Activity Detection for Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: A Bayesian Approach. (arXiv:2401.16775v1 [cs.LG])

Activity detection is an important task in the next generation grant-free
multiple access. While there are a number of existing algorithms designed for
this purpose, they mostly require precise information about the network, such
as large-scale fading coefficients, small-scale fading channel statistics,
noise variance at the access points, and user activity probability. Acquiring
these information would take a significant overhead and their estimated values
might not be accurate. This problem is even more severe in cell-free networks
as there are …

algorithms arxiv bayesian connectivity cs.lg detection free grant information massive multiple network networks next noise probability scale statistics variance