We introduce an open live multi-technology cellular network dataset derived from real, operational base stations of a commercial mobile operator in Slovakia. It provides a rare look inside live 2G, 4G and 5G Radio Access Networks (RANs) through Performance Management (PM) counters collected at 15-minute intervals and mapped to cell-level granularity. Each baseband processes multiple radio configurations, enabling multi-band and multi-generation correlation studies across real network deployments. Unlike any previously released resource, this dataset exposes real energy consumption values alongside radio and user-level performance indicators such as utilisation, Channel Quality Indicator (CQI), number of Radio Resource Control (RRC) connected and active users, uplink and downlink data volume and Multiple-Input Multiple-Output (MIMO) rank for all network cells where applicable. It supports research in energy-aware RAN optimisation, data-driven network management and cross-layer performance modelling. The dataset has been validated for internal consistency and is released under the Creative Commons Attribution (CC BY) license to foster reproducible and open telecommunications research.
A processed dataset collected over commercial 5G Non-Standalone networks in Aalborg, Denmark, using a vehicle-mounted dual-modem measurement platform is described to support reproducible research on uplink reliability, radio-to-application-layer correlation, packet duplication, link aggregation, interface switching, an...
C. S. Álvarez-Merino, Miguel Villanueva-Fernández, Alejandro Ramírez-Arroyo et al.· IEEE Data Descriptions· 0 citations
Efficient long-term network evolution is becoming increasingly critical in dense 5G-Advanced and beyond cellular systems, where persistent traffic imbalances and localized congestion pose significant challenges that conventional short-term radio resource management alone cannot fully mitigate. This paper proposes a dig...
Yukai Wang, Janghee Woo, G. Hahm et al.· International Conference on...· 0 citations
A measurement-driven, throughput-centric spatial framework to identify LTE Capacity Bottleneck Zones (CBZ) as a basis for more realistic LTE-to-5G NR NSA deployment planning, enabling a shift from coverage-centric evaluation toward targeted, throughput-aware capacity optimization for LTE-to-5G NR NSA deployment plannin...
Afrizal Yuhanef, Muhammad Putra Pamungkas, Herry Setiawan et al.· SinkrOn· 0 citations
LoRa-LQE, a link quality estimation scheme specifically designed for mobile environments, outperforms state-of-the-art solutions and achieves packet delivery ratio improvements and energy efficiency improvements, thereby enabling more reliable communication for mobile IoT assets.
Geraldo A. Sarmento, T. R. D. Da Silva, Fernando J. V. Santos et al.· Journal of Internet Services...· 0 citations
A comprehensive survey and quantitative analysis of network architectures for enabling future sixth-generation (6G) services in rural and underserved regions and identifies emerging technologies, including direct-to-device non-terrestrial access, programmable radio environments, and intelligent RAN control that are exp...
Souradeep Deb, Nishith D. Tripathi, Jeffrey H. Reed· IEEE Open Journal of the Com...· 0 citations
This research Paper focuses on an Ultra-Dense Network (UDN) is a core enabling technology for 5G and 6G wireless systems, proposed to meet escalating capacity demands and support new high-rate, low-latency services. The fundamental principle is network densification, achieved by deploying a massive number of low-power...
P. Pradhan, Pramod D Gangejar· Journal of Ad-hoc Network an...· 0 citations
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