RT Journal Article
A1 Kenneth Gideon
A1 Clement Nyirenda
A1 Clement Temaneh-Nyah

PB iet
T1 Echo state network-based radio signal strength prediction for wireless communication in Northern Namibia
JN IET Communications
VO 11
IS 12
SP 1920
OP 1926
AB A method for predicting radio signal strength using echo state networks (ESNs) is proposed and applied to three different locations in Northern Namibia. This method aims at providing a better way for radio signal strength prediction, which leads to improvements in wireless communication planning, design and analysis. Its performance is compared with the support vector regression (SVR) method optimised for radio propagation modelling. Simulations are conducted in Python using propagation data measured from the three locations based on the following four performance measures: goodness of fit criteria; error measures; computation complexities; and F-test for statistical model comparison. Simulation results show that the ESN method gives a better prediction accuracy in terms of the goodness of fit criteria and the error measures; however, it is inferior to the SVR method in terms of computation complexities. In addition, results from the F-test also indicate that the ESN method provides a significantly better fit than the SVR method.
K1 radio propagation modelling
K1 wireless communication planning
K1 echo state network-based radio signal strength prediction
K1 ESN method
DO https://doi.org/10.1049/iet-com.2016.1290
UL https://digital-library.theiet.org/;jsessionid=1rmu6ome37swj.x-iet-live-01content/journals/10.1049/iet-com.2016.1290
LA English
SN 1751-8628
YR 2017
OL EN