JOURNAL PAPERS

 

  • Q. Khan, A. Gaber, M. Parvini, P. Schulz and G. Fettweis, "A Low-Complexity Machine Learning Design for mmWave Beam Prediction," in IEEE Wireless Communications Letters, vol. 13, no. 6, pp. 1551-1555, June 2024.
  • Qurratulain Khan, A. Gaber, P. Schulz and G. Fettweis, "Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges", in IEEE Access, vol. 11, pp. 11880-11902, 2023.
  • Sattari, H. Guo, D. Gündüz, A. Panahi and T. Svensson, "Full-Duplex Millimeter Wave MIMO Channel Estimation: A Neural Network Approach", in IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 1093-1108, 2024
  • Adeppady, P. Giaccone, H. Karl and C. F. Chiasserini, "Reducing Microservices Interference and Deployment Time in Resource-Constrained Cloud Systems", in IEEE Transactions on Network and Service Management, vol. 20, no. 3, pp. 3135-3147, Sept. 2023.
  • Roy, H. Chergui and C. Verikoukis, "Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing," in IEEE Transactions on Cognitive Communications and Networking, 2024.
  • Bandali, M., Rius I Riu, J., Gross, J., Lewitzki, A., & Roy, D., "ML-based Fault Management Automation in Large-scale Fixed and Mobile Telecommunication Networks". IEEE Transactions on Network and Service Management, 2024.
 

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