Mobile network planning is very important as for operators to provide their services, as for end-users who want to receive best as possible quality of the mobile services. 5G standard is in progress and operators already try to develop services that could benefit from new high capacity and latency network. Operators will have the task to plan the new network, at the same time continuing to develop existing 4G network, because 5G mobile network at least, at the beginning, is meant not to replace existing 4G network, but only to compliment it by adding additional network resources for new and upgraded services. At the same time, regulatory authorities face the problem that the mobile operators and end-users tend to evaluate network quality by different parameters. Operators are mostly tended to use signal parameters, such as signal interference to noise ratio, reference signal received power and others, to evaluate and plan the network. At the same time end-users and regulatory authorities, which work to protect end-users’ rights of getting the promised services in promised quality, tend to use Quality of Service parameters and methodology to evaluate received service quality. Meantime especially important is to understand the network resource usage and received mobile service quality in urban environment, as the cities are the most populated areas, where signal propagation conditions are most complicated and use of mobile resources is rapidly growing. That is why the evaluation and finding the relationships between QoS parameters may help to develop optimal system for network and service quality evaluation both for end-users and for mobile network operators. In the scope of this research authors investigate the dependencies between QoS parameters and signal parameters at end-user premises in different mobile operator networks. As a result similarities and dependencies between different measured parameter are observed and authors provide developed measurement technique that could satisfy operators, regulatory authority and end-user needs.