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SON/RRM Functionality for mobility load balancing in LTE networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Suria, Salvador Navarro |
| Copyright Year | 2013 |
| Abstract | Self-Optimization will be an integral part of LTE systems in future deployments as part of the Self-Organizing Networks (SON) features defined in 3GPP LTE Release 9 and beyond. In this context, Mobility Load Balancing (MLB) is introduced as a SON use case. MLB enables the optimization of the intra-LTE mobility parameters to the current load in the cell and in the adjacent cells to improve the system capacity compared to static/non-optimised cell reselection/handover parameters. The idea of the MLB use case is to enable cells that suffer congestion to transfer the load to other cells, which have spare resource. Such transfer must usually be forced against (optimal) radio conditions and hence new mechanisms need to be addressed. The MLB use case goes hand-in-hand with handover procedure, admission control, and other RRM functionalities. It is foreseen that the MLB SON functionality will optimize the system performance on a long-term basis as compared to the RRM functionality which adapts the system to network conditions on a millisecond basis. The thesis shall consider the interaction between SON MLB use case and RRM functionalities in order to optimize the system performance. Briefly, the thesis outline may be given as follows: • Conducted an extensive literature review about RRM and MLB algorithms, identifying current solutions to the problem, and conducting a feasibility analysis for realizing such solutions in real network deployments, • Getting familiarized with the multi-cell simulator from the company, • Helping in developing and improving an MLB-RRM concept (with direct support/contribution from the supervisors). • Building a simulation framework for analyzing load balancing and implementing a framework (if not already there) for any required information exchange between the eNBs as required by the investigated solutions, • Implementing practically relevant load balancing algorithms, • Evaluating the performance in terms of user throughput, system spectral efficiency, and other KPIs, and • Optimizing the algorithms by adapting the parameters and producing final set of results. To my Family and Girlfriend, for their unconditional support and love. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://riunet.upv.es/bitstream/handle/10251/29044/Navarro%20Suria_Salvador.pdf?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
