Massivemassive multiple-input multiple-output (MIMO) and heterogeneous networks are two Potential technologies in the 5G. The application of Massive-MIMO to heterogeneous network can effectively eliminate the interference and improve energy efficiency.In this paper, the network is optimized by using JointSpatial Division and Multiplexing (JSDM) and zero forcing algorithm, analyzing the spectrum efficiency and energy efficiency of the heterogeneous network.The relationship between the energy efficiency and the number of antennas and the transmission power of the base station are considered by simulation.
In the context of the rapid development of power Internet of Things technology, the amount of power equipment data is increasing rapidly. How to realize the safe sharing of power data is a research focus. In order to improve the security of power equipment data sharing and use, this paper proposes a data security management model based on alliance chain. Based on this model, the power equipment registration process, power equipment data storage process, and data sharing process are designed. In the data sharing process, in order to improve the security of data use, a data security sharing mechanism is proposed based on federated learning and differential privacy encryption technology. In the experimental part, it is verified that the data security management and sharing mechanism proposed in this paper has better application performance in the process of data management and sharing.
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