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.
Authors
- Kazuki Maruta (ORCID: https://orcid.org/0000-0001-9635-3182)
- Hideya So (ORCID: https://orcid.org/0000-0002-5396-4458)
- Yu Nakayama (ORCID: https://orcid.org/0000-0002-6945-7055)
Institutions
- Kogakuin University (JP)
- Tokyo University of Science (JP)
- Tokyo University of Agriculture and Technology (JP)
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
- Field-Weighted Citation Impact
- 0.00