Information Processing and Transmission (IPT) Lab
The Information Processing and Transmission (IPT) Lab is intended to provide a research platform that investigates problems at the interface of wireless communication theory, signal processing theory, and Applied Mathematics.
IPT Mission
The Information Processing and Transmission (IPT) Lab is intended to provide a research platform that investigates problems at the interface of wireless communication theory, signal processing theory, and Applied Mathematics. The research at IPT helps in solving theoretical problems that find applications in real system. The mission of the lab is to provide innovative solutions from a variety of areas, including communication and information theories, statistical signal processing, signal estimation and detection, multi-hop cooperative networks, green wireless communications, smart grid communications, and multi-user systems.
The IPT group at NUST SEECS
The research at IPT helps in solving theoretical problems that find applications in real system. The mission of the lab is to provide innovative solutions from a variety of areas, including communication and information theories, statistical signal processing, signal estimation and detection, multi-hop cooperative networks, green wireless communications, smart grid communications, and multi-user systems.
Collaborative Minds
Introducing Our Team
Dr. Syed Ali Hassan
Lab Director
Research
[J104] S. A. Ullah, S. Zeb, A. Mahmood, S. A. Hassan, M. Gidlund, “Opportunistic CR-NOMA Transmissions for Zero-Energy Devices: A DRL-driven Optimization Strategy,” to appear in IEEE Wireless Communications Letters, vol. 12, no. 5, pp. 893-897, May 2023.
[J103] MFU Abrar, M. Talha, R. Ansari, S. A. Hassan, H. Jung, “Optimization of STAR-RIS-assisted Hybrid NOMA mmWave Communications,” IEEE Trans. On Vehicular Technology, vol. 72, no. 8, pp. 10146-10161, August 2023.
[J102] S. Zeb, M. A. Rathore, S. A. Hassan, S. Raza, K. Dev, G. Fortino, “Towards AI-enabled NextG Networks with Edge Intelligence-assisted Microservice Orchestration,” IEEE Wireless Communications Magazine, vol. 30, no. 3, pp. 148-156, June 2023.
[J101] R. Bajracharya, R. Shrestha, S. A. Hassan, H. Jung, H. Shin, “5G and Beyond Private Military Communication: Trends, Requirements, Challenges and Enablers,” IEEE Access, vol. 11, pp. 83996-84012, August 2023.
[J100] S. Basharat, S. A. Hassan, H. Jung, A. Mahmood, Z. Ding, M. Gidlund, “On the Statistical Channel Distribution and Effective Capacity Analysis of STAR-RIS-Assisted BAC-NOMA Systems,” to appear in IEEE Transactions on Wireless Communications, 2024.
[J99] M. Umer, M. A. Mohsin, M. Gidlund, H. Jung, S. A. Hassan, “Analysis of STAR-RIS-Assisted Downlink CoMP-NOMA Multi-Cell Networks Under Nakagami-m Fading,” to appear in IEEE Communications Letters, 2024.
[J98] S. Zeb, A. Mahmood, S. A. Khowaja, K. Dev, S. A. Hassan, et al, “Towards Defining Industry 5.0 Vision with Intelligent and Softwarized Wireless Network Architectures and Services: A Survey,” Journal of Network and Computer Applications, vol. 223, March 2024.
[J97] F. M. A. Khan, A. Z. Hatem, S. A. Hassan, “Deep Compression for Efficient and Accelerated Over-the-Air Federated Learning,” to appear in IEEE Internet of Things Journal, 2024.
[J96] M. K. Shehzad, L. Rose, S. Wesemann, M. Assaad and S. A. Hassan, “Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data,” arXiv preprint arXiv:2208.11951, 2022.