Optimized Solutions for Deploying a Militarized 4G/LTE Network With Maximum Coverage and Minimum Interference

Antunes, Emerson de O.; Caetano, Marcos F.; Marotta, Marcelo Antônio; Araújo, Aletéia; Bondan, Lucas; Meneguette, Rodolfo I.; Filho, Geraldo P. Rocha

doi:10.1109/tnsm.2022.3160376

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…A codificac ¸ão gerada encontra-se disponível no repositório criado para divulgac ¸ão desta pesquisa 1 . • Transactions on Network and Service Management (TNSM), 2022, Qualis A1, fator de impacto 5.91 [Antunes et al 2022]. 1.…”

Section: Publicac ¸ãOunclassified

Soluções otimizadas para implantação de redes militarizadas 4G/LTE com máxima cobertura e mínima interferência

Antunes

Filho²

2023

Anais Estendidos Do XLI Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2023)

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Nesta dissertação, propomos resolver o problema de localização de cobertura máxima do Centro de Coordenação de Operações Móvel (CCOp Mv), que visa apoiar o comando operacional do Exército Brasileiro. Em razão disso, foi proposta uma modelagem analítica baseada no problema linear inteiro misto que orientou duas soluções de otimização: (i) E-ALLOCATOR – Exact ALLOCATiOn seRvice; e (ii) M-ALLOCATOR – Metaheuristic ALLOCATiOn seRvice. As soluções foram avaliadas em um cenário que emprega o CCOp Mv em apoio a uma operação de resgate baseada na tragédia de janeiro de 2019 em Brumadinho-MG e comparadas com uma heurística. Os resultados da avaliação de desempenho evidenciam eficiências em termos de qualidade e economia de recursos das duas soluções. Além disso, o E-ALLOCATOR provou ser adequado para cenários com baixa carga de trabalho, já o M-ALLOCATOR, para cenários com alta carga de trabalho, fornecendo soluções quase ótimas dentro do tempo computacional adequado para todas as instâncias do problema.

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Section: Publicac ¸ãOunclassified

Soluções otimizadas para implantação de redes militarizadas 4G/LTE com máxima cobertura e mínima interferência

Antunes

Filho²

2023

Anais Estendidos Do XLI Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2023)

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“…In a work aimed at solving the problem of poor mobile network performance problem in Brazil, a limited region with poor networking infrastructure and coverage was selected. The number of base transceiver stations (BTS) and the power they transmitted for optimal coverage of the region were then analyzed, as presented in [24].…”

Section: Related Workmentioning

confidence: 99%

Optimizing the Quality of Service of Mobile Broadband Networks for a Dense Urban Environment

Imoize,

Udeji,

Isabona

et al. 2023

Future Internet

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Mobile broadband (MBB) services in Lagos, Nigeria are marred with poor signal quality and inconsistent user experience, which can result in frustrated end-users and lost revenue for service providers. With the introduction of 5G, it is becoming more necessary for 4G LTE users to find ways of maximizing the technology while they await the installation and implementation of the new 5G networks. A comprehensive analysis of the quality of 4G LTE MBB services in three different locations in Lagos is performed. Minimal optimization techniques using particle swarm optimization (PSO) are used to propose solutions to the identified problems. A methodology that involves data collection, statistical analysis, and optimization techniques is adopted to measure key performance indicators (KPIs) for MBB services in the three locations: UNILAG, Ikorodu, and Oniru VI. The measured KPIs include reference signal received power (RSRP), reference signal received quality (RSRQ), received signal strength indicator (RSSI), and signal-to-noise ratio (SINR). Specific statistical analysis was performed, and the mean, standard deviation, skewness, and kurtosis were calculated for the measured KPIs. Additionally, the probability distribution functions for each KPI were plotted to infer the quality of MBB services in each location. Subsequently, the PSO algorithm was used to optimize the KPIs in each location, and the results were compared with the measured data to evaluate the effectiveness of the optimization. Generally, the optimization process results in an improvement in the quality of service (QoS) in the investigated environments. Findings also indicated that a single KPI, such as RSRP, is insufficient for assessing the quality of MBB services as perceived by end-users. Therefore, multiple KPIs should be considered instead, including RSRQ and RSSI. In order to improve MBB performance in Lagos, recommendations require mapping and replanning of network routes and hardware design. Additionally, it is clear that there is a significant difference in user experience between locations with good and poor reception and that consistency in signal values does not necessarily indicate a good user experience. Therefore, this study provides valuable insights and solutions for improving the quality of MBB services in Lagos and can help service providers better understand the needs and expectations of their end users.

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Boosting Federated Learning for Optimization LTE-RSRP Networks

Acuña-Avila,

Kaschel,

Zamora

et al. 2024

2024 IEEE International Conference on Automation/Xxvi Congress of the Chilean Association of Automatic Control (ICA-ACCA)

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Optimized Solutions for Deploying a Militarized 4G/LTE Network With Maximum Coverage and Minimum Interference

Cited by 4 publications

References 19 publications

Soluções otimizadas para implantação de redes militarizadas 4G/LTE com máxima cobertura e mínima interferência

Soluções otimizadas para implantação de redes militarizadas 4G/LTE com máxima cobertura e mínima interferência

Optimizing the Quality of Service of Mobile Broadband Networks for a Dense Urban Environment

Boosting Federated Learning for Optimization LTE-RSRP Networks

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