AI RESEARCH
A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks
arXiv CS.AI
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ArXi:2605.12180v1 Announce Type: cross In this paper, we study grant-free, asynchronous control-to-control (C2C) communications in an indoor scenario with a shared wireless channel. Each communication node transmits command units, each consisting of a variable-length low-density parity-check (LDPC)--coded payload preceded by a start sequence and followed by a tail sequence. Due to the asynchronous nature of the access, transmissions from different nodes are not aligned over time.