An overview of the femtocell concept

Claußen, Holger; Ho, Lester; Samuel, L.G.

doi:10.1002/bltj.20292

Cited by 333 publications

(186 citation statements)

References 14 publications

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“…The occurred coverage overlap or gap events are collected by each femtocell and passed to its statistical verifier as input. For each statistical verifier, Equation (6) is implemented as the main function where its likelihood function follows Equation (1) and the probability distribution of the input data follows Equation (5). The violation of desired coverage overlap or gap threshold is used as the Null hypothesis in Equation (6).…”

Section: Discussionmentioning

confidence: 99%

“…1 shows a simple femtocell network with four femtocells jointly providing mobile signal coverage in an office area. Each femtocell uses home broadband access as a backhaul to the mobile operator's core network [5]. For a femtocell, the coverage radius R indicates its radio coverage area and the change of signal power δ is used to adjust the radius.…”

Section: Statistical Verificationmentioning

confidence: 99%

“…Femtocells [5] are cellular base stations that cover small areas of tens of meters. They are low cost and low power devices that are normally installed by consumers in homes for better indoor mobile voice and data reception [3,5].…”

Section: Introductionmentioning

confidence: 99%

“…They are low cost and low power devices that are normally installed by consumers in homes for better indoor mobile voice and data reception [3,5]. A femtocell can be considered as a wireless cellular access point, which transfers data traffic through the home broadband connection to the operator's core network.…”

Section: Introductionmentioning

confidence: 99%

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Femtocell Coverage Optimisation Using Statistical Verification

Pietzuch

2011

Networking 2011

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Abstract. Femtocells are small base stations that provide radio coverage for mobile devices in homes or office areas. In this paper, we consider the optimisation of a number of femtocells that provide joint coverage in enterprise environments. In such an environment, femtocells should minimise coverage overlap and coverage holes and ensure a balanced traffic workload among them. We use statistical verification techniques to monitor the probabilistic correctness of a given femtocell configuration at runtime. If there is any violation of the desired level of service, a self-optimisation procedure is triggered to improve the current configuration. Our evaluation results show that, compared with fixed time, interval-based optimisation, our approach achieves better coverage and can detect goal violations quickly with a given level of confidence when they occur frequently. It can also avoid unnecessary self-optimisation cycles, reducing the cost of self-optimisation.

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Section: Discussionmentioning

confidence: 99%

Section: Statistical Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Femtocell Coverage Optimisation Using Statistical Verification

Pietzuch

2011

Networking 2011

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“…For the maintenance cost of the core equipment, a fractional approach of the total CapEx is used, as done by Clausen, Ho, and Samuel (2008).…”

Section: Operational Expendituresmentioning

confidence: 99%

Municipal support of wireless access network rollout: A game theoretic approach

Tahon¹,

Lannoo²,

Ooteghem³

et al. 2011

Telecommunications Policy

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Abstract:Next generation access networks are expected to bring ubiquitous broadband access and have attracted interest of municipal governments. This paper investigates the support by municipal authorities for the rollout of such a city-wide wireless broadband access network. Different business cases for 3G and WiFi operators are developed and it is indicated how to model the specificities for commercial versus public players. Furthermore, a game theoretic approach is used to investigate the investment options of the municipal player. It is shown that a partnership between a commercial and public player is the most likely investment strategy. However, bringing more players into the competitive environment reduces the intention of the commercial partner to engage in the public private partnership (PPP).

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Toward Ultradense Small Cell Networks: A Brief History on the Theoretical Analysis of Dense Wireless Networks

Liu

Ding

2019

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article provides dives into the fundamentals of dense and ultra-dense small cell wireless networks, discussing the reasons why dense and ultra-dense small cell networks are fundamentally different from sparse ones, and why the wellknown linear scaling law of capacity with the base station (BS) density in the latter does not apply to the former. In more detail, we review the impact of the following factors on ultradense networks (UDNs), (i) closed-access operations and line-ofsight conditions, (ii) the near-field effect, (iii) the antenna height difference between small cell BSs and user equipments (UEs), and (iv) the surplus of idle-mode-enabled small cell BSs with respect to UEs. Combining all these network characteristics and features, we present a more realistic capacity scaling law for UDNs, which indicates (i) the existence of an optimum BS density to maximise the area spectral efficiency (ASE) for a given finite UE density, and (ii) the existence of an optimum density of UEs that can be simultaneously scheduled across the network to maximise the ASE for a given finite BS density.

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An overview of the femtocell concept

Abstract: The femtocell concept aims to combine fixed-line broadband access with cellular telephony using the deployment of ultra-low-cost, low-power third generation (3G)

Cited by 333 publications

References 14 publications

Femtocell Coverage Optimisation Using Statistical Verification

Femtocell Coverage Optimisation Using Statistical Verification

Municipal support of wireless access network rollout: A game theoretic approach

Toward Ultradense Small Cell Networks: A Brief History on the Theoretical Analysis of Dense Wireless Networks

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