Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?

Autor:	Thomas, Christo Kurisummoottil, Saad, Walid
Rok vydání:	2023
Předmět:	Computer Science - Information Theory Computer Science - Machine Learning Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Accepted at IEEE ICASSP 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.08017 Zobrazit plný text záznamu View this record from Arxiv