Qos Performance Analysis : Design And Development Of Voice And Video Mobility Over Long Term Evaluation (Lte) Model
Abstract: The evolution of 3G systems has contributed to a significant amount of progress towards 4th generation wireless technology, Long Term Evolution (LTE). On the other hand, demand for more bandwidth has been evidenced by the ever growing usage of real-time application such as video conference. For instance, users tend to have reliable and efficient connection when they are on the go maintaining the minimum quality of the video conference. In order to meet these challenges, QoS of LTE makes it an ideal solution. A simplified IP-based system architecture and introduction of Orthogonal Frequency Division Multiplexing (OFDM) have made LTE possible to satisfy its promise targets. In addition, LTE capabilities are further improved with enhanced Quality of Service (QoS) support for multiple data services, such as voice and other multimedia applications. LTE packet scheduling plays an essential role as part of LTE's Radio Resource Management (RRM) to enhance the system's data rate and to support the diverse QoS requirements of mobile services. LTE packet scheduler should intelligently allocate radio resources to mobile User Equipment’s (UEs) such that the LTE network adheres to its performance requirements. In our thesis work, we conduct a comprehensive performance evaluation of LTE scheduling algorithms for real-time application such as video conferencing traffic. The evaluation is carried out using the OPNET simulator. In order to analyze the performance LTE scheduling algorithm, our analysis involved with LTE Admission Control is two fold. First, 6 scenarios have been modeled in way that 3 of 6 scenarios deals with no LTE admission control techniques applied in the proposed network models while other 3 scenarios deals with LTE scheduling techniques applied. Secondly, video conferencing sessions are configured between two LTE cells with same number of UEs in which all UEs under each cell in the entire proposed network modeling scenarios. In order to make our evaluation more realistic we have applied various network loads so that we can observe how LTE scheduling techniques work its best in the case of highly loaded network. Our simulation results show that video conferencing node with the highest priority maintains tolerable delay and loss while nodes without scheduling techniques experience worst performance.
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