neural networks can be a valuable tool in various communication applications. They can be trained to recognize speech patterns, synthesize speech from text input, translate languages, analyze sentiment, classify text data, and suggest predictive text. These capabilities can enhance communication technologies, making them more accurate and efficient in conveying information across languages and platforms.
Neural networks are currently explored in the field of non-terrestrial networks. Some examples include [1] that optimizes the trajectory of mmWave UAV, [2] optimizes the reconfigurable intelligent surfaces for signal enhancesment, or both [3].
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References:
[1] https://discovery.ucl.ac.uk/id/eprint/10113392/1/UAV_energy_CL_R1.pdf
[2] https://arxiv.org/pdf/2212.02967.pdf
[3] https://openresearch.lsbu.ac.uk/item/9325z
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