A Study of Packet Scheduling Schemes for VoIP and Best Effort Traffic in LTE Networks

The Long Term Evolution (LTE) provides all services over Internet Protocol (IP) since it is an all IP network. To use available radio resources in an effective utilization, Packet Scheduling (PS) should be considered to enhance the Quality of Service (QoS) of Real Time (RT) and Non-Real Time (NRT) traffic. In this thesis, the PS of both RT and NRT traffic is studied in LTE networks. Apriority packet scheduling algorithm is proposed. The proposed algorithm has the ability to schedule the mixed traffic, RT and NRT, simultaneously. The objective of the algorithm is to maximize the Best Effort (BE) throughput while achieves the satisfaction QoS requirements of RT throughput. According to the obtained results of the thesis, the traffic should be differentiated and the services should be prioritized, when applying delay sensitive services. A system simulation is performed to support the study for mixed services approaches with Voice over IP (VoIP) and a second BE service such as File Transfer Protocol (FTP). The performance of the proposed algorithm and the impact of the different factors on the overall system performance have been tested. The work is done at Medium Access Control (MAC) layer and Physical Layer (PHY). Finally, a good results are achieved that guarantee a good end to end performance for both voice and data services

Optimization and Performance Analysis of High Speed Mobile Access Networks

The end-to-end performance evaluation of high speed broadband mobile access networks is the main focus of this work. Novel transport network adaptive flow control and enhanced congestion control algorithms are proposed, implemented, tested and validated using a comprehensive High speed packet Access (HSPA) system simulator. The simulation analysis confirms that the aforementioned algorithms are able to provide reliable and guaranteed services for both network operators and end users cost-effectively. Further, two novel analytical models one for congestion control and the other for the combined flow control and congestion control which are based on Markov chains are designed and developed to perform the aforementioned analysis efficiently compared to time consuming detailed system simulations. In addition, the effects of the Long Term Evolution (LTE) transport network (S1and X2 interfaces) on the end user performance are investigated and analysed by introducing a novel comprehensive MAC scheduling scheme and a novel transport service differentiation model