Research On Mobility Load Balancing Based LTE Small Cell Hybrid Network

In recent years, wireless data services are growing explosively. More than50%of the voice services and more than70%data traffic are generated from the indoor environment. Therefore, Small Cells are introduced to improve the coverage of indoor environment and the capacity of the entire network. In LTE(Long Term Evolution), The data amount requirement of indoor users is growing and the distribution of user services is uneven. So the local congestion problem of network is serious. In order to reduce the network configuration and management overhead,3gpp introdouce SON into both LTE Macro and Small Cells for solving the local congestion problem of network. MLB is determined to be the important function of SON. MLB technology process imbalance of base station business timely and efficiently, have a significant impact on network performance, user experience, etc. So MLB has important theoretical and practical value for studying the combined network coverage and capacity optimization problem of LTE Macro Cell and Small Cell.In this paper, MLB algorithms are in-depth studied and discussed seriously. The main object is studied and optimized related algorithms in LTE Macro Cells and Small Cells. First, we force on reached the algorithms of MLB in Macro Cells, and then base on the Macro Cell MLB algorithms, this paper design algorithm frame work in the hybrid network scenarios of Small Cells and Macro Cells. The convexity of algorithm is verified by the method of Convex Optimization. Besides it, this paper proposed a MLB algorithm base on Handover-optimization. The algorithm achieve the balance of mobile load by the selection of users, the target cell and handover parameters.Finally, by building LTE system-level simulation platform and simulation MLB algorithm which is proposed, analysis performance include severity of the cell throughput, throughput of the whole network, RB utilization, load cell changes, QoS, etc. In this paper, the the proposed optimization algorithm compared with traditional-MLB algorithm and Non-MLB algorithm, The results show that the proposed algorithm can achieve load balancing and optimization of coverage and capacity in the hybrid network of LTE Small Cell, the algorithm can effectively reduce the offload cells, while improving RB efficiency and overall network performance.The next work, the indoor environment of centralized scheduling optimization scheme in Enterprise Small Cell is to be research, further optimize load and network performance. Concerning collaborate with other SON algorithms and the applications of MLB in5G technology.