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A Basis Function Generation Based Digital Predistortion Concurrent Neural Network Model for RF Power Amplifiers
SHAO Jianfeng, HONG Xi, WANG Wenjie, LIN Zeyu, LI Yunhua
ZTE Communications    2025, 23 (1): 71-77.   DOI: 10.12142/ZTECOM.202501009
Abstract158)   HTML2)    PDF (749KB)(61)       Save

This paper proposes a concurrent neural network model to mitigate non-linear distortion in power amplifiers using a basis function generation approach. The model is designed using polynomial expansion and comprises a feedforward neural network (FNN) and a convolutional neural network (CNN). The proposed model takes the basic elements that form the bases as input, defined by the generalized memory polynomial (GMP) and dynamic deviation reduction (DDR) models. The FNN generates the basis function and its output represents the basis values, while the CNN generates weights for the corresponding bases. Through the concurrent training of FNN and CNN, the hidden layer coefficients are updated, and the complex multiplication of their outputs yields the trained in-phase/quadrature (I/Q) signals. The proposed model was trained and tested using 300 MHz and 400 MHz broadband data in an orthogonal frequency division multiplexing (OFDM) communication system. The results show that the model achieves an adjacent channel power ratio (ACPR) of less than –48 dB within a 100 MHz integral bandwidth for both the training and test datasets.

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Open Source Initiatives for Big Data Governance and Security: A Survey
HU Baiqing, WANG Wenjie, Chi Harold Liu
ZTE Communications    2018, 16 (2): 55-66.   DOI: 10.3969/j.issn.1673-5188.2018.02.009
Abstract227)   HTML33)    PDF (399KB)(310)       Save

With the rapid development of Internet technology, the volume of data has increased exponentially. As the large amounts of data are no longer easy to be managed and secured by the owners, big data security and privacy has become a hot issue. One of the most popular research fields for solving the data security and data privacy is within the scope of big data governance and security. In this paper, we introduce the basic concepts of data governance and security. Then, all the state-of-the-art open source frameworks for data governance and security, including Apache Falcon, Apache Atlas, Apache Ranger, Apache Sentry and Kerberos, are detailed and discussed with descriptions of their implementation principles and possible applications.

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