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- W4375869389 abstract "Future wireless services, such as the metaverse require high information rate, reliability, and low latency. Multi-user wireless systems can meet such requirements by utilizing the abundant terahertz bandwidth with a massive number of antennas, creating narrow beamforming solutions. However, existing solutions lack proper modeling of channel dynamics, resulting in inaccurate beamforming solutions in high-mobility scenarios. Herein, a dynamic, semantically aware beamforming solution is proposed for the first time, utilizing novel artificial intelligence algorithms in variational causal inference to compute the time-varying dynamics of the causal representation of multi-modal data and the beamforming. Simulations show that the proposed causality-guided approach for Terahertz (THz) beamforming outperforms classical MIMO beamforming techniques." @default.
- W4375869389 created "2023-05-10" @default.
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- W4375869389 date "2023-06-04" @default.
- W4375869389 modified "2023-09-27" @default.
- W4375869389 title "Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?" @default.
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- W4375869389 doi "https://doi.org/10.1109/icassp49357.2023.10096153" @default.
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