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Sorting-Based Soft-Demapping Algorithm for LoRa Systems
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DOI：10.1109/LCOMM.2024.3395474.png)
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摘要
En 中文
In low-complexity long-range (LoRa) systems, the prevailing decoding technique is based on hard-decision information due to the computationally intensive nature of the conventional maximum a posteriori probability in log-domain (Max-Log-MAP) soft demapper. In this letter, we propose a sorting-based soft-demapping (SSD) algorithm for LoRa systems. Our proposed algorithm reduces the complexity order of the soft-demapper from O(M log M-2) to O(M), where M=2(SF) and SF represents the spreading factor, thus matching the complexity of hard decision. Importantly, this complexity reduction does not lead to any substantial performance degradation when compared to the Max-Log-MAP demapper. As a result, soft decoding can be employed in low-complexity LoRa systems to effectively enhance receiver sensitivity.
Keyword:
Complexity theory
Symbols
Modulation
Decoding
Approximation algorithms
Chirp
Quadrature amplitude modulation
LoRa modulation
soft demapper
Max-Log-MAP demapper
log-likelihood ratio
