Machine learning classifier approach with gaussian process, ensemble boosted trees, SVM, and linear regression for 5g signal coverage mapping
A Gupta, K Ghanshala, RC Joshi - IJIMAI, 2021 - dialnet.unirioja.es
This article offers a thorough analysis of the machine learning classifiers approaches for the
collected Received Signal Strength Indicator (RSSI) samples which can be applied in …
collected Received Signal Strength Indicator (RSSI) samples which can be applied in …
Mobility Improvement by Optimizing Channel Model Coverage Through Fine Tuning
A Gupta, K Ghanshala… - Journal of Cyber …, 2021 - journals.riverpublishers.com
Empirical channel models were always an important tool for proper wireless network
planning. These models consider the properties of electromagnetic waves and terrain …
planning. These models consider the properties of electromagnetic waves and terrain …
Improvement of QoS of outdoor prediction models using tuning and machine learning approach in fringe areas
Artificial Intelligence is used to increase the prediction accuracy of the empirical propagation
models by considering multivariate parameters in radio path. The mean absolute error …
models by considering multivariate parameters in radio path. The mean absolute error …
[HTML][HTML] 2 Literature Review of Related Work and Contextualization
Researchers have used the Friis Free Space Path Loss (FSPL) model to predict signal
coverage in an uninterrupted LoS path. In Tokyo, Okumura presented a model that predicts …
coverage in an uninterrupted LoS path. In Tokyo, Okumura presented a model that predicts …
[PDF][PDF] PEMODELAN PREDIKSI PATH LOSS PADA SKENARIO MODA TRANSPORTASI FREKUENSI UHF (ULTRA HIGH FREQUENCY) DENGAN MENGGUNAKAN …
B ALFARESI - repository.unsri.ac.id
Genetic Algorithm (GA) dan Particle Swarm Optimization (PSO). Pemodelan hybrid dengan
menggunakan model empiris Cost-Hatta dan 3 algoritma machine learning yaitu RF, ANN …
menggunakan model empiris Cost-Hatta dan 3 algoritma machine learning yaitu RF, ANN …