# An Overview of Signal Processing Techniques for Terahertz Communications

arXiv: https://arxiv.org/abs/2005.13176 · HTML: https://mlsanity.com/paper/2005.13176/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2020.

## Built on by (most cited first, 9 of 9)

- [Generative Diffusion Models for High Dimensional Channel Estimation](https://mlsanity.com/paper/2408.10501/) (2024)
- [Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design](https://mlsanity.com/paper/2101.09137/) (2021)
- [Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences](https://mlsanity.com/paper/2305.00135/) (2023)
- [Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming](https://mlsanity.com/paper/2103.00328/) (2021)
- [Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks](https://mlsanity.com/paper/2205.04944/) (2022)
- [Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview](https://mlsanity.com/paper/2104.06309/) (2021)
- [Federated Multi-Task Learning for THz Wideband Channel and DoA Estimation](https://mlsanity.com/paper/2207.06017/) (2022)
- [Optimized Quality of Service prediction in FSO Links over South Africa using Ensemble Learning](https://mlsanity.com/paper/2411.06832/) (2024)
- [Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel](https://mlsanity.com/paper/2411.15589/) (2024)

## Abstract (arXiv)

Terahertz (THz)-band communications are a key enabler for future-generation wireless communications systems that promise to integrate a wide range of data-demanding applications. Recent advances in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequently, prospect THz signal generation, modulation, and radiation methods are converging, and corresponding channel model, noise, and hardware-impairment notions are emerging. Such progress establishes a foundation for well-grounded research into THz-specific signal processing techniques for wireless communications. This tutorial overviews these techniques, emphasizing ultra-massive multiple-input multiple-output (UM-MIMO) systems and reconfigurable intelligent surfaces, vital for overcoming the distance problem at very high frequencies. We focus on the classical problems of waveform design and modulation, beamforming and precoding, index modulation, channel estimation, channel coding, and data detection. We also motivate signal processing techniques for THz sensing and localization.