Propagation characteristics of Managua city based on Standard Propagation Model (SPM) at 850 MHz for 3G-WCDMA systems

Martinez, Z. Oscar N.; Rodríguez, Carlos; Arias, Marvin R.

doi:10.1109/concapan.2014.7000431

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Several studies [5], [6] combine propagation models with DT measurements in order to define a realistic propagation model, each time the telecommunications operator wants. We observe that these studies use propagation models that are only applicable to specific macro or micro cells scenarios.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network

Fernandes

Clemente

Soares³

et al. 2020

IEEE Access

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One of the main concerns of telecommunications operators is related to network coverage. A weak coverage can lead to a performance decrease, not only in the user experience, when using the operators' services, such as multimedia streaming, but also in the overall Quality of Service. This paper presents a novel cloud-based framework of a semi-empirical propagation model that estimates the coverage in a precise way. The novelty of this model is that it is automatically calibrated by using drive test measurements, terrain morphology, buildings in the area, configurations of the network itself and key performance indicators, automatically extracted from the operator's network. Requirements and use cases are presented as motivations for this methodology. The results achieve an accuracy of about 5 dB, allowing operators to obtain accurate neighbour lists, optimise network planning and automate certain actions on the network by enabling the Self-Organising Network concept. The cloud implementation enables a fast and easy integration with other network management and monitoring tools, such as the Metric platform, optimising operators' resource usage recurring to elastic resources on-demand when needed. This implementation was integrated into the Metric platform, which is currently available to be used by several operators.

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Section: Introductionmentioning

confidence: 99%

Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network

Fernandes

Clemente

Soares³

et al. 2020

IEEE Access

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“…For this reason, in this paper, the SPM model [15] is improved by least squares fitting, then estimating the model parameters to achieve the power wireless private network coverage forecast requirements. After that, the proposed system fuses the satellite imagery and elevation information.…”

Section: Introductionmentioning

confidence: 99%

Design of Power Wireless Private Network Coverage Prediction System

Ai¹,

Feng²,

Wu³

et al. 2019

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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In this paper, according to the practical needs of the electric power wireless network coverage prediction, a propagation model based on real data and revised statistical prediction model (SPM) is proposed to predict the spatial field intensity distribution of the base station and improve the rationality and efficiency of the network planning and construction. The optimal parameters of SPM model parameters are obtained by least square method. On this basis, the coverage prediction with geographic information is proposed. The simulation results show that compared with SPM and LAP model, the proposed scheme can effectively analyze the signal loss intensity around the base station at any location in the map, so as to solve the signal planning problem of the base station.

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