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Research Of LTE E-Utran Self-Organizing Load Balancing Management Method

Posted on:2012-06-20Degree:MasterType:Thesis
Country:ChinaCandidate:H GuoFull Text:PDF
GTID:2178330335460168Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the growth in the scale of network nodes and the highly demand for the network quality of service by the users, the radio access network become larger and difficult to manage, meanwhile, the network optimization costs are heavy. Self Organizing is one of the design requirements of the LTE (Long Term Evolution) E-UTRAN (Evolved UTRAN). As a typical use case in the self-organizing management methods, Load Balancing can help to optimize the network quality of service, improve the resource utilization of equipments and reduce network operation and maintenance management costs, which is an important research direction in the LTE radio access network optimization area. Currently, the Load Balancing management researches focus on 2G,3G wireless access network environments, and the study of load balancing algorithms. However, there is less products in the LTE radio access network environment. It's an urgent need to introduce self-organizing Load Balancing method into LTE.This paper studies the E-UTRAN structure and the mainstream Load Balancing solutions, then focuses on two research directions including the interfaces & mechanisms and simulation models & algorithms, results are described at last. On the one hand, the authors extend E-UTRAN distributed signaling interface-the X2AP, based on the mainstream of independent signaling interaction demand, then analysis distributed Load Balancing signaling interactions. In the process extension of the existing interfaces, the general nature of the interface bas been taken into account. On the other hand, based on a common model-the Manhattan user mobility model, the authors design the hotspot attraction driven user mobility model for the load balancing simulation use case, and design the key algorithm-the direction decision algorithm with the simulation.
Keywords/Search Tags:Self-Organizing, Load Balancing, E-UTRAN, user mobility model
PDF Full Text Request
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