Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks

@article{Shen2019TransferLF,
  title={Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks},
  author={Y. Shen and Yuanming Shi and J. Zhang and K. Letaief},
  journal={ICC 2019 - 2019 IEEE International Conference on Communications (ICC)},
  year={2019},
  pages={1-6}
}
  • Y. Shen, Yuanming Shi, +1 author K. Letaief
  • Published 2019
  • Computer Science, Engineering
  • ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
  • Effective resource allocation plays a pivotal role in wireless networks. Unfortunately, typical resource allocation problems are mixed-integer nonlinear programming (MINLP) problems, which are NP-hard. Machine learning based methods recently emerge as a disruptive way to obtain near-optimal performance for MINLP problems with affordable computational complexity. However, they suffer from severe performance deterioration when the network parameters change, which commonly happens in practice and… CONTINUE READING
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