Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches

@article{Jiang2021TrafficPA,
  title={Traffic Prediction and Random Access Control Optimization: Learning and Non-Learning-Based Approaches},
  author={Nan Jiang and Yansha Deng and Arumugam Nallanathan},
  journal={IEEE Communications Magazine},
  year={2021},
  volume={59},
  pages={16-22}
}
Random access channel (RACH) procedures in modern wireless communications are generally based on multi-channel slotted-ALOHA, which can be optimized by flexibly organizing devices' transmission and retransmission. However, due to the lack of information about the traffic generation statistics and the occurrence of random collision, optimizing RACH in an exact manner is generally challenging. In this article, we first summarize the general structure of optimization for different RACH schemes… Expand
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