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 …

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 …

Improvement of QoS of outdoor prediction models using tuning and machine learning approach in fringe areas

A Gupta, K Ghanshala, RC Joshi - International Journal of …, 2021 - Taylor & Francis
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 …

[HTML][HTML] 2 Literature Review of Related Work and Contextualization

A Gupta, K Ghanshala, RC Joshi - journals.riverpublishers.com
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 …

[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 …