Intelligent User Association for Symbiotic Radio Networks Using Deep Reinforcement Learning

@article{Zhang2019IntelligentUA,
  title={Intelligent User Association for Symbiotic Radio Networks Using Deep Reinforcement Learning},
  author={Qianqian Zhang and Ying-Chang Liang and H. Vincent Poor},
  journal={2019 IEEE Global Communications Conference (GLOBECOM)},
  year={2019},
  pages={1-6}
}
  • Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor
  • Published in
    IEEE Global Communications…
    2019
  • Computer Science, Engineering, Mathematics
  • In this paper, we are interested in symbiotic radio networks (SRNs) and focus on the user association problem in SRNs. Specifically, in an SRN, the base station serves multiple cellular users using time division multiple access (TDMA) and each IoT device is associated with one cellular user for information transmission. The objective of user association is to link each IoT device to an appropriate cellular user by maximizing the sum rate of all IoT devices. However, the difficulty in obtaining… CONTINUE READING

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