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.

翻译：本文提出了一种迭代检测与解码方案及自适应策略，以改进无授权上行无蜂窝场景中的接入点选择。考虑到接入点需具备低计算能力的要求，我们引入了一种低复杂度的本地活动与数据检测方案。在中央处理单元层面，我们提出了一种基于本地对数似然比的自适应技术，用于为每个设备选择应纳入考虑的接入点列表。仿真结果表明，所提出的基于LLR的接入点选择方案在误码率方面优于现有文献中的技术，同时所需的前传负载相当。