Interference-aware clustering in cloud radio access networks

Cloud Radio Access Network (C-RAN) is an evolution in base station architecture. The key concept is to break down the conventional base station into a Base Band Unit (BBU) and a Remote Radio Head (RRH). While BBUs are pooled in a cloud data center, RRHs are distributed across multiple sites. In this...

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Bibliographic Details
Published in2017 IEEE 6th International Conference on Cloud Networking (CloudNet) pp. 1 - 6
Main Authors Boulos, Karen, Helou, Melhem El, Ibrahim, Marc, Khawam, Kinda, Sawaya, Hadi, Martin, Steven
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Base stations
Cloud radio access network
Clustering algorithms
energy efficiency
Heuristic algorithms
Mobile communication
Power demand
power saving
Radio access networks
RRH clustering
Set Partitioning Problem
Throughput
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DOI10.1109/CloudNet.2017.8071536

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Summary:Cloud Radio Access Network (C-RAN) is an evolution in base station architecture. The key concept is to break down the conventional base station into a Base Band Unit (BBU) and a Remote Radio Head (RRH). While BBUs are pooled in a cloud data center, RRHs are distributed across multiple sites. In this context, resource utilization can be enhanced through statistical multiplexing: many RRHs may be clustered and associated with a single BBU. In this paper, RRH clustering is formulated as a Set Partitioning Problem, considering inter-cluster interferences. Optimal and heuristic solutions are derived to reduce network power consumption with minimum throughput requirements. Simulation results show that our interference-aware solutions outperform the no-clustering method, where only one RRH is associated with each BBU, and the interference-unaware Bin Packing algorithm. Moreover, our heuristic achieves performance very close to the optimal solution.
DOI:10.1109/CloudNet.2017.8071536