Techno‐economic and Business Feasibility Analysis of 5G Transport Networks

Yaghoubi, Forough; Mahloo, Mozhgan; Wosinska, Lena; Monti, Paolo; Farias, Fabricio; Costa, Joao C. W. A.; Chen, Jiajia

doi:10.1002/9781119491590.ch13

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…The process of measuring change in key output metrics can depend on either a limited number of incremental values or ideally by using a full Monte Carlo analysis using continuous distributions. For example, using a techno-economic model of 5G transport networks the sensitivity of the TCO is explored in relation to energy prices, antenna prices, leasing prices and the quantity of available reusable civil infrastructure [130], [150]. It is also common to include sensitivity analysis of the key radio engineering parameters, such as for (i) propagation losses resulting from shadowing and wall penetration [136], or (ii) the ability for 5G networks to cache content to reduce traffic demand [151].…”

Section: Modeling Techniquesmentioning

confidence: 99%

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Oughton

Lehr

2022

IEEE Access

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Section: Modeling Techniquesmentioning

confidence: 99%

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Oughton

Lehr

2022

IEEE Access

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“…In this direction, the article [19] provided a review of critical problems related to the market factors for 5G rollout in the UK. In [20], a framework for the techno-economic market analysis of network backhaul has been proposed. The proposed framework can be used to study the total cost of ownership (TCO) of a network backhaul and business feasibility of the 5G network deployment aspects.…”

Section: G Rollout In the United Kingdommentioning

confidence: 99%

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

et al. 2020

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The capacity and coverage requirements for 5G and beyond wireless connectivity will be significantly different from the predecessor networks. To meet these requirements, the anticipated deployment cost in the UK is predicted to be in between £30bn-£50bn, whereas the current annual capital expenditure (CapEX) of the mobile network operators (MNOs) is £2.5bn. This prospect has vastly impacted and has become one of the major delaying factors for building the 5G physical infrastructure, whereas other areas of 5G developments are progressing at their speeds. Due to the expensive and complicated nature of the physical network infrastructure and spectrum, the second-tier operators, widely known as mobile virtual network operators (MVNO), are entirely dependent on the MNOs. In this paper, an extensive study is conducted to explore the possibilities of reducing the 5G deployment cost and developing business models. This study suggests that the use of existing public infrastructure (e.g., streetlights, telephone poles, etc.) has a great potential to contribute to a reduction of about 40% to 60% anticipated cost for the 5G network. This paper also reviews the recent Ofcom initiatives to release location-based licenses of the 5G-compatible radio spectrum at a nominal cost. Our study suggests that simplification of infrastructure and spectrum will encourage the exponential growth of scenario-specific cellular networks and will potentially disrupt the current business models of telecommunication business stakeholders -specifically MNOs and TowerCos. These scenario-specific networks are expected to be: a) private networks, b) community networks, and c) microoperators. Furthermore, due to the feasibility of dense device connectivity with 5G, the resolution of traditional and nontraditional data availability will increase significantly. This will encourage extensive data harvesting as a business opportunity and function within small and medium-sized enterprises (SMEs) as well as within large social networks. Consequently, the rise of new infrastructures and spectrum stakeholders is anticipated. This will fuel the development of a 5G data exchange ecosystem where data transactions are deemed to be high-value business commodities. The privacy and security of such data, as well as definitions of the associated revenue models and ownership, are challenging areas -and these have yet to emerge and mature fully. In this direction, this paper proposes the development of a unified data hub with layered structured privacy and security along with blockchain and encrypted off-chain based ownership/royalty

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Next-G Wireless: Learning from 5G Techno-Economics to Inform Next Generation Wireless Technologies

Oughton

Lehr

2021

SSRN Journal

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Techno‐economic and Business Feasibility Analysis of 5G Transport Networks

Cited by 3 publications

References 27 publications

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

Surveying 5G Techno-Economic Research to Inform the Evaluation of 6G Wireless Technologies

The Potential Short- and Long-Term Disruptions and Transformative Impacts of 5G and Beyond Wireless Networks: Lessons Learnt From the Development of a 5G Testbed Environment

Next-G Wireless: Learning from 5G Techno-Economics to Inform Next Generation Wireless Technologies

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