Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector
Linjie Yang, Pingzhi Fan, Li Li, Zhiguo Ding, Li Hao

TL;DR
This paper introduces a novel grant-free transceiver architecture for massive IoT networks that combines LDPC matrix-based user identification with an integrated cover-MPA detector, enabling efficient random access and reliable data transmission.
Contribution
It proposes a new transceiver design using LDPC parity check matrices as protocol sequences and a two-stage iterative detection architecture for improved grant-free transmission.
Findings
Achieves practical one-step grant-free transmission in simulations.
Demonstrates reliable user identification and data decoding.
Shows performance improvements over existing methods.
Abstract
In this paper, a novel transceiver architecture is proposed to simultaneously achieve efficient random access and reliable data transmission in massive IoT networks. At the transmitter side, each user is assigned a unique protocol sequence which is used to identify the user and also indicate the user's channel access pattern. Hence, user identification is completed by the detection of channel access patterns. Particularly, the columns of a parity check matrix of low-density-parity-check (LDPC) code are employed as protocol sequences. The design guideline of this LDPC parity check matrix and the associated performance analysis are provided in this paper.At the receiver side, a two-stage iterative detection architecture is designed, which consists of a group testing component and a payload data decoding component. They collaborate in a way that the group testing component maps detected…
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Taxonomy
TopicsAdvanced biosensing and bioanalysis techniques · Wireless Communication Security Techniques · Molecular Communication and Nanonetworks
