AIF: An Artificial Intelligence Framework for Smart Wireless Network Management

@article{Cao2018AIFAA,
  title={AIF: An Artificial Intelligence Framework for Smart Wireless Network Management},
  author={Gang Cao and Zhaoming Lu and Xiangming Wen and Tao Lei and Zhiqun Hu},
  journal={IEEE Communications Letters},
  year={2018},
  volume={22},
  pages={400-403}
}
To solve the policy optimizing problem in many scenarios of smart wireless network management using a single universal algorithm, this letter proposes a universal learning framework, which is called AI framework based on deep reinforcement learning (DRL). This framework can also solve the problem that the state is painful to design in traditional RL. This AI framework adopts convolutional neural network and recurrent neural network to model the potential spatial features (i.e., location… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Deep Learning

L. Goodfellow, Y. Bengio, A. Courville
Cambridge, MA, USA: MIT Press • 2016
View 7 Excerpts
Highly Influenced

and Y

G. Cao, Z. Lu, T. Lei, X. Wen, L. Wang
Yang, “Demo: SDNbased seamless handover in WLAN and 3GPP cellular with CAPWAN,” in Proc. 13th Int. Symp. Wireless Commun. Syst., Poznan, Poland • 2016
View 4 Excerpts
Highly Influenced

and N

H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu
D. Sidiropoulos. • 2017
View 1 Excerpt

Evaluation of the Minstrel rate adaptation algorithm in IEEE 802.11g WLANs

2013 IEEE International Conference on Communications (ICC) • 2013
View 1 Excerpt

Demo : SDNbased seamless handover in WLAN and 3 GPP cellular with CAPWAN

Z. Lu G. Cao, T. Lei, X. Wen, L. Wang, Y. Yang
Reinforcement Learning : An Introduction • 1999

Similar Papers

Loading similar papers…