  This paper presents an iterative detection and decoding scheme along with an
adaptive strategy to improve the selection of access points (APs) in a
grant-free uplink cell-free scenario. With the requirement for the APs to have
low-computational power in mind, we introduce a low-complexity scheme for local
activity and data detection. At the central processing unit (CPU) level, we
propose an adaptive technique based on local log-likelihood ratios (LLRs) to
select the list of APs that should be considered for each device. Simulation
results show that the proposed LLRs-based APs selection scheme outperforms the
existing techniques in the literature in terms of bit error rate (BER) while
requiring comparable fronthaul load.
