LTE-A Network Performance Enhancements And Cloud Key Technology Research

Cellular heterogeneous networks gradually become the mainstream of mobile communication networks because flexible deployment, high utilization of spectrum and easy maintenance. The multi-layer network architecture can effectively solve the hot spot and blind spot problems. However,HetNet also face some new problems, such as different QoS requirements, complex interference and increasing energy consumption. Because of these problems, the improvement of network performance is limited and the sustainable development of HetNet is severely restricted. Therefore, how to achieve high efficiency, high throughput and high quality of user experience become urgent issues of the future HetNet.We focus on eNB-Multi-Pico heterogeneous network architecture to improve network performance and the user experience in this paper, including optimizing Pico coverage, exploring the intrinsic relationship between the offset value and network performance and working on researching TCP performance improvement mechanism under the condition of frequent handoff. The main contents are as follows.In eNB-Multi-Pico heterogeneous network, Network capacity can be effectively improved by the deployment of Pico. However, the user traffic density is always changing with time. Pico resources cannot be fully utilized. In order to enhance the Pico resource utilization and achieve efficient network traffic distribution, we optimize Pico coverage with cell range extension and explore the relationship between network performance and Pico coverage in this paper, which lays the foundations for future research.While Pico coverage optimization has a positive impact on the network, it also led to the SINR decreases of users in the enlarged region. In order to improve the user experience in the edge region, we use resource allocation policies to avoid interference. For some cases that resource allocation cannot solve we propose an eNB—Multi-Pico collaborative power management strategy, which reduce eNB transmitting power to enhance SINR of users in some RBs.Considering the mass deployment of LPN in the future 5G networks, the ubiquitous mobility of users will causes frequent handoff, which seriously affects the user experience, increases energy consumption and wastes network resources. In this paper, we propose handoff optimization strategy based on distributed cloud data center, which will reduce the handoff impact on the user experience and network throughput by setting up users’ mobility model to pre-allocation of resources.