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Please download this folder for reading.

Please follow the steps below:

  1. Click the green button "Code" on this page.
  2. Click the button "Download ZIP".
  3. Save the folder to any place you want on your computer.
  4. Find the folder you saved and unzip it for easy reading.
  • We have already submitted this document as a supplementary document to our paper, or you can also directly read our supplementary document if you have it.

About the "supplementary document.pdf"

This is a supplementary document to the paper: Multi-channel Opportunistic Access for Heterogeneous Networks Based on Deep Reinforcement Learning. In this document, we derive the optimal network throughputs when the Multi-channel Deep-reinforcement Learning Multiple Access (MC-DLMA) node coexists with the nodes using other protocols in various multi-channel heterogeneous wireless network (HetNet) scenarios. Then we use these optimal network throughputs as upper bound benchmarks for our paper.

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Multi-channel multiple access; deep reinforcement learning; spectrum utilization.

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