Modeling And Optimization Of LTE Uplink Resource Scheduling Based On Queuing Theory

With the development of mobile communication technology and the smart phone, thebusiness modes of mobile communication network is changing from the voice service intocoexistence of traditional telecom, mobile Internet and Internet of things. The rapiddevelopment of mobile communication network helps to produce a large amount ofheterogeneous services whose behavior patterns, business characteristics and QoSrequirements are different. For example, the VoIP is strict to real-time but tolerated for packetloss. But IM services are online all the time, but most of the time are in on-hook state where isonly a few time for data interaction and the small data is small and busty.3GPP LTE is the long-term evolution of3g technology, it is the evolution of3g mobilecommunication network. It combines the PFDM and MIMO as the evolution standards ofwireless network, and uses higher order modulation coding techniques in order to providehigher data rate, lower transmission delay, bigger system capacity and lower operating costs.Therefore LTE becomes the important hosted network for heterogeneous services.LTE network is different from the traditional network by the IP packet switching and thecharacteristics of variable service rate. The existing network models have been unable todescribe the LTE network and the existing wireless resource management theory also cannotbe adapted to the heterogeneous services. It is inevitable to optimize the heterogeneousservices mechanism and algorithm in LTE in order to satisfy the different QoS requirementsof heterogeneous services.The queuing theory is a mathematical tools developed from stochastic process theory,which can often be used for system modeling and performance analysis. The early use ofqueuing theory model and evaluation of communication network only considered therandomness of the arrival of customers. By using the probability distribution to represent thearrival process, it mainly studies the customer arrival process in the initial stages of queuingtheory. With the development of the network, it is more and more complex to describe thenetwork traffic model. Among the various kinds of queuing model, batch arrival queueingmodel is widely studied due to the strong applicability.Based on queuing theory, this paper studies the use of batch arrivals model modeling andthe performance evaluation of LTE packet scheduling mechanism resulting in packet loss rate,queue delay and bandwidth utilization rate formula. The packet loss rate and queue delaystand for the users’ QoS, while the bandwidth utilization response to operators’profit; the maximize utilization of system with QoS constraints is studied which determines the optimalcapacity of base station scheduling and buffer capacity. This paper research results provideeffective methods for scheduling of the buffer management. The parameters of model andoptimization can be applied to buffer capacity control with variable bandwidth deploymentand classification, which can provide the basis for the wireless resource control and lay afoundation for the large-scale application of LTE networks.This paper launches a deep research on the LTE uplink resource scheduling methodunder a satisfied heterogeneous services background, this method is also suitable for moreoptimization problems after more types of services promotion in LTE network. Thecontributions of this paper are discussed as follows.First, based on batch arrival queuing models, the LTE network models are studied. Byusing EM algorithm, the heterogeneous services is modeled as batch arrival source model.Then based on the batch arrival queuing model, the LTE network models are established. Thetransfer matrix of the state of the system is obtained. The state transition matrix is solved byusing the matrix geometric method. Finally, the system performance is obtained includingpacket loss rate, delay and bandwidth utilization of various heterogeneous services.Second, the paper studies the efficiency maximization problem with heterogeneousservices QoS constraints. According to the different QoS requirements of heterogeneousservices, the paper does research on the most efficient radio resource allocation scheme tomeet the requirements of packet loss rate and delay of the services, which not only satisfy theQoS requirements of the services but also make the operators’benefit maximized.