Precise Analysis of Covariance Identifiability for Activity Detection in Grant-Free Random Access
<|reference_start|>Precise Analysis of Covariance Identifiability for Activity Detection in Grant-Free Random Access: We consider the identifiability issue of maximum likelihood based activity detection in massive MIMO based grant-free random access. A prior work by Chen et al. indicates that the identifiability undergoes a phase transition for commonly-used random signatures. In this paper, we provide an analytical characterization of the boundary of the phase transition curve. Our theoretical results agree well with the numerical experiments.<|reference_end|>
@article{luo2024precise,
    title={Precise Analysis of Covariance Identifiability for Activity Detection in
  Grant-Free Random Access},
    author={Shengsong Luo, Junjie Ma, Chongbin Xu, Xin Wang},
    journal={arXiv preprint arXiv:2406.01138},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.01138},
    primaryClass={eess.SP cs.IT math.IT}
}