A MPGNN-Based Unsupervised Learning Framework for Power Control in D2D Networks
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2200-6_33
Reference12 articles.
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3. Tang R, Zhao J, Qu H, Zhang Z (2017) User-centric joint admission control and resource allocation for 5G D2D extreme mobile broadband: a sequential convex programming approach. IEEE Commun Lett 21(7):1641–1644. https://doi.org/10.1109/LCOMM.2017.2681664
4. Chiang M, Hande P, Lan T, Tan CW et al (2008) Power control in wireless cellular networks. Found Trends Networking 2(4):381–533
5. Sun H, Chen X, Shi Q, Hong M, Fu X, Sidiropoulos ND (2018) Learning to optimize: training deep neural networks for interference management. IEEE Trans Signal Process 66(20):5438–5453
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