ABSTRACT
Optimal performance of wireless
signal in mobile networks is the concern of many researchers in the field of
mobile communication. To this end, empirical models have been used to predict
path loss in classified environments. Prediction of signal strength received in
certain locations in wetland and dryland areas is of paramount importance in
the determination of the performance of any wireless design. First, received
signal strength and path losses in a specific radio access network (ran) within
wetland and dryland propagation environment were obtained through drive test
measurement approach. The study was implemented using Glo 4g lte network that
supports band 28 operating at 700mhz. A software to determine propagation in
wetland and dryland environment known as soup (software for outdoor
propagation) was developed as an alternative method for determining path loss
for wetland and dryland terrains. The need for a simple and cost-effective path
loss determination fuelled this development. this methodology was tested using Lagos
wetland and dryland terrains as case study for certain 4g lte networks within
the south-west Nigerian environment where data were compiled using at least two
criteria to determine the path loss. The data collected was transformed to
parameters for the input for the software, after adequate mathematical
manipulations, and it was discovered that the soup software produce the results
expected with superior performance. The measurements for this study were
collected in a typical rural, suburban and urban areas of Lagos State for the
period investigated a minimum of 880 calls per month were initiated with a
total of 10,560 calls per year for both wetland and dryland areas in the study,
for rural dryland, the average path loss varied from 92.84db to 149.72 db. For
suburban dryland, it varied from 95.8db to 152.57db, while for urban dryland
the path loss reduced to 88.94db and varied through to 149.28db. Again, for
rural wetland, the average path loss varied from 94.30db to 147.68db, for
suburban wetland environment, the average path loss varied from 96.18db to
146.56db while for urban wetland environment, the average path loss varied from
90.74db to 144.74db revealing a drop of between 3% and 5%. in this study, the
path loss exponent for rural dryland between June 2017 and may 2018 varied from
3.45db to 6.98 db. The suburban dryland path loss exponent from June 2017 to
May 2018 varied from 5.17db to 7.12db. Again, the urban dryland path loss
exponent for the same period varied from 6.37 db to 7.25 db. However, pathloss
exponent for rural wetland for the same period varied from 5.05 db to 6.69 db.
the path loss exponent for suburban wetland environment for the same period
varied from 5.43 db to 7.06 db, while for urban wetland environment for the
same period, the path loss exponent varied from 5.93 db to 7.38 db. results
show that the standard deviation for rural dryland, rural wetland, suburban
dryland, suburban wetland, urban dryland and urban wetland are 17.46 db, 19.66
db, 17.47 db, 17.61 db, 19.66 db and 18.18 db respectively. Also, the mape for
the investigated areas are 4.80%, 6.75%, 5.76%, 4.59%, 10.70% and 4.87%
respectively. The standard error of mean deviation for the various terrains are
3.90 db, 4.40 db, 3.91 db, 3.94 db, 4.40 db and 4.06 db respectively.
SHOEWU, O (2022). Development Of Pathloss Prediction Models In Outdoor Environments For Enhanced Wireless Network Coverage. Repository.mouau.edu.ng: Retrieved Dec 04, 2024, from https://repository.mouau.edu.ng/work/view/development-of-pathloss-prediction-models-in-outdoor-environments-for-enhanced-wireless-network-coverage-7-2
OMOTAYO, SHOEWU. "Development Of Pathloss Prediction Models In Outdoor Environments For Enhanced Wireless Network Coverage" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 13 Oct. 2022, https://repository.mouau.edu.ng/work/view/development-of-pathloss-prediction-models-in-outdoor-environments-for-enhanced-wireless-network-coverage-7-2. Accessed 04 Dec. 2024.
OMOTAYO, SHOEWU. "Development Of Pathloss Prediction Models In Outdoor Environments For Enhanced Wireless Network Coverage". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 13 Oct. 2022. Web. 04 Dec. 2024. < https://repository.mouau.edu.ng/work/view/development-of-pathloss-prediction-models-in-outdoor-environments-for-enhanced-wireless-network-coverage-7-2 >.
OMOTAYO, SHOEWU. "Development Of Pathloss Prediction Models In Outdoor Environments For Enhanced Wireless Network Coverage" Repository.mouau.edu.ng (2022). Accessed 04 Dec. 2024. https://repository.mouau.edu.ng/work/view/development-of-pathloss-prediction-models-in-outdoor-environments-for-enhanced-wireless-network-coverage-7-2