@inproceedings{balenablingjointsensingcommunicationstbcnoma2025,
  title = {{Enabling Joint Sensing and Communication via STBC Assisted NOMA in ISAC Systems}},
  author = {Bal, Anindya and Cai, Haofan and Guo, Hanqing and Zheng, Yao and Zhang, Xiaoxue},
  booktitle = {{2025 IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)}},
  year = {2025},
  month = oct,
  pages = {407--414},
  publisher = {IEEE},
  doi = {10.1109/MASS66014.2025.00064},
  url = {https://doi.org/10.1109/MASS66014.2025.00064},
  abstract = {Integrated Sensing and Communication (ISAC) is a key enabler for Sixth-Generation (6G) and future wireless networks, which seamlessly combines ambient sensing with data communication. In this paper, we propose a novel ISAC-enabled Non-Orthogonal Multiple Access (NOMA) scheme named ISAC-Space-Time Block Coding (STBC) NOMA. We present a thorough performance comparison of our proposed scheme against three previously studied ISAC-NOMA variants: Conventional ISAC-NOMA, ISAC-Unmanned Aerial Vehicle (UAV) NOMA, and ISAC-Generalized Space Shift Keying (GSSK) NOMA, in a multi-user scenario. The comparison specifically focuses on three critical performance metrics: spectral efficiency, Bit Error Rate (BER), and Successive Interference Cancellation (SIC) decoding complexity. The evaluation results show that ISAC-STBC NOMA consistently outperforms the other schemes across all metrics. Specifically, ISAC-STBC NOMA achieves approximately 24% higher spectral efficiency at 30 dB Signal-to-Noise Ratio (SNR), reduces the BER by approximately 30%, and lowers SIC decoding complexity by up to 25%. These findings position ISAC-STBC NOMA as a strong candidate for next-generation networks, offering a well-balanced solution that enhances communication robustness, spectrum utilization, and computational efficiency.}
}