdsourced Radio Unit

To cope with the increasing mobile traffic, a centralized radio access network (C-RAN: Centralized Radio Access Network) has been investigated. Small cells are possible to distribute the traffic and improve system capacity. However, the effect is limited since the traffic fluctuates depending on location and time of day. To overcome fluctuations in traffic demand, we have proposed an adaptive network architecture that uses crowdsourced radio units (CRUs). CRUs installed in vehicles can function as small cells, adapting to communication demand and enabling efficient traffic accommodation. This paper evaluates the throughput characteristics of the proposed scheme when using actual user distribution fluctuations. Computer simulation clarifies that using CRUs can improve throughput compared to fixed small cells when using user distribution of Tokyo station in Japan.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174431
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
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article

Throughput Evaluation in Actual User Distribution for Adaptive C-Ran with Crowdsourced Radio Unit

Kazuki Maruta, Hideya So, Yu Nakayama
Cognitive Radio Networks and Spectrum Sensing
article

Throughput Evaluation in Actual User Distribution for Adaptive C-Ran with Crowdsourced Radio Unit

Kazuki Maruta, Hideya So, Yu Nakayama
article en

Abstract

To cope with the increasing mobile traffic, a centralized radio access network (C-RAN: Centralized Radio Access Network) has been investigated. Small cells are possible to distribute the traffic and improve system capacity. However, the effect is limited since the traffic fluctuates depending on location and time of day. To overcome fluctuations in traffic demand, we have proposed an adaptive network architecture that uses crowdsourced radio units (CRUs). CRUs installed in vehicles can function as small cells, adapting to communication demand and enabling efficient traffic accommodation. This paper evaluates the throughput characteristics of the proposed scheme when using actual user distribution fluctuations. Computer simulation clarifies that using CRUs can improve throughput compared to fixed small cells when using user distribution of Tokyo station in Japan.

Kogakuin University (JP), Tokyo University of Science (JP), Tokyo University of Agriculture and Technology (JP)
Openalex Percentile: Top 69%
Cognitive Radio Networks and Spectrum Sensing
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Throughput Evaluation in Actual User Distribution for Adaptive C-Ran with Crowdsourced Radio Unit — Kazuki Maruta, Hideya So, et al. · (2025) | TGRS Research Map | TGRS