Sensing in Terahertz Communications for the Sixth-Generation Mobile Technology

This paper investigates the use of compressed sensing methods in waveform design to enhance transmission efficiency while minimizing free-space path loss (FSPL). It introduces a classification framework tailored for communication and sensing services, considering critical parameters such as data rates, operational frequencies, and latency requirements. Additionally, the research evaluates the potential of integrating Terahertz (THz) sensing into sixth generation (6 G) networks, utilizing the distinctive attributes of THz waves for applications like imaging, spectroscopy, and environmental sensing. The project demonstrated that waveforms developed with compressed sensing techniques improved both data acquisition and reconstruction. Simulation results reveal substantial challenges in THz communication for 6G networks, including significant path losses, atmospheric absorption, and scattering at higher frequencies and over longer distances. Addressing these challenges necessitates advanced technologies—such as high-gain antennas, power amplifiers, and robust error-correcting codes—to ensure reliable communication. These findings are essential for the design and optimization of 6G networks, providing guidance for the development of technologies and infrastructure that can meet the unique demands of $\mathbf{T H z}$ communication, thereby supporting the ultra-high-speed, low-latency applications envisioned for future networks.