This dataset was collected from an industrial control system running the Modbus protocol. It is used to train a deep adversarial learning model. This model is used to generate fuzzing data in the same format as the real one. The data is a sequence of hexadecimal numbers. The followed generated data is produced by the already trained model.

 

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Test dataset

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This data set is for the paper titled:

 

Channel Coding in 5G New Radio

Tutorial Overivew and Performance Comparison with 4G LTE

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test test

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wo kinds of improved SD algorithms for generalised spatial modulation (GSM), termed as the tree search SD (T-SD) and the path search SD (P-SD), are proposed to provide greater complexity reduction compared with the conventional SD algorithms by merging the repeating elements of the vectors. Simulation results show that the proposed T-SD and P-SD can reduce the complexity dramatically while maintaining the optimum bit-error-ratio(BER) performance, especially for high spectral efficiency GSM. Furthermore, P-SD breaks the limitation on the number of transmit antennas and receive antennas.

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