Spectrum Analysis

We focus on optimizing spectrum usage in 7G and beyond, addressing critical challenges such as spectrum scarcity, interference, and dynamic allocation in highly congested wireless environments. Leveraging advanced techniques, including machine learning, signal processing, and stochastic optimization, our research develops real-time solutions for spectrum analysis and efficient spectrum sharing. By exploring sub-6 GHz, mmWave, and THz frequencies and leveraging 3GPP-defined standards, we aim to maximize spectrum utilization and ensure adaptive resource allocation. Our work ensures improved signal quality, enhanced network throughput, and robust communication for IoT, smart cities, autonomous systems, and next-generation applications. This research supports the sustainable evolution of wireless networks, enabling high data rates, ultra-reliable, low-latency communication, and seamless connectivity.

Publications:

  • K. Saeed, A. Khokhar, and S. Ahmed, “Pilot Contamination in Massive MIMO Systems: Challenges and Future Prospects,” 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 1504-1509.
  • S. Ahmed and B. Bash, “Average worst-case secrecy rate maximization via UAV and base station resource allocation,” in Proc. 57th Allerton Conference on Communication, Control, and Computing, Illinois, pp. 1176-1181, Sept. 2019.
  • H. Sun, Q. Wang, S. Ahmed, and R. Q. Hu, “Non-orthogonal multiple access in a mmWave based IoT wireless system with SWIPT,” in Proc. 85th IEEE International Conference on VTC, Sydney, NSW, Australia, pp. 4-7, November 2017 (Invited paper).
  • M. Alam, M. Rahman, S. Ahmed, M. Chowdhury, “Adaptive biasing cell association in FFR aided multi-tier heterogeneous networks under dynamic load variation,” in Proc. 5th IEEE International Conference on Informatics, Electronics, and Vision (ICIEV), May 2016, pp. 829-833 (Best paper award).
  • S. Ahmed, M. Hossain, M. Chowdhury, “Radio resource management for dynamic channel borrowing scheme in wireless networks,” in Proc. 5th IEEE ICIEV, 23-24 May 2014.
  • S. Ahmed, M. Hossain, M. Chowdhury, “On demand cell sectoring based fractional frequency reuse in wireless networks,” in Proc. 9th IEEE Conference on the International Forum on Strategic Technology (IFOST), 23-24 May 2014.
  • S. Ahmed, M. Hossain, M. Chowdhury, “Interference declination for dynamic channel borrowing scheme in wireless networks,” in Proc. 5th IEEE ICIEV, May 2014.
  • M. A. Hossain, M. Z. Chowdhury, S. Ahmed, and Y. M. Jang, “Class-based interference management in wireless networks,” 2014 International Conference on Information and Communication Technology Convergence (ICTC), Busan, Korea (South), 2014, pp. 217-222.
  • S. Sabuj, S. Ahmed, and A. Khokhar. “Spectrum Scarcity in Vehicular Networks in 6G: Architecture, Challenges and Solutions,” in preparation for IEEE Vehicular Technology Magazine.
  • S. Sabuj, S. Ahmed, and H. Jo. “Multiple CUAV-enabled mMTC and URLLC services: Review of energy efficiency and latency performance,” IEEE Transactions on Green Communications and Networking, vol. 7, no. 3, pp. 1369-1382, Sept. 2023.
  • M. Hasan, M. Chowdhury, S. Ahmed, S. Sabuj, J. Nibhen, and K. Bakar. “Optimum energy harvesting model for bidirectional cognitive radio networks,” EURASIP Journal on Wireless Communications and Networking, vol. 199, 2021.
  • M. Chowdhury, M. Shahjalal, S. Ahmed, Y. Jang. “6G wireless communication: Applications, requirements, technologies, and research directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957-975, July 2020.
  • M. Chowdhury, A. Hossain, S. Ahmed, et al. “Radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks,” Wireless Networks (Springer), vol. 21, pp. 2593–2607, 2015.