| Project ID |
BITS-SRIP/8E8392/2026 |
| Project Title |
Semantic-Aware THz Wireless Channel Modeling and Simulation |
| Project Description |
Terahertz (THz) communication is a promising technology for future high-data-rate wireless systems, but it faces challenges such as severe path loss, blockage, and highly environment-dependent propagation. This project explores a semantic-aware approach to THz wireless modeling, where only information that is meaningful or relevant to the application is emphasized, instead of transmitting or modeling all raw data.
The student will develop simplified THz channel models using analytical expressions and/or simulation tools, and then incorporate semantic abstraction, where signals are interpreted at a higher level (for example: event detection, symbol importance, or task relevance). The focus is on understanding how semantics can reduce communication burden and improve system efficiency under harsh THz channel conditions.
The project will be simulation-based and concept-driven, making it suitable for undergraduate students interested in wireless systems, modeling, and applied machine learning.
Expected Outcome:
• A working THz channel modeling and simulation framework
• Demonstration of the benefits of semantic-aware transmission in THz systems
• Improved understanding of next-generation wireless modeling challenges
• Final report with plots, analysis, and conclusions |
| Project Discipline |
Electrical Engineering, Electronics and Communication Engineering, Computer Science or related interdisciplinary engineering programs. |
| Faculty Name |
Syed Mohammad Zafaruddin |
| Department |
Department of Electrical & Electronics Engineering |
