Optimal model for path loss predictions using feed-forward neural networks
In this paper, an optimal model is developed for path loss predictions using the Feed-
Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in …
Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in …
[HTML][HTML] Path loss predictions for multi-transmitter radio propagation in VHF bands using Adaptive Neuro-Fuzzy Inference System
Path loss prediction is an important process in radio network planning and optimization
because it helps to understand the behaviour of radio waves in a specified propagation …
because it helps to understand the behaviour of radio waves in a specified propagation …
Outdoor path loss predictions based on extreme learning machine
SI Popoola, S Misra, AA Atayero - Wireless Personal Communications, 2018 - Springer
In a typical outdoor environment, the propagation of radio waves is usually random in
nature, to the extent that the characterization of the wireless channel often becomes very …
nature, to the extent that the characterization of the wireless channel often becomes very …
[HTML][HTML] Path loss dataset for modeling radio wave propagation in smart campus environment
SI Popoola, AA Atayero, OD Arausi, VO Matthews - Data in brief, 2018 - Elsevier
Path loss models are often used by radio network engineers to predict signal coverage,
optimize limited network resources, and perform interference feasibility studies. However …
optimize limited network resources, and perform interference feasibility studies. However …
Standard propagation model tuning for path loss predictions in built-up environments
This paper provides a simple optimization procedure using ATOLL planning tool for
Standard Propagation Model (SPM). Measurement campaigns were conducted to collect …
Standard Propagation Model (SPM). Measurement campaigns were conducted to collect …
[HTML][HTML] Received signal strength and local terrain profile data for radio network planning and optimization at GSM frequency bands
SI Popoola, AA Atayero, N Faruk - Data in brief, 2018 - Elsevier
The behaviour of radio wave signals in a wireless channel depends on the local terrain
profile of the propagation environments. In view of this, Received Signal Strength (RSS) of …
profile of the propagation environments. In view of this, Received Signal Strength (RSS) of …
[PDF][PDF] Calibrating the standard path loss model for urban environments using field measurements and geospatial data
SI Popoola, AA Atayero, N Faruk… - Proceedings of the …, 2017 - academia.edu
Path loss model is essential to achieving a successful cellular network planning and
deployment. Despite the benefits derived from models that have become standard and are …
deployment. Despite the benefits derived from models that have become standard and are …
[HTML][HTML] Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment
SI Popoola, AA Atayero, OA Popoola - Data in brief, 2018 - Elsevier
Empirical models are most widely used for path loss predictions because they are simple,
easy to use, and require less computational efficiency when compared to deterministic …
easy to use, and require less computational efficiency when compared to deterministic …
[HTML][HTML] Improving signal-strength aggregation for mobile crowdsourcing scenarios
Due to its huge impact on the overall quality of service (QoS) of wireless networks, both
academic and industrial research have actively focused on analyzing the received signal …
academic and industrial research have actively focused on analyzing the received signal …
Penetration depth analysis of UMTS networks using received signal code power
This paper examines the coverage of three UMTS networks in Calabar, using the received
signal code power (RSCP). A drive test conducted with the aid of a TEMS investigation …
signal code power (RSCP). A drive test conducted with the aid of a TEMS investigation …