Genetic algorithms to optimize base station sitting in WCDMA networks

Erradi, Najat; Aknin, Noura; Alami, Fadoua Thami; Moussaoui, Ahmed

doi:10.14569/ijacsa.2013.040333

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Nuevos trabajos de investigación aplicando algoritmos genéticos toman aspectos específicos del problema, tales como el control de potencia de los transmisores [16] o la asignación de frecuencias para las redes de tipo WCDMA [12].…”

Section: Introductionunclassified

Aplicación y evaluación de diferentes algoritmos genéticos canónicos en el diseño eficiente de redes de radio frecuencia en comunicaciones inalámbricas

Molina¹,

Pandolfi²,

Villagra³

2014

ICTUNPA

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La difusión de servicios inalámbricos de comunicación (telefonía, internet, etc) es cada vez mayor en la actualidad. El costo de los equipamientos necesarios para brindar el servicio con calidad adecuada es elevado. La selección de un conjunto de puntos geográficos que permitan una cobertura óptima de una señal de radio frecuencia minimizando uso de recursos es fundamental. A esta tarea se la denomina diseño de la red de radio y es un problema NP – duro de optimización, por lo tanto, es factible de ser tratado con metaheurísiticas. Las metaheurísiticas son métodos que integran procedimientos de mejora local y estrategias de alto nivel para realizar una búsqueda robusta en el espacio del problema.El presente trabajo propone analizar y evaluar la capacidad de tres algoritmos genéticos canónicos de encontrar una solución aceptable mediante una función objetivo que combina el grado de cobertura del terreno y el uso eficiente de recursos en diferentes escenarios poblacionales. Los resultados obtenidos son promisorios.

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Section: Introductionunclassified

Aplicación y evaluación de diferentes algoritmos genéticos canónicos en el diseño eficiente de redes de radio frecuencia en comunicaciones inalámbricas

Molina¹,

Pandolfi²,

Villagra³

2014

ICTUNPA

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Feasibility of Green Network Deployment for Heterogeneous Networks

Al-Samawi

Sali

Noordin

et al. 2016

Wireless Pers Commun

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Green technology is a new term which is used to describe the energy efficient technologies. The main aim of the energy efficient technology is to reduce the total energy consumption while maintaining the functionality and quality of the respective technology. In the context of mobile communications technology, complying with the green technology strategy is a challenge. This is because of the tradeoff between the Quality of Service (QoS) provided and the total energy used in the transmission. Reducing the transmission energy may cause degradation in the QoS, more distinctively, in dense areas. This paper explores the possibility of achieving the green technology goal in planning and deployment of the Long Term Evolution (LTE) mobile network. A real scenario from operators in Kuala Lumpur, Malaysia is used for the purpose of the investigation. Pathloss estimation is based on ERICSSON 999 method and the region of interest is represented as Digital Terrain Map (DTM). The planned base station locations, transmission power and heights are provided by the operator. Genetic Algorithm is developed to estimate the base station parameters for more energy efficient LTE network deployment. Results show that a remarkable energy saving of about 26% of the operator transmission power could be achieved by selecting the appropriate base station parameters in planning stage while maintaining the QoS of the network.

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Proposed Base-Station Location Optimization with Genetic Algorithm Scheme for Lte Network Radio Planning

Jaafar

Hamza

Al-Salihi

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Long-term evolution (LTE) is used widely in inefficient network technologies which serve billions of users. These technologies have the following features like higher bandwidth, high spectrum efficiency and less latency. This paper proposes minimizing the cost of a cellular network, which usually includes the optimum selection and base-station locations that meet certain capacity and coverage constraints. In the LTE wireless network framework, coverage and capacity planning are interrelated in terms of interference. Moreover, the ever-increasing capacity demand for non-uniformly distributed users makes base station location optimization an important action. This paper adopts one type of improvement, which is a genetic algorithm-based methodology that optimally performs the task of base-stations location by minimizing the cost of the network while fulfilling the coverage and capacity criteria planning by using ATDI ICS TELECOM. Reducing 19.95% of the overlap of the area will result in good coverage of the proposed GA thus, improving efficiency of the network.

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Genetic algorithms to optimize base station sitting in WCDMA networks

Cited by 5 publications

References 4 publications

Aplicación y evaluación de diferentes algoritmos genéticos canónicos en el diseño eficiente de redes de radio frecuencia en comunicaciones inalámbricas

Aplicación y evaluación de diferentes algoritmos genéticos canónicos en el diseño eficiente de redes de radio frecuencia en comunicaciones inalámbricas

Feasibility of Green Network Deployment for Heterogeneous Networks

Proposed Base-Station Location Optimization with Genetic Algorithm Scheme for Lte Network Radio Planning

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