2026-06-03T17:25:36Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/449082026-01-27T00:46:02Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Sánchez Martín, Joaquín Manuel
author
Toril-Genovés, Matías
author
Gijón Martín, Carolina
author
Luna-Ramírez, Salvador
author
García-Corrales, Celia
2026-01-26T18:00:00Z
2025-10-03
J. M. Sánchez-Martín, M. Toril, C. Gijón, S. Luna-Ramírez and C. García-Corrales, "Remote Radio Head Clustering in 5G HetNets by Graph Partitioning," in IEEE Open Journal of Vehicular Technology, vol. 6, pp. 2876-2890, 2025, doi: 10.1109/OJVT.2025.3617526. keywords: {Intercell interference;Throughput;Planning;Partitioning algorithms;Resource management;Base stations;5G mobile communication;Power demand;Interference;Graph theory;Cloud-RAN;base band unit;coordination sets;graph partitioning;multi-connectivity},
https://hdl.handle.net/10630/44908
10.1109/OJVT.2025.3617526
In 5G cellular systems, network densification is a key technique to cope with the strong increase
of traffic volume in mobile communications. The deployment of indoor small cells offloads macrocells at the
cost of increasing network complexity. In this work, a methodology for planning Centralized-Radio Access
Networks (C-RANs) comprising macrocells and small cells is proposed. The aim is to group Radio Remote
Heads (RRH) into Base Band Unit (BBU) pools and coordination sets (a.k.a. BBU planning) to maximize
user throughput. To this end, the above assignment problem is formulated as a graph partitioning problem,
which is solved by graph theory algorithms. Method assessment is carried out by using a radio planning
tool that implements a novel analytical system model to check spectral efficiency and resource allocation.
Different BBU planning strategies are first compared, and the impact of Inter-Cell Interference Coordination
(ICIC), Coordinated Multi-Point Transmission/Reception (CoMP) and Multi-Connectivity (MC) on
network performance with the best BBU plan is then assessed under different system loads and coordination
constraints. Results show that the selection of a proper graph partitioning scheme for RRH clustering is key
to ensure that the above schemes improve system capacity in heterogeneous environments.
eng
Sistemas de comunicaciones móviles
Procesado de señales
Remote Radio Head Clustering in 5G HetNets by Graph Partitioning.
journal article
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