Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit

Xinjue Wang; Esa Ollila; Sergiy A. Vorobyov

ICASSP 2025accepted0 citations

Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit

Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov

Abstract

We propose a robust activity detection for grant free random access using greedy covariance-learning-based matching pursuit (RCL-MP) algorithm. The method incorporates a robust loss function into the Gaussian negative log-likelihood function, and uses matching pursuit framework for greedily selecting the indices of active users. This algorithm employs a flexible loss function effectively recovering sparse support under non-Gaussian noise conditions. Furthermore, we numerically demonstrate the robustness of RCL-MP across various conditions in massive access scenarios.

BibTeX

@inproceedings{icassp2025_robustactivityde,
  title = {Robust Activity Detection for Massive Access using Covariance-based Matching Pursuit},
  author = {Xinjue Wang and Esa Ollila and Sergiy A. Vorobyov},
  booktitle = {ICASSP 2025},
  year = {2025}
}