Integrated Sensing And Communication Projects for ME, MTech, Masters, MS abroad, and PhD students. These Integrated Sensing And Communication ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Integrated Sensing And Communication Projects
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Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink
This project studies how future 5G vehicle networks can detect nearby objects using the same signals that cars use to communicate. It looks at how well vehicles can sense their surroundings when many cars share the network. The research also examines how network settings like bandwidth, signal type, and message size affect detection accuracy. The goal is to improve sensing without needing extra radar signals. -
Robust Beamforming Design for Integrated Sensing and Communication Systems
This project focuses on improving systems that do both wireless communication and radar sensing at the same time. The goal is to detect targets accurately while using less power for communication. The researchers developed smart mathematical methods to handle uncertainties in the environment and ensure reliable performance. Their approach also makes the calculations faster and more efficient compared to earlier methods. -
Sensing-Assisted Eavesdropper Estimation An ISAC Breakthrough in Physical Layer Security
This project studies how communication systems can use sensing to improve security. The system detects potential eavesdroppers and directs signals to block them. It uses smart optimization to balance accurate detection and secure transmission. Overall, sensing helps the system stay safe while communicating efficiently. -
Sensor Response-Based Localization Using Spatial Correlation of Nongeotagged Data
This project focuses on finding the locations of sensor devices in future wireless networks without using GPS. It uses patterns in sensor responses to estimate where each sensor is placed. The method works even when sensors are close together and do not measure distance directly. Simulations show it can locate sensors with about 1-meter accuracy, which is useful for monitoring urban environments.
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