TY - GEN
T1 - Early HARQ using LLR Trend Analysis
AU - Prasad Kusi, Narayan
AU - Kim, Jiho
AU - Ho Kim, Dong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - One of the key usage scenarios in the scope of 5G is ultra-reliable and low-latency communications (URLLC) and HARQ is one of the inherent parts to make the service reliable and efficient. In this work, we proposed a new and reliable metric for the subcode based early HARQ prediction which adopts NMS (Normalized Min Sum) LDPC decoder. It provides flexible iterative decoding with sub-codes of different lengths for early HARQ prediction using the substructure LDPC parity matrix. The proposed Early HARQ prediction analyses the changing trend of LLR values of variable nodes during iterations and predicts feedback of the decodability based on the trend analysis of posterior LLR values after some iterations. The early HARQ prediction using the LLR trend analysis enables us to provide reliable and earlier feedback making faster retransmissions.
AB - One of the key usage scenarios in the scope of 5G is ultra-reliable and low-latency communications (URLLC) and HARQ is one of the inherent parts to make the service reliable and efficient. In this work, we proposed a new and reliable metric for the subcode based early HARQ prediction which adopts NMS (Normalized Min Sum) LDPC decoder. It provides flexible iterative decoding with sub-codes of different lengths for early HARQ prediction using the substructure LDPC parity matrix. The proposed Early HARQ prediction analyses the changing trend of LLR values of variable nodes during iterations and predicts feedback of the decodability based on the trend analysis of posterior LLR values after some iterations. The early HARQ prediction using the LLR trend analysis enables us to provide reliable and earlier feedback making faster retransmissions.
UR - https://www.scopus.com/pages/publications/85184569150
U2 - 10.1109/ICTC58733.2023.10392480
DO - 10.1109/ICTC58733.2023.10392480
M3 - Conference contribution
AN - SCOPUS:85184569150
T3 - International Conference on ICT Convergence
SP - 285
EP - 287
BT - ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
PB - IEEE Computer Society
T2 - 14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Y2 - 11 October 2023 through 13 October 2023
ER -