On the size generalizibility of graph neural networks for learning resource allocation
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11432-023-3880-y.pdf
Reference31 articles.
1. Sun H R, Chen X Y, Shi Q J, et al. Learning to optimize: training deep neural networks for interference management. IEEE Trans Signal Process, 2018, 66: 5438–5453
2. Eisen M, Ribeiro A. Optimal wireless resource allocation with random edge graph neural networks. IEEE Trans Signal Process, 2020, 68: 2977–2991
3. Liu D, Sun C J, Yang C Y, et al. Optimizing wireless systems using unsupervised and reinforced-unsupervised deep learning. IEEE Network, 2020, 34: 270–277
4. Zhang C Z, Guo J, Yang C Y. When the gain of predictive resource allocation for content delivery is large? Sci China Inf Sci, 2023, 66: 222302
5. Kato N, Mao B M, Tang F X, et al. Ten challenges in advancing machine learning technologies toward 6G. IEEE Wireless Commun, 2020, 27: 96–103
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