Techno-economic analysis of femtocell deployment in long-term evolution networks

Frías, Zoraida; Pérez, José Pedro López

doi:10.1186/1687-1499-2012-288

Cited by 63 publications

(34 citation statements)

References 12 publications

(19 reference statements)

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“…The results presented in the paper show that in urban areas it is possible to reach up to 70% cost savings using indoor small cell deployments in place of traditional ones based on macro BSs. The works in [8,9] studied both homogenous and heterogeneous wireless architectures and assessed the impact of their backhaul network on the entire TCO. The results indicate that in HetNets the backhaul network represents a considerable portion of the TCO, while in homogeneous networks, based on macro BSs only, the backhaul cost does not affect significantly the TCO.…”

Section: Related Workmentioning

confidence: 99%

Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments

et al. 2016

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Heterogeneous networks (HetNets) have the potential to cater for the capacity requirements of mobile broadband services at reduced cost and energy consumption levels. One key aspect in HetNets is the role of the backhaul. More specifically, it is crucial for a mobile operator to understand the impact of specific technological and architectural upgrades in the mobile backhaul network on the capital and operational expenditure (i.e., CAPEX and OPEX). This paper proposes a comprehensive methodology that can be used to analyze the total cost of ownership of a number of backhaul options based on fiber, microwave, and copper technologies. The study considers both a Greenfield and a Brownfield scenario and takes into account the mobile broadband capacity requirements for the time period between years 2015 and 2025. From the results presented in the paper it can be concluded that even though microwave and fiber will be predominately used in the future, the possible migration paths leading to such fiber-and microwave-based backhaul scenarios might be different, depending upon factors such as spectrum and license costs, time to deployment, availability of equipment, and required quality of service levels.

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Section: Related Workmentioning

confidence: 99%

Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments

et al. 2016

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“…We base our techno-economic analysis to the references [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] covering the various aspects of cost-efficient capacity expansion strategies of HetNets using multi-RAT or multi-BS/AP solutions. We particularly base our incremental cost analysis with non-steady state traffic conditions based on [9,17,23].…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, authors in [9] consider two traffic growth scenarios (a conservative and high growth) across the years and [17] and [23] single traffic growth scenarios, by what obtained results for the aggregated incremental cost are more limited from the differentiation point of view. Furthermore, most of the results presented in these papers are based on the use of microwave frequency bands higher than 800 MHz [20] and lower than 2.6 GHz bands and the use of system bandwidth ranging from 5 MHz, 10 MHz [23], 15 MHz, [9], and up to maximum 20 MHz, [13,14,17]. Here, we focus on various types of RATs that enable very high spectral efficiency over carriers having bands ranging from 500 MHz to more than 2.0 GHz in mmW spectrum frequency bands, and those below 800 MHz and up to 2.6 GHz in the microwave segment, with the use of carrier aggregation functionality.…”

Section: Related Workmentioning

confidence: 99%

“…We consider the BS equipment, BS (site) installation & buildout, backhaul transmission equipment and Radio Network Controller (RNC) equipment as BS related CAPEX items and electric power, operation & maintenance, site lease and backhaul transmission lease as BS related OPEX items. We base our cost structure modelling to the methodology developed in [9,15,21,22]. The total network cost comprising of radio access network (C RAN ) related costs, business-driven (C BUS/COM ) costs and costs for spectrum license (C SPEC ) normalized per unit area (А SYS ), can be presented as follows:…”

Section: Incremental Cost Modelingmentioning

confidence: 99%

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Incremental Deployment Aspects of beyond 4G and 5G Mobile HetNets

Nikolikj

Janevski

2015

IJFGCN

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“…Network dimensioning aims at calculating the optimal number of network elements, which fulfill the requirements summarized by the service drivers in the service area at minimal total costs [34]. The network architecture considered in this study is described above.…”

Section: Network Dimensioningmentioning

confidence: 99%

Insights in the cost of continuous broadband Internet on trains for multi-service deployments by multiple actors with resource sharing

Naudts

Ooteghem

Verbrugge

et al. 2014

J Wireless Com Network

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The economic viability of broadband Internet services on trains has always been proved difficult, mainly due to a high investment cost and low willingness to pay by train passengers, but also due to unused opportunities such as non-passenger services (e.g. train performance monitoring, crew services) and optimization of the resources consumed to offer Internet services. Evaluating opportunities to improve the return on investment is therefore essential towards profitability of the business case. By efficiently sharing resources amongst services, costs can be pooled over several services in order to reduce the investment cost per service. Current techno-economic evaluation models are hard to apply to cost allocation in a multi-service deployment with multiple actors and resource sharing. We therefore propose a new evaluation model and apply it to a deployment of Internet services on trains. We start with a detailed analysis of the technical architecture required to provide Internet access on trains. For each component, we investigate the impact by the different services on resource consumption. The proposed technoeconomic evaluation model is then applied in order to calculate the total cost and allocate the used and unused resources to the appropriate services. In a final step, we calculate the business case for each stakeholder involved in the offering of these services. This paper details the proposed model and reports on our findings for a multi-service deployment by multiple actors. Results show important benefits for the case that considers the application of resource sharing in a multi-service, multi-actor scenario and the proposed model produces insights in the contributors to the cost per service and the unused amount of a resource. In addition, ex-ante insights in the cost flows per involved actor are obtained and the model can easily be extended to include revenue flows to evaluate the profitability per actor. As a consequence, the proposed model should be considered to support and stimulate upcoming multi-actor investment decisions for Internet-based multi-service offerings on-board trains with resource sharing.

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Techno-economic analysis of femtocell deployment in long-term evolution networks

Cited by 63 publications

References 12 publications

Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments

Cost- and energy-efficient backhaul options for heterogeneous mobile network deployments

Incremental Deployment Aspects of beyond 4G and 5G Mobile HetNets

Insights in the cost of continuous broadband Internet on trains for multi-service deployments by multiple actors with resource sharing

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