Haider K. Experience quality increasing for 4G subscribers on the basis of LTE Service Architecture Model.

The thesis solves an important and actual scientific task of improving the services QoE in networks based on LTE radio link adaptation, improvement of resource allocation and efficiency of cross-layer interaction of LTE service architecture. We analyze the main challenges is QoE and QoS assurance in wireless mobile networks of 4G class. We depict also the main techniques and methods to assure the service quality and user experience based on throughput adaptation and radio-frequency resource allocation. As a conclusion we summarized drawbacks in modern methods and formulated the goal of our research: to develop new and improve existing methods of QoS and QoE assurance in LTE network based on throughput increasing and sophisticated resource allocation. It is necessary to maintain the balance between the network capacity and bit error rate for wireless communication. This can be achieved by improving the efficiency of methods and models of resource allocation in LTE cell. The research of the standard models for network throughput, QoS and QoE improvement is performed using appropriate equalization technique, beamforming, higher channel quality indicator (CQI), and different resource allocation techniques for different services. In the thesis there is presented new model for throughput improvement considering effect of increasing number of antenna ports and number of OFDM symbols on network performance using MU-MIMO combined with SU-MIMO model. The thesis proposes the upgraded method for increasing performance of LTE downlink by means of QoS using different types of scheduling. This method allocates available resources of LTE downlink, operating under the Maximum Fairness, Max C/I Ratio and Proportional Fair Scheduling algorithms. We performed the research of network performance under video streaming by means of QoE and QoS using S-curve chosen as a model that summarizes relationship between QoE (Quality of Experience) and video transmission rate. For this purpose we designed a novel multi-layer model of group video streaming in LTE network.