# A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks

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## Abstract

**:**

## 1. Introduction

#### Machine Learning Tasks for Optical Networks

- Classification: Process of assigning threat categories;
- Regression: Predicting a value for items;
- Ranking: Ordering based on some criteria.

- Neural Networks;
- Support Vector Machines;
- Linear Regression;
- Principal Component Analysis;
- Statistical Models;
- Linear Time Series Models.

## 2. Motivations

#### 2.1. System Complexity

#### 2.2. Data Availability

## 3. Definitions

- specifically discusses short-term or long-term prediction purposes;
- is applied in simulation for the short term or long term;
- predicts traffic for short-term or long-term increments of time;
- is time-dependent or -independent.

## 4. Neural Networks

#### Relevant Papers

## 5. Support Vector Machines

#### Relevant Papers

## 6. Linear Regression

#### Relevant Papers

## 7. Principal Component Analysis

#### Relevant Papers

## 8. Statistical Models

#### 8.1. Hidden Markov Model

#### 8.2. Bayesian Estimation

## 9. Linear Time Series

#### Relevant Papers

## 10. Summary

## 11. Conclusions and Future Opportunities

## Author Contributions

## Funding

## Conflicts of Interest

## References

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Technique | Reference | Type | Local/Wide | Metric | Application |
---|---|---|---|---|---|

NN | 17 | NN | Wide | Traffic Volume | Cellular traffic |

19 | LSTM | Wide | Blocking Probability | Optical networks | |

20 | GCN-GAN | Wide | Traffic Volume | Elastic optical networks | |

21 | RNN | Wide | Traffic Volume | Communication networks | |

24 | BPNN | Wide | Blocking Probability | Elastic optical networks | |

25 | LSTM | Wide | Traffic Volume | Big data oriented networks | |

30 | NN | Wide | Traffic Volume | Universal | |

32 | ELM | Wide | Traffic Volume | Bufferless OBS/OPS networks | |

SVM | 36 | SVM | Wide | Traffic Volume | LTE networks |

37 | SVM | Local | Traffic Volume | Wireless Local Area Networks | |

38 | Hybrid SVM | Wide | Traffic Volume | Metro network | |

PCA | 44 | PCA | Wide | Traffic Volume | IP network backbone |

45 | PCA | Wide | Blocking Probability | Optical networks | |

47 | PCA | Local | Traffic Volume | Bluetooth networks | |

49 | PCA | Wide | Traffic Volume | Metro networks | |

Statistical Model | 52 | Markov Decision Process | Wide | Blocking Probability | Optical networks |

53 | Bayesian Estimation | Local | Traffic Volume | ONU | |

54 | Statistical analysis | Wide | Traffic Volume | Elastic optical networks | |

Linear Time Series | 57 | ARMA | Local | Traffic Volume | TCP traffic |

58 | GARMA | Local | Traffic Volume | MPEG, JPEG, Ethernet, Internet |

Technique | Reference | Type | Local/Wide | Metric | Application |
---|---|---|---|---|---|

NN | 14 | ANN | Wide | Blocking Probability | Optical networks |

19 | LSTM | Wide | Blocking Probability | Optical networks | |

20 | GCN-GAN | Wide | Traffic Volume | Traffic prediction | |

26 | NARX | Local | Traffic Volume | Traffic prediction | |

33 | GCN-GAN | Wide | Traffic Volume | Traffic prediction | |

SVM | 35 | SVM | Wide | QoT prediction | Optical transport networks |

Linear Regression | 40 | Linear Regression | Wide | Fragmentation prediction | Spectrally–Spatially Flexible Optical Networks |

Statistical Models | 50 | Hidden Markov Model | Wide | Traffic Volume | Wavelength Division Multiplexing networks |

Linear Time Series | 57 | ESN | Wide | Traffic Volume | Wireless traffic load |

60 | ARIMA | Wide | Traffic Volume | Communication networks |

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**MDPI and ACS Style**

Chen, A.; Law, J.; Aibin, M.
A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks. *Telecom* **2021**, *2*, 518-535.
https://doi.org/10.3390/telecom2040029

**AMA Style**

Chen A, Law J, Aibin M.
A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks. *Telecom*. 2021; 2(4):518-535.
https://doi.org/10.3390/telecom2040029

**Chicago/Turabian Style**

Chen, Aaron, Jeffrey Law, and Michal Aibin.
2021. "A Survey on Traffic Prediction Techniques Using Artificial Intelligence for Communication Networks" *Telecom* 2, no. 4: 518-535.
https://doi.org/10.3390/telecom2040029