… the proposed DL method for radio propagation prediction and compare them to existing …
improved model for path loss prediction for use in mobile communication systems based on …

… Zibar, and HL Christiansen, “Model-aided deep learning method for path loss prediction
in mobile communication systems at 2.6 ghz,” IEEE Access, vol. 8, pp. 7925–7936, 2020. …

… Due to the complex radio environment, the traditional wireless propagation models need
massive … a wireless propagation method to predict path loss. We use the random forest network …

… communication system operating at 1800 to 2000MHz. This model is derived from Hata model
and depends upon four parameters for prediction of propagation loss: … The path loss using …

… In order to predict the signal strength inside a cell and the … link design, we need a path loss
prediction formula that has a range of … wireless LAN services in addition to traditional cellular …

… For the new generation of mobile networks, innovative prediction models with extended …
The goal of this paper is to analyze six different path loss prediction models: free space, …

… ANNs for radio wave path loss predictions can be compared to … to predict the path loss for
different propagation scenarios, … structure for the application of path loss prediction utilising the …

… PREDICTION AND SENSITIVITY PERFORMANCE This section investigates the prediction
accuracy and sensitivity of the three path loss … future wireless communication system design (…

… area for mobile communication systems. The … path loss models that can predict path loss
in an urban area. This particular model mainly covers the typical mobile communication system …

… to develop precise prediction models, since a possible under or overestimation of the path
loss could compromise the planning procedure [3]. In essence, path loss prediction can be …