Low Complexity High Throughput Coding Scheme for 6G Immersive Communication

The immersive communication scenario in 6G, stemming from the enhanced mobile broadband (eMBB) scenario in 5G, demands low-complexity high-throughput channel coding scheme due to its huge data traffic. The current data channel coding scheme of eMBB, i.e., 5G new radio (5G-NR) low-density parity-chec...

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Bibliographic Details
Published in:IEEE Globecom Workshops pp. 1 - 6
Main Authors: An, Xia, Zhang, Chao, Peng, Kewu, He, Zhitong, Song, Jian
Format: Conference Proceeding
Language:English
Published: IEEE 08.12.2024
Subjects:
6G mobile communication
adaptive quantized and normalized min-sum algorithm (AQNMSA)
Channel coding
Complexity theory
Decoding
Hardware
high throughput
immersive communication
Iterative decoding
low complexity
Message passing
Quantization (signal)
Simulation
spatially-coupled low-density parity-check (SC-LDPC) codes
Throughput
ISSN:2166-0077
Online Access:Get full text
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Summary:The immersive communication scenario in 6G, stemming from the enhanced mobile broadband (eMBB) scenario in 5G, demands low-complexity high-throughput channel coding scheme due to its huge data traffic. The current data channel coding scheme of eMBB, i.e., 5G new radio (5G-NR) low-density parity-check (LDPC) codes, shows limitation on further improvements of high throughput due to their highly irregular base graph structure. In this paper, we first introduce a rate compatible quasi-cyclic (QC-) spatially-coupled (SC-) LDPC code structure, and then apply an adaptive quantized and normalized min-sum algorithm (AQNMSA) with very low message passing bit-width of 4-bit to the QC-SC-LDPC codes. The asymptotic decoding thresholds provided by multi-edge-type density evolution tool and the simulation results both show that QC-SC-LDPC codes with 4-bit AQNMSA have better decoding performance than conventional non-adaptive normalized min-sum algorithm as well as approaching decoding performance compared to 5G-NR LDPC codes with optimal belief propagation decoding. In general, QC-SC-LDPC codes with AQNMSA, row-parallel architecture, and layered-scheduling sliding window decoding could achieve superior decoding performance than current coding scheme, including at least 30 times of throughput gain and better decoding performance with lower decoding complexity.
ISSN:2166-0077
DOI:10.1109/GCWkshp64532.2024.11100961