| 研究実績の概要 |
In this research year, my research focuses mainly on the analog beamformer designs and it's application in multiuser millimeter-wave (mmWave) communications using deep learning. In addition, the transmit beamforming incorporating the spatial modulation technology has been studied. On the other hand, mobility-aware routing and caching for dense networks by using federated learning have been investigated as well. Related research results have been published in 3 high-quality journal papers and 3 conference papers, respectively. The experiments manifest that the proposed scheme can accurately estimate beam qualities and give high probability of optimal beam selections with low overhead. In addition, the theoretical and numerical analyses show that the proposed caching approach can provide high average cache efficiency (CE) in relative to the state-of-the-art caching schemes.
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