Abstract
In Malaysia, the incumbent WiMAX operator utilises the bands of 2360-2390MHz to provide broadband services. Like all Radio Frequency (RF), WiMAX is susceptible to path loss. In this paper, field strength data collected in Cyberjaya, Malaysia is used to calculate the path loss suffered by the WiMAX signals. The measured path loss is compared with the theoretical path loss values estimated by the COST-231 Hata model, the Stanford University Interim (SUI) model and the Egli model. The best model to estimate the path loss based on the path loss exponents was determined to be the COST-231 Hata model. From this observation, an optimised model based on COST-231 Hata parameters is developed to predict path loss for suburban and open urban environments in the 2360-2390MHz band. The optimised model is validated using standard deviation error analysis, and the results indicate that the new optimised model predicts path loss in both suburban and open urban environments with very low standard deviation errors of less than 4.3dB and 1.9dB respectively. These values show that the model optimisation was done successfully and that the new optimised models will be able to determine the path loss suffered by the WiMAX signals more accurately. The optimised model may be used by telecommunication providers to improve their service.
Highlights
In Malaysia, incumbent WiMAX operator Packet One Networks (P1) Sdn
When the path loss is plotted against distance (Figure3), it was shown that path loss increased as the distance between the transmitter and the receiver is increased and that the path loss at a given distance is more in open urban environments than in suburban environments
The path loss exponents found from the graphs (Figure 3) are summarized (Table 3) and compared against the theoretical path loss exponents which are calculated from the path loss models
Summary
In Malaysia, incumbent WiMAX operator Packet One Networks (P1) Sdn. Bhd. utilises the bands of 2360-2390MHz to provide broadband services. Cyberjaya’s natural suburban terrain profile has seen a rapid increase in the construction of three to four storey buildings that cater for the booming multinational companies here [Town & Country Planning Department, Malaysia, 2000]. These buildings, along with a multitude of wide roads, car parks and pedestrian pavements, have given rise to an environment which is slightly more than suburban. S. (2001) and the Egli path loss model introduced by Egli (1957) The performances of these optimised models in estimating the path loss in the 2360-2390MHz band in both suburban and open urban environments are validated using standard deviation errors analysis
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