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Mobile operators nowadays have plenty of data services, since the introduction of GPRS and this number is increasing towards future 3G LTE mobile networks. There are IP-based services which were migrated from wired to mobile networks, such as HTTP, FTP and E-mail. But, also mobile specific services were created such as WAP and MMS. On the other side, behavior of mobile services is influenced from the environment, the terrain, interference, from protocols on different OSI layers, from user behavior, etc. Therefore, mobile operators need to examine their network and be assured that services are performing well. In this paper we describe an applicative solution for Service Quality Testing System (SQTS), which provides efficient way for testing of all data services, including bearer as well as IP-based services in mobile networks from the user point of view, through a defined set of Key Performance Indicators. We define all SQTS functionalities as well as all needed networks nodes for its functioning. The proposed system is robust and scalable regarding definition of new services that will appear in future.

End-to-end quality of service in today's mobile networks is essential to end users since most of the services are non-real-time data services (primarily based on IP) which have time-varying quality over time, enduser position and other-end location. It is possible to have different quality for the same service under same mobile network conditions in the core and wireless part. Therefore, mobile operators need systems for testing and measurements of end-to-end quality of service. In this paper we present our developed system for service quality testing, which is created for testing the user perceived quality of services in mobile cellular networks. The system is consisted of distributed testing stations over the mobile network coverage area and centralized management and processing nodes, which provide collection, storage and statistical processing of data regarding the quality of service parameters for mobile data services. The system provides objective end-to-end quality of service information in real-time, which is essential to provide services with desired quality to the end users.

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Abstract:In this paper is given a performance analysis of Radio Access Technology selection (RATS) algorithmsfor Long Term Evolution -Advanced (LTE-A) heterogeneous networks. The relevant performances are analysed using atwo dimensional Markov Model. Two RATSalgotithms are applyed:the first oneis simple, based only on the availability of the small cell connection, while the second one is based on two more criteria: user mobility and network load. The performance analysis shows that better results are obtained using the features provided in LTE-A, compared to the ones in previous technologies. The RATS algorithm influences the system performances as well. The results show that using the RATS algorithm based on two more criteria provides better perfotmances than the simpler one.