大规模天线异构网络能效问题的研究
[Abstract]:Large-scale antenna (Massive multiple-input multiple output,Massive MIMO) and heterogeneous network (Heterogeneous network,Het Nets) are two key technologies in the fifth generation mobile communication system (5G). The combination of the two technologies will greatly improve the performance and service index of the mobile communication system. Compared with traditional MIMO heterogeneous networks, large scale antenna heterogeneous networks tend to stabilize channel randomness, reduce user interference and correlation, and have high spatial degree of freedom. However, with the increase of the number of antennas in heterogeneous networks, the energy consumption of the system also increases, especially in the context of green communication, energy efficiency has become a hot issue. The main contents of this paper are as follows: firstly, this paper analyzes the network architecture and advantages of large-scale antenna heterogeneous network system. This paper introduces several key technologies in the research of large-scale antenna heterogeneous network system. It provides a theoretical basis for the analysis of energy efficiency and other performance of the system. Secondly, in the multi-user scenario of large scale antenna heterogeneous network, this paper analyzes the energy efficiency of the user concentrated area (hot spot) in the large-scale antenna heterogeneous network system. Based on the spatial characteristics of large scale antenna system and the combined space division multiplexing (Joint Spatial Division Multiplexing,JSDM) technique, a ring scattering model environment is constructed in the hot spot region, and the interference of the macro cellular base station to the hot spot region is eliminated by using the precoding scheme. Based on stochastic matrix theory, spectrum efficiency and energy efficiency of downlink for users in hot spots are analyzed, and the limit expression of system energy efficiency is obtained. Finally, the energy efficiency, the number of base station antennas and the power of base station are obtained by simulation. Finally, this paper analyzes the downlink energy efficiency of large-scale antenna heterogeneous network systems under the maximum specific transmission precoding and zero-forcing precoding algorithms, deduces the system and rate under the two precoding algorithms, and constructs the power consumption model of the system. The expression of system energy efficiency is defined. The effects of two precoding schemes on the energy efficiency of large scale antenna heterogeneous network systems are compared under different conditions.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN929.5
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