Cooperative Base Station Switching Off in Multi-Operator Shared Heterogeneous Network

Oikonomakou, Maria; Antonopoulos, Angelos; Alonso, Luis; Verikoukis, Christos

doi:10.1109/glocom.2014.7417231

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…In [24], the potential of infrastructure and spectrum sharing is studied in the light of specific spatial characteristics of multi-operator networks, such as clustering, which is often found in real-world deployments [6]. On the operational side of network sharing, [25] shows that MNOs can achieve significant energy savings by jointly switching off BSs in multi-operator networks while guaranteeing quality-ofservice (QoS) to users. Allowing operators to jointly manage their networks can also increase effectiveness by curbing idle capacity while minimising associated expenditures [26].…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

Gomes

Kibiłda

Farhang

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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A key distinction between today's and future networks is the appetite for reliable communication to support emerging critical-communication services. In this paper, we study multi-operator connectivity as a form of redundancy to support the design of reliable networks and investigate its trade-offs. This approach is motivated by 3GPP standardisation initiatives of dual-connectivity and similar techniques in industrial wired networks. We deploy a risk awareness performance metric to assess reliability: this superquantile metric accounts for periods of connectivity shortfalls. Our analysis shows that multi-operator connectivity brings significant reliability gains, in particular when network deployments by different operators exhibit high complementarity in coverage. We also explore the effects of multi-connectivity on spectral efficiency in times of high demand for bandwidth. Our study is based on a real-world dataset comprising signal strength indicators of three mobile operators in Dublin, Ireland.

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Section: Related Work and Contributionsmentioning

confidence: 99%

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

Gomes

Kibiłda

Farhang

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

Doorgakant,

Fowdur

2023

Preprint

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A considerable rise in the conventional trajectory of energy consumption is expected to be introduced by 5G which already consumes four times more energy than 4G. Consequently, energy efficiency is a major concern in 5G in contrast to earlier generations due to the further densification of cells. This paper proposes end-to-end power models for three different 5G RAN deployment architectures, namely the 5G distributed RAN, the 5G centralised RAN with dedicated hardware and the 5G Cloud Centralised-RAN. The end-to-end modelling of the power consumption of a complete 5G system is obtained by combining the power models of individual components such as the Base Station, the Core Network, front-haul, mid-haul and backhaul links, as applicable for the different architectures. The variation of the end-to-end power consumption of the 5G networks against key dependent parameters is analysed. The apportionment of power consumption at the different segments of the 5G networks is also calculated and discussed. It was found that the Decentralised 5G scenario had the highest power consumption of the three models analysed. On the other hand, the Centralised 5G and the 5G Cloud C-RAN consumed 12% and 20% less power respectively as compared to the Decentralised solution. Moreover, calculations demonstrated that the power consumption attributed to Base Stations varied between 74–78% of the Global 5G network power consumption. Thus, this study provides valuable insights for understanding the power consumption of various 5G architectures thereby laying the foundation for their sustainable deployment.

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Cooperative Base Station Switching Off in Multi-Operator Shared Heterogeneous Network

Cited by 2 publications

References 16 publications

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

Multi-Operator Connectivity Sharing for Reliable Networks: A Data-Driven Risk Analysis

Derivation and Comparative Analysis of End-To-End Power Models for 5G RAN Architectures

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