| 研究実績の概要 |
In this research-year, I focuse mainly on the following two research-topics: 1>. Low-overhead beam and power resource allocation using deep learning and its application in multiuser millimeter-wave (mmWave) communications; 2>. Deep learning-based network control and management in mobile edge computing (MEC) systems. Related research results have been published in high-quality journal and conference papers, respectively. Throughout our experiments, I generate images of resolution 4×4 and 8×8 and use these for distance estimation between users. Afterwards, I apply super resolution on images with size 4×4 to improve their resolution, and compare their results to the ones obtained with the original 8×8 images. For an area roughly equal to 60×30m, the proposed approach reaches an average mean squared error equal to 0.13 m.
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