Empirical Path Loss Model in City-forest Environment for Mobile Communications
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.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).