Femtocell deployment in LTE-A networks: A sustainability, economical and capacity analysis

Vaz, Filipe; Sebastião, Pedro; Gonçalves, Luís Jorge; Correia, Américo

doi:10.1109/pimrc.2013.6666740

Cited by 5 publications

(5 citation statements)

References 9 publications

(14 reference statements)

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“…An additional averaging is obtained by applying 100 iterations for each value of u s . ρ s is then obtained from ρ nom s according to Equations (6). The instances consider a 4 km 2 square area (A) populated by 20000 users.…”

Section: Resultsmentioning

confidence: 99%

“…The work in [5] provides a benchmark-based model that delivers high-quality cost estimates for alternative delivery options of the MNO processes such as "regionalization", "centralization" and "outsourcing". Vaz et al propose a framework to evaluate the performance of heterogeneous network deployment patterns in terms of net present value, capacity, coverage, and carbon footprint [6].…”

Section: Related Workmentioning

confidence: 99%

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Evaluating the performance of infrastructure sharing in mobile radio networks

Cano

Capone

Carello

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-This work considers the strategic situation which arises when Mobile Network Operators (MNOs) coexisting in a given geographical area have to decide whether to invest in new radio access technology and whether to share the investment (and the infrastructure) with other operators. We focus on heterogeneous networks (HetNet) where MNOs add a layer of small cells to their existing macro cells. We address such strategic scenario by proposing a Mixed Integer Linear Programming formulation of the infrastructure sharing problem which takes as input techno-economic parameters as the achievable throughput in different sharing configurations, the pricing models for the service offered to the end users and the expectations on the return on investment for the mobile operators, and returns as output the "best" infrastructure/investment sharing options for the MNOs. The proposed formulation is finally leveraged to analyze the dynamics involved in the infrastructure sharing process under different techno-economic conditions in realistic network scenarios.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Evaluating the performance of infrastructure sharing in mobile radio networks

Cano

Capone

Carello

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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“…Several authors have addressed the gains of particular infrastructure and/or spectrum sharing scenarios in terms of network performance metrics, such as throughput, coverage probability etc. (see e.g., [71,114,139,145]) and/or economic ones such as CAPEX/OPEX reduction (see e.g., [67,75,80,106]). The common approach is to benchmark such scenarios against the baseline case when no sharing takes place and the involved MNOs build individual networks instead.…”

Section: Performance Evaluationmentioning

confidence: 99%

On the evolution of infrastructure sharing in mobile networks: A survey

Sansò¹,

Cano²,

Capone³

2020

ITU J-FET

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Infrastructure sharing for mobile networks has been a prolific research topic for more than three decades now. The key driver for Mobile Network Operators to share their network infrastructure is cost reduction. Spectrum sharing is often studied alongside infrastructure sharing although on its own it is a vast research topic outside the scope of this survey. Instead, in this survey we aim to provide a complete picture of infrastructure sharing both over time and in terms of research branches that have stemmed from it such as performance evaluation, resource management etc. We also put an emphasis on the relation between infrastructure sharing and the decoupling of infrastructure from services, wireless network virtualization and multi-tenancy in 5G networks. Such a relation reflects the evolution of infrastructure sharing over time and how it has become a commercial reality in the context of 5G.

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“…Low power cellular base stations are often referred to as 'femtocells'; these are similar to home wifi hubs, are relatively inexpensive and can overlay an existing cellular network. Femtocells provide 4G, and will eventually provide 5G, coverage to user devices hence allowing for better network capacity and coverage in areas where it is currently poor or absent (Cheung et al, 2012;Vaz et al, 2013). Networks employing femtocells take advantage of the fact that more than 50% of all voice calls and more than 70% of data traffic originates indoors.…”

Section: Introductionmentioning

confidence: 99%

How close is the nearest node in a wireless network?

Middleton

Járai

Dawes

et al. 2020

IMA Journal of Applied Mathematics

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The ability of small-cell wireless networks to self-organize is crucial for improving capacity and performance in modern communication networks. This paper considers one of the most basic questions: what is the expected distance to a cell’s nearest neighbour in a spatially distributed network? We analyse a model problem in the asymptotic limit of large total received signal and compare the accuracy of different heuristics. We also analytically consider the effects of fading. Our analysis shows that the most naive heuristic systematically underestimates the distance to the nearest node; this is substantially corrected in cases of interest by inclusion of the next-order asymptotic term. We illustrate our theoretical results explicitly or several combinations of signal and path loss parameters and show that our theory is well supported by numerical simulations.

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Femtocell deployment in LTE-A networks: A sustainability, economical and capacity analysis

Cited by 5 publications

References 9 publications

Evaluating the performance of infrastructure sharing in mobile radio networks

Evaluating the performance of infrastructure sharing in mobile radio networks

On the evolution of infrastructure sharing in mobile networks: A survey

How close is the nearest node in a wireless network?

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