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About Deep Learning On QoE
The document describes a deep learning model for predicting wireless channel quality using past signal strength data. Specifically, it proposes an encoder-decoder sequence-to-sequence model using LSTM or GRU cells to capture variations. The model is evaluated on data from networks like LTE, WiFi, Zigbee and WiMAX, showing it outperforms baselines like ARIMA and linear regression for future signal prediction across different conditions.
Detailed Information
| Author: | ['Tovar Armando'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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