Dependence between Signal Parameter Values and Perceived Internet Access Service QoS in Mobile Networks

Many National regulatory authorities are making measurements of mobile internet access service Quality of Service parameters, but only some of them measure and evaluate signal parameters of the network in the Quality of Service (QoS) measurement location. Although measurement of signal parameters is not obligatory for NRAs, it should be considered that signal parameters are important for mobile network operators for finding faults in network installations.Especially important relation between the throughput and signal parameters is in 5G networks in regard to coverage examination, where throughput is directly related to the Signal interference noise ratio (SINR) parameter values reported by the user equipment. In 5G case uplink channel quality of the user equipment can be indicated by SINR, but to test it, relation between other indicators such as reference signal receive power and transmit power of user equipment should be calculated. Relation and dependency between signal parameter values and Quality of Service parameters values should be evaluated from the regulatory perspective, as for choosing the appropriate measurement geographical location, as for further information for the operators, indicating the possible problems in the networks in specific geographical location and suggesting appropriate solution. The research explores the relation between signal parameter values and Quality of Service parameters values under different circumstances and in different frequency bands, defining the dependency between the values of different parameters in LTE mobile networks. The statistical data used in the research has been gathered by making the practical measurements in the different geographical locations in different mobile electronic operators’ networks, to ensure, that the results are applicable for different service providers networks, which have different policies and technical equipment. The approach for evaluating the dependency between different parameter values can be applied to practical on site measurements of the 5G networks for different mobile network operators.