Self-optimization of coverage for femtocell deployments

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

doi:10.1109/wts.2008.4547576

Cited by 201 publications

(143 citation statements)

References 14 publications

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“…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%

“…Due to the predicted adoption of femtocells, researchers have begun to consider the problem of coverage optimisation [4,6,7,8]. However, all of this work focuses on single femtocell coverage optimisation for small-area residential users rather than on multiple femtocells that achieve joint coverage in large enterprise environments.…”

Section: Femtocell Coverage Optimisationmentioning

confidence: 99%

“…However, all of this work focuses on single femtocell coverage optimisation for small-area residential users rather than on multiple femtocells that achieve joint coverage in large enterprise environments. The goals are to provide good indoor coverage, preventing signals from leaking outdoors [6], and to increase the flexibility in deployment locations [7,8].…”

Section: Femtocell Coverage Optimisationmentioning

confidence: 99%

“…Providing optimal femtocell signal coverage is important to improve users' mobile usage experience as well as reduce service cost expenditure. Since femtocells are deployed by users themselves, they must also be able to self-configure all required parameters during operation with minimal user intervention [6].…”

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: Femtocell Coverage Optimisationmentioning

confidence: 99%

Section: Femtocell Coverage Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Femtocell Coverage Optimisation Using Statistical Verification

Pietzuch

2011

Networking 2011

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“…By proposing the related issues to improve coverage by regulating femtocell transmit power is researched in [6]. The maximum femtocell contention densities at a distance between macrocell BS and analytically to search the solution of coverage zones within subscribers can arrive at the QoS (quality of service) requirement are proposed in [7]. It is well known that the cell site plan is one of the impact factors for system performance of a user under a two-tier femtocell environment.…”

Section: Introductionmentioning

confidence: 99%

On Two-Tier Femtocell over Fading Environments

Chen¹,

Chuang²,

Chiu³

et al. 2011

ENG

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In this paper the system performance of an MC-CDMA (multi-carrier coded-division multiple-access) system operating over single-cell with two-tier femtocell environment is analyzed. Consider two-tier scenario is deployed with a macrocell site in which is being surrounded several femtocells, which are designed to serve a group of subscribers locate in a small coverage area such as small office, home office or a house. The coverage area is typically up to 100 meters in radius. Mostly, the femtocell is applied to serve indoor subscribers, thus, the Rayleigh fading is adopted to characterize the propagation channel. The technique of TH-MC-CDMA (time-hopped multi-carrier coded-division multiple-access) technique is supposed to transmit each symbol alternatively with fair time (slotting)/frequency (coding) for each user in the hotspots (the area around 0 th femtocell). The intensity of signals estimated at a mobile unit located in the second tie, i.e., the femtocell coverage area, is an important issue. The contribution of the paper is mainly to evaluate the system performance with both the BER (bit error rate) and OP (outage probability) according to the most important parameters, for example, the activating user number, the hopping number provided by TH-MC-CDMA system and the subcarrier number. Furthermore, the discussion of interference avoidance is also discussed with non-analytically.

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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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Self-optimization of coverage for femtocell deployments

Cited by 201 publications

References 14 publications

Femtocell Coverage Optimisation Using Statistical Verification

Femtocell Coverage Optimisation Using Statistical Verification

On Two-Tier Femtocell over Fading Environments

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

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