Learning-Assisted Distributed Covariance-Based User Activity Detection for Grant-Free Massive MIMO Article

ElSakka, Omar M, Ibrahim, Ahmed S, Ismail, Mahmoud H. (2026). Learning-Assisted Distributed Covariance-Based User Activity Detection for Grant-Free Massive MIMO . IEEE Communications Letters, 30 2392-2396. 10.1109/LCOMM.2026.3704491

cited authors

  • ElSakka, Omar M; Ibrahim, Ahmed S; Ismail, Mahmoud H

authors

publication date

  • January 1, 2026

published in

keywords

  • Automated parking
  • CatBoost
  • Cells (biology)
  • Federated identity
  • Fisher information matrix
  • Internet of Things
  • Internet of Things (IoT)
  • Learning (artificial intelligence)
  • Massive MIMO
  • Massive machine type communications
  • Modeling
  • RANDOM-ACCESS
  • Science & Technology
  • Signal detection
  • Technology
  • Telecommunications
  • Timing
  • User activity detection (UAD)
  • XGBoost
  • cell-free architecture
  • grant-free massive MIMO
  • massive machine-type communications (mMTC)

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 2392

end page

  • 2396

volume

  • 30