LTE-Advanced系統(tǒng)載波聚合關(guān)鍵技術(shù)研究
[Abstract]:With the rapid development of mobile Internet service and the intelligence of terminal equipment, users put forward higher requirements for data rate. As the main technical standard of the fourth generation mobile communication system, LTE-Advanced increases carrier aggregation and enhances MIMIO,. Multi-point cooperative transmission, relay technology and other key technologies to meet the needs of users for data rates. Carrier aggregation technology can provide greater transmission bandwidth, higher data rate and lower delay by using multiple carrier components of different bandwidth at the same time, thus providing a better user experience. Based on LTE-Advanced network, this paper focuses on the wireless resource management methods in carrier aggregation environment, including member carrier selection algorithm and RB allocation algorithm. In this paper, the architecture of LTE-Advanced network and its new key technologies are introduced firstly, and the technical characteristics of carrier aggregation, including the principle of carrier aggregation, the aggregation mode and the deployment application scenario, are emphatically introduced. Then it introduces the wireless resource management method and FemtoCell related technology in LTE-Advanced network, as well as the influence of FemtoCell technology on the existing LTE-Advanced network. Secondly, according to the technical characteristics of two-layer network deployment, this paper proposes a member carrier selection algorithm based on dynamic packet in FemtoCell network. The algorithm fully considers the interference between the member carriers and the adjacent region, designs the corresponding solution algorithm, carries out the simulation experiment with LTE-Sim open source software, and analyzes the validity and feasibility of the algorithm. Simulation results show that the proposed algorithm can improve the efficiency of carrier selection to some extent. Finally, the paper further studies the wireless resource management method, and proposes an improved RB resource allocation algorithm. By adding constraints, the algorithm transforms the problem into an integer linear programming problem. In this paper, the feasibility of the algorithm is analyzed from the aspects of complexity, fairness and so on. Through the simulation comparison with the existing resource allocation algorithm, the effectiveness of the algorithm is further verified. Simulation results show that the proposed scheme improves the system performance and resource utilization efficiency.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN929.5
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