Abstract
The feasible choice of a propagation model for a given wireless system depends on environment type among other factors. Thus, it is a crucial decision on radio network planning. This current proposal is a new methodology applied for LTE systems that includes: to find optimal parameters of a propagation model that minimizes RMS error and maximizes grey relation grade and mean absolute percentage error, (GRG- MAPE) in a city-forest environment through the use of meta- heuristic optimization such as Cuckoo Search (CS). The results, quantitatively analysed by RMS error and GRG-MAPE, shows a better accuracy of optimized model in comparison with the original version and even with SUI model.
Highlights
The birth of LTE (Long Term Evolution) technology, the fourth generation (4G), and the widespread use of smartphones and tablets, have driven a massive increase in the amount of mobile data traffic
Orange color always represents the data processed in the University of Para (UFPA) original propagation model; the yellow color represents the data processed with adjustment using Cuckoo Search (CS) algorithm
The comparison of the results found with classic Stanford University Interim (SUI) model and default UFPA model is done through metrics Root Mean Square Error (RMSE) and Grey Relation Grade and Mean Absolute Percentage Error (GRG-MAPE)
Summary
The birth of LTE (Long Term Evolution) technology, the fourth generation (4G), and the widespread use of smartphones and tablets, have driven a massive increase in the amount of mobile data traffic. This high use increased the amount of the studies related to the propagation models for LTE systems, but there is still a gap to take into account. The LTE is part of the solution to provide high speed data transfer, being integrated with Wireless Local Area Network as part of the fifth generation (5G) technology [1]. Some specific characteristics will help network providers to transition from 4G to 5G without impacting customers
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