# TeraHertz Band Communication: An Old Problem Revisited and Research Directions for the Next Decade

arXiv: https://arxiv.org/abs/2112.13187 · HTML: https://mlsanity.com/paper/2112.13187/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Dec 2021.

## Built on by (most cited first, 13 of 13)

- [Sionna: An Open-Source Library for Next-Generation Physical Layer Research](https://mlsanity.com/paper/2203.11854/) (2022)
- [Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference](https://mlsanity.com/paper/2206.06047/) (2022)
- [Modulation and Coding for NOMA and RSMA](https://mlsanity.com/paper/2410.00239/) (2024)
- [Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks](https://mlsanity.com/paper/2205.04944/) (2022)
- [Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks](https://mlsanity.com/paper/2310.05034/) (2023)
- [Metarobotics for Industry and Society: Vision, Technologies, and Opportunities](https://mlsanity.com/paper/2404.00797/) (2024)
- [Blockage Prediction in Directional mmWave Links Using Liquid Time Constant Network](https://mlsanity.com/paper/2306.04997/) (2023)
- [Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems](https://mlsanity.com/paper/2506.22448/) (2025)
- [Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks](https://mlsanity.com/paper/2409.07911/) (2024)
- [Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks](https://mlsanity.com/paper/2505.04981/) (2025)
- [Deep Learning Prediction of Beam Coherence Time for Near-FieldTeraHertz Networks](https://mlsanity.com/paper/2511.01491/) (2025)
- [Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels](https://mlsanity.com/paper/2605.30123/) (2026)
- [Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers](https://mlsanity.com/paper/2609.01699/) (2026)

## Abstract (arXiv)

Terahertz (THz) band communications are envisioned as a key technology for 6G and Beyond. As a fundamental wireless infrastructure, THz communication can boost abundant promising applications. In 2014, our team published two comprehensive roadmaps for the development and progress of THz communication networks [1], [2], which helped the research community to start research on this subject afterwards. The topic of THz communications became very important and appealing to the research community due to 6G wireless systems design and development in recent years. Many papers are getting published covering different aspects of wireless systems using the THz band. With this paper, our aim is looking back to the last decade and revisiting the old problems and pointing out what has been achieved in the research community so far. Furthermore, in this paper, open challenges and new research directions still to be investigated for the THz band communication systems are presented, by covering diverse topics ranging from devices, channel behavior, communication and networking, to physical testbeds and demonstration systems. The key aspects presented in this paper will enable THz communications as a pillar of 6G and Beyond wireless systems in the next decade.