Navegando por Assunto "Small cells"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Algoritmo de Sleep Mode para redes LTE em conectividade dual
(Universidade Federal do Pará, 2015-09-18) ARAUJO, Ivanes Lian Costa; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284
This work presents the analysis of the benefits of dual connectivity in Long Term Evo- lution (LTE) networks, and proposes a sleep mode algorithm in order to increase even more the network efficiency. Among the sleep mode algorithms for dual connectivity in literature, none makes an approach regarding the small cells backhaul capacity for the activation decision of these small cells. The lack of an appropriate sleep mode process that takes backhaul issues into consideration can lead to network bottlenecks, greater latency and packet drops. For this reason, the algorithm highlights relevant aspects in LTE networks, and quantifies the benefits obtained not only by the use of the algorithm but also by the use of the dual connectivity itself. To accomplish this goal, several simulations were performed with the software Riverbed Mode- ler, based on 3rd Generation Partnership Project (3GPP) parameters and papers from this area. The simulation results show that lower delay levels can be achieved with the use of dual con- nectivity, and even lower results can be obtained with the use of the proposed algorithm, which also contributes to a more energy efficient usage of network resources. Furthermore, results regarding backhaul traffic in the core network and among small cells are also analyzed. The results, in general, show several advantages of dual connectivity and the proposed algorithm in LTE networks.
Acesso aberto (Open Access)
Eficiência energética em redes sustentáveis: uma avaliação baseada em redes small cells e backhaul
(Universidade Federal do Pará, 2015-03-13) LOPES, Albert Richard Moraes; COSTA, João Crisóstomo Weyl Albuquerque; http://lattes.cnpq.br/0255430734381362
The use of small cells in heterogeneous networks (either 3G, 4G and 5G future) for indoor traffic has been regarded as the best solution to meet the growth of mobile traffic due to reduce network power consumption and to guarantee the high capacities. Moreover, increasing the amount of small cell deployment implies in the expansion of the backhaul network, which causes an increase on the network power consumption, and threatens the small cells gains in terms of energy. Furthermore, the energy consumption in heterogeneous network can increase considerably depending on the choice of the type backhauling. Considering this background, this work aims to provide a methodology to assess and identify possible energy consumption bottlenecks in the mobile network, considering both the wireless part as the backhaul infrastructure. The methodology considers the demand of traffic generated in the city, scenario to implementation and operation of heterogeneous networks (small cells), and dimensioning backhaul by segment (Cell Site, Hub Site e Central Office). Adopting this methodology, the study evaluates and compares three types of backhaul architecture for conventional Femtocell or Femtocell Wireless over Cable (FemtoWoC) network: Fiber-to-the-Building, Fiber-to-the-Curb e Fiber-to-the-Home. It was found that the main bottleneck in the backhaul architecture is the segment that is responsible for aggregating traffic from small cells (Cell Site). However, adopt architectures and equipment with high energy efficiency, as FemtoWoC, in the segment bottleneck reduce significantly the total power consumption in the backhaul, mainly architectures based on copper in the last mile.
Acesso aberto (Open Access)
Otimização do posicionamento de múltiplas small cells em ambientes outdoor da região amazônica utilizando enxame de partículas e polinização de flores.
(Universidade Federal do Pará, 2019-01-14) SILVA FILHO, Frederico Guilherme Santana da; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567; ARAÚJO, Jasmine Priscyla Leite de; http://lattes.cnpq.br/4001747699670004