Fixed Wireless Access (FWA) networks based on WiMAX technology provide efficient packet radio interface enabling high data transmission rates. The accurate prediction of path losses is a crucial element in the first step of network planning. This paper presents few empirical models suitable for path loss prediction in mobile as well as fixed wireless systems like WiMAX. Experimental measurements of received power for the 3.5 GHz WiMAX system are made in urban and suburban areas of Osijek, Croatia. Measured data are compared with those obtained by four prediction models: SUI model, COST 231 Hata, Macro Model and Model 9999. Analysis is made separately for location with NLOS and LOS propagation conditions. Standard deviation of the prediction error for NLOS condition is the lowest for the SUI model. The Macro Model achieved the lowest error standard deviation for LOS propagation conditions.

This paper discusses methods used in different objective video quality metrics. An experimental comparison of different objective methods is also conducted. This experiment shows the importance of video content for a subjective quality evaluation not comprised well by the objective metrics used.

▪ We have analized not only the worth of a specific temporal pooling method but also its influence on different quality metrics ▪ Proper choice of the pooling method can significantly improve prediction capability of a video quality metric ▪ The best results → pooling methods which incorporate a high influence of most degraded part of a sequence on the observers judgement, as well as that observers are strongly influenced by what they see in the last section of the sequence → exponentially-weighted Minkowski summation and the mean value of the last F frames ▪ The metric which gives frames scores in a narrow dynamic range (SSIM), the pooling method does not influence the overall sequence quality score at all