Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

@article{Jagannath2019MachineLF,
  title={Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey},
  author={Jithin Jagannath and Nicholas Polosky and Anu Jagannath and Francesco Restuccia and T. Melodia},
  journal={Ad Hoc Networks},
  year={2019},
  volume={93}
}
Abstract The Internet of Things (IoT) is expected to require more effective and efficient wireless communications than ever before. [...] Key Method Thereafter, we discuss directions taken by the community towards hardware implementation to ensure the feasibility of these techniques. Additionally, before concluding, we also provide a brief discussion of the application of machine learning in IoT beyond wireless communication. Finally, each of these discussions is accompanied by a detailed analysis of the…Expand
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References

SHOWING 1-10 OF 291 REFERENCES
Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks
  • 148
  • PDF
When Cognitive Radio meets the Internet of Things?
  • 82
Network Throughput Optimization for Random Access Narrowband Cognitive Radio Internet of Things (NB-CR-IoT)
  • 48
Machine Learning Paradigms for Next-Generation Wireless Networks
  • 571
  • PDF
A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
  • 2
Machine learning for Internet of Things data analysis: A survey
  • 325
  • Highly Influential
  • PDF
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
  • 230
  • PDF
Evolution of wireless sensor networks towards the Internet of Things: A survey
  • L. Mainetti, L. Patrono, A. Vilei
  • Computer Science
  • SoftCOM 2011, 19th International Conference on Software, Telecommunications and Computer Networks
  • 2011
  • 432
Deep learning for wireless physical layer: Opportunities and challenges
  • 265
  • PDF
Cognitive radio for M2M and Internet of Things: A survey
  • 124
...
1
2
3
4
5
...