Techno-economic analysis and prediction for the deployment of 5G mobile network

Smail, Ghoul; Jia, Weijia

doi:10.1109/icin.2017.7899243

Cited by 62 publications

(47 citation statements)

References 3 publications

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“…We start the revenue modeling calculations with the forecasting estimates of the number of active 5G subscribers in the Texas State. Table 4 summarizes the results of the NLS estimation of the Simple-Logistic model parameters using (10). Figure 7 presents the results of the 5G adoption forecast, which is mildly conservative, considering that the upper limit of subscription stagnates at 36 subscribers per 100 population.…”

Section: Revenue Modeling Resultsmentioning

confidence: 99%

“…One of the recent works [10] analyzes the demand aspects of a newly proposed pricing model of 5G mobile services for the telecom operators in China. The work formulates the likely migration scenario of subscribers from the 4G mobile services to 5G mobile services and evaluates the sensitivities of data volume demand with respect to the price of the 5G mobile services [10].…”

Section: Techno-economics Of 5g Networkmentioning

confidence: 99%

“…Though there are extant studies to determine the financial viability of third and fourth generations (3G and 4G) of mobile network deployments with the help of similar techno-economic models [5], [6], for the case of Proceedings of the 51 st Hawaii International Conference on System Sciences | 2018 URI: http://hdl.handle.net/10125/50621 ISBN: 978-0-9981331-1-9 (CC BY-NC-ND 4.0) 5G, however, there are very few studies available in the literature [4], [7], [8], [9], to the best of our knowledge. The general approach in the available literature, till now, is primarily to focus on the theoretical modeling of 5G cost parameters using fictional deployment scenarios [6]- [10], without delving into the revenue and profitability aspects. These studies also restrict themselves to only evaluating the impact of infrastructure costs involved in procuring and installing the network equipment and backhaul mainly [6]- [10].…”

Section: Introductionmentioning

confidence: 99%

“…The general approach in the available literature, till now, is primarily to focus on the theoretical modeling of 5G cost parameters using fictional deployment scenarios [6]- [10], without delving into the revenue and profitability aspects. These studies also restrict themselves to only evaluating the impact of infrastructure costs involved in procuring and installing the network equipment and backhaul mainly [6]- [10]. The previous studies on 5G have also not considered the important decision variables of radio spectrum bandwidth and carrier frequency, which are crucial for modeling the technical performance and estimating the capital expenditure (Capex) incurred by the operators.…”

Section: Introductionmentioning

confidence: 99%

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Techno-Economic Analysis of 5G Deployment Scenarios involving Massive MIMO HetNets over mmWave: A Case Study on the US State of Texas

Jha¹,

Saha²

2018

Proceedings of the Annual Hawaii International Conference on System Sciences

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The fifth generation (5G) of mobile services envisages network heterogeneity, cell densification, and high spectral efficiency using Massive MIMO, operating at millimeter-wave frequencies. Accurately assessing the potential of financial returns for such a complex network poses to operators unique challenges including techno-economic analysis leading to the identification of decision variables most sensitive to the profitability parameters. Attempting to demystify their concerns, we evaluate the profitability potential for realistic 5G deployment scenarios over 28 GHz frequency in the State of Texas. Interestingly, we discover that the total cost of ownership for 5G network is about one-third of that for 4G LTE-Advanced (LTE-A) deployment, yielding estimated returns amounting to $482.14 million for the period 2020-2030. The sensitivity analyses predict profitability in 70% of the cases of 5G, against LTE-A. For operators, the crucial levers having the maximum impact on profitability are decisions pertaining to the spectrum acquisition and the pricing of services.

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Section: Revenue Modeling Resultsmentioning

confidence: 99%

Section: Techno-economics Of 5g Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Techno-Economic Analysis of 5G Deployment Scenarios involving Massive MIMO HetNets over mmWave: A Case Study on the US State of Texas

Jha¹,

Saha²

2018

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…An alternative approach would be to estimate the demand and the predicted number of users through the Bass model(Smail and Weijia, 2017). ©International Monetary Fund.…”

mentioning

confidence: 99%

Bridging the Mobile Digital Divide in Sub-Saharan Africa

Alper¹,

Miktus²

2019

IMF Working Papers

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Digital connectivity, including through the modern cellular network technologies, is expected to play a key role for the Future of Work in sub-Saharan Africa (SSA). We estimate the cost of introducing a full-scale 4G network by 2025 in SSA and an operable 5G network by 2040. We adapt the costing model of Lombardo (2019) by accounting for the significant demographic transformation and rapid urbanization in SSA. We use the WorldPop and GADM databases and the UN’s medium-variant population projections to project the population densities at the highest level of administrative division for each SSA country in 2025 and 2040. For full 4G connectivity, the required capital and operational costs stands approximately at US$14 billion by 2025 and for 5G connectivity, costs amount to US$57 billion in 2040, conditional on having the 4G in place by 2025. These costs roughly translate to 8.4 percent of annual subscriber income, on a median basis, by 2025 for 4G and 4.9 percent of subscriber income by 2040 for 5G. Having the infrastructure in place is not sufficient to bridge the mobile Digital Divide. In addition, policies are needed to address affordability and knowledge gaps.

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Preparing Emerging Markets to Participate in a New Era of Communication. A Technical and Economic Perspective

Lambrechts

Sinha

2020

Lecture Notes in Electrical Engineering

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Techno-economic analysis and prediction for the deployment of 5G mobile network

Cited by 62 publications

References 3 publications

Techno-Economic Analysis of 5G Deployment Scenarios involving Massive MIMO HetNets over mmWave: A Case Study on the US State of Texas

Techno-Economic Analysis of 5G Deployment Scenarios involving Massive MIMO HetNets over mmWave: A Case Study on the US State of Texas

Bridging the Mobile Digital Divide in Sub-Saharan Africa

Preparing Emerging Markets to Participate in a New Era of Communication. A Technical and Economic Perspective

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