Femtocell Coverage Optimization Using Switched Multi-Element Antennas

Claußen, Holger; Pivit, Florian

doi:10.1109/icc.2009.5199033

Cited by 79 publications

(54 citation statements)

References 8 publications

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“…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%

“…Current femtocell optimisation methods derive the average value of overlap, gap and workload within a fixed time interval and then compare this value to a predefined threshold, known as the optimisation goal [7,9]. This approach achieves reasonable performance and adaptability using an evolving algorithm as shown in [9].…”

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: Femtocell Coverage Optimisationmentioning

confidence: 99%

Section: Femtocell Coverage Optimisationmentioning

confidence: 99%

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Femtocell Coverage Optimisation Using Statistical Verification

Pietzuch

2011

Networking 2011

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“…We note that in both [15] and [5], the use of shared frequencies is based on a fixed SINR threshold, which leads to a somewhat more restrictive sharing model. Finally, we note that interference cancellation techniques have been proposed [10,8] but remain impractical due to the difficulty of eliminating errors in the cancellation process and the cost of custom hardware [17].…”

Section: Related Workmentioning

confidence: 99%

Interference Management in Heterogeneous Networks

Singh¹,

Lentz²,

Bhattacharjee³

et al. 2013

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“…The use of multi-element antenna configuration for femtocell application was proposed in some literatures. A switch-based multi-element antenna configuration is described in [5], where switching between the antennas changes the radiation pattern of the femtocell. Another multi-element antenna structure was described with tunable attenuator in [6].…”

Section: Introductionmentioning

confidence: 99%

Cognitive closed access femtocell application using multi-element antenna

Islam

Ahmed

Singh

et al. 2015

J Wireless Com Network

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In this paper, a cognitive closed access multi-element antenna-specific femtocell protocol is presented. Femtocell is considered as the preeminent solution for indoor coverage in long-term evaluation (LTE) and LTE-advanced networks. The protocol is verified using a patch antenna for LTE network. In a vast deployment of this mini base station, unwanted handover event is considered as the major obstacle. Access control mechanism with coverage-optimized antenna pattern is one of the most promising solution to resolve this obstacle. A previously proposed microstrip four-element femtocell configuration is used to analyze the performance in user categorizing technique for closed access femtocell network. The categorization is performed using multi-layer feed forward network in neural network.The performance of the technique shows an inherent relationship between completeness of training data and error percentage. Sufficiently low error rates can be achieved by presenting about 15 training samples.

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Femtocell Coverage Optimization Using Switched Multi-Element Antennas

Cited by 79 publications

References 8 publications

Femtocell Coverage Optimisation Using Statistical Verification

Femtocell Coverage Optimisation Using Statistical Verification

Interference Management in Heterogeneous Networks

Cognitive closed access femtocell application using multi-element antenna

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