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| Content Provider | frontiers |
|---|---|
| Author | Qin, Mingwei Gao, Yongxiang Hou, Baolin Wang, Huan Zhou, Wenmao Yao, Yuancheng |
| Description | Many smart factories use the smart grid for power system automation, and its wireless control technology requires low-time-delay and high-reliability communication. Guessing random additive noise decoding algorithm has outstanding short packet error correction performance. In the decoding process, the order of noise parameter combination affects the decoding delay. Aiming at the communication problem of the smart grid in the process of factory power supply and distribution, this study analyzes the characteristics of the original noise parameter ranking algorithm. When the steady-state flip probability is large, more search times are required to obtain the correct combination of noise parameters, which means that greater delay is required for decoding in the time-varying channel. To solve the aforementioned problems, this study optimizes the noise parameter ranking before the noise error mode arrangement and proposes a noise parameter ranking algorithm for predicting the symbol string. First, the channel perception is completed by edge computing. Then, the algorithm uses the obtained soft information to rank the channel noise parameters. Simulation results show that the proposed algorithm has better search performance than the original sorting algorithm, especially when the channel parameter b is greater than 0.5. Finally, by comparing the BM Decoding Algorithm of BCH with different noise parameter ranking algorithms of decoding, the results show that the noise parameter ra... |
| Abstract | More and more smart factories use smart grid for power system automation, and its wireless control technology requires low time delay and high reliability communication. However, the traditional channel coding and decoding algorithm has shortcomings in decoding performance for the short packet transmission process of memory channel in factories. GRAND algorithm has outstanding short packet error correction performance. In the decoding process, the order of noise parameter combination affects the decoding delay. Aiming at the communication problem of smart grid in the process of factory power supply and distribution, this paper analyzes the characteristics of the original noise parameter ranking algorithm. When the steady-state flip probability is large, more search times are required to obtain the correct combination of noise parameters, which means that greater delay is required for decoding in time-varying channel. To solve the above problems, this paper optimizes the noise parameter ranking before the noise error mode arrangement, and proposed a noise parameter ranking algorithm for predicting the symbol string. Firstly, the channel perception is completed by edge calculation, and the channel parameters b and g are obtained , then based on the geometric distribution characteristics of the noise of the interference sequence, the mean value of the noise symbol string is predicted, and then the number of noise symbols is obtained. At the same time, in order to reduce the impact on the performance of noise parameter ranking algorithm when the steady-state flip probability is small, a reordering mechanism is designed, which searches left and right based on the predicted noise parameters. Based on this mechanism, the original noise parameter ranking matrix is reordered according to the predicted noise parameter combination. Simulation results show that the proposed algorithm has better search performance than the original sorting algorithm. Finally, by comparing the BM Decoding Algorithm with different noise parameter ranking algorithms of guess decoding, the results show that the noise parameter ranking algorithm proposed in this paper has better decoding performance in the environmental channel of smart factory, so as to improve the reliability of smart grid in the process of factory power supply and distribution. |
| ISSN | 2296598X |
| DOI | 10.3389/fenrg.2022.949453 |
| Volume Number | 10 |
| Journal | Frontiers in Energy Research |
| Language | English |
| Publisher Date | 2022-07-14 |
| Access Restriction | Open |
| Subject Keyword | Noise parameter ranking algorithm Smart Grid Channel encoding and decoding algorithm Short packet transmission Edge computing Memory channel Intelligent factory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Economics and Econometrics Renewable Energy, Sustainability and the Environment Fuel Technology Energy Engineering and Power Technology |
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