Artificial Intelligence Advancement for 6G Communication: A Visionary Approach

Author:

Miya Javed,Raj Sandeep,Ansari M. A.,Kumar Suresh,Kumar Ranjit

Publisher

Springer Nature Switzerland

Reference112 articles.

1. Nayak, S., & Patgiri, R. (2020). 6G communication: Envisioning the key issues and challenges, EAI endorsed trans. Internet Things, 6(24), 166959. https://doi.org/10.4108/eai.11-11-2020.166959

2. Nayak, S., & Patgiri, R. (2020). 6G communications: A vision on the potential applications, arXiv:2005.07531.

3. Bin Ahammed, T., & Patgiri, R. (2020). 6G and AI: The emergence of future forefront technology. In 2020 Advanced communication technologies and signal processing (pp. 1–6). ACTS. https://doi.org/10.1109/ACTS49415.2020.9350396

4. McMahan, B., Moore, E., Ramage, D., Hampson, S., & yArcas, B. A. (2017). Communication-efficient learning of deep networks from decentralized data. In A. Singh & J. Zhu (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, in: Proceedings of Machine Learning Research (Vol. 54, pp. 1273–1282). PMLR.

5. Luong, N. C., Hoang, D. T., Gong, S., Niyato, D., Wang, P., Liang, Y., & Kim, D. I. (2019). Applications of deep reinforcement learning in communications and networking: A survey. IEEE Communications Surveys and Tutorials, 21(4), 3133–3174.

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