Rate-compatible Polar- and LDPC-Coded Hybrid ARQ aided reverse reconciliation in CV-QKD
Rate-compatible Polar- and LDPC-Coded Hybrid ARQ aided reverse reconciliation in CV-QKD
Continuous-variable quantum key distribution (CV-QKD) systems face challenges in maintaining efficient reconciliation over long distances due to the time variant signal-to-noise ratio (SNR) imposed by channel quality fluctuations. Hence fixed-rate error-correction schemes using low-density parity-check (LDPC) or Polar codes lead to high block-error rates (BLER) and degraded secret key rates (SKR). To overcome this, we propose an incremental redundancy aided hybrid automatic repeat request (IR-HARQ) protocol using rate-compatible Polar and LDPC codes. Explicitly, by puncturing a mother code and progressively transmitting additional redundant bits, our method dynamically adapts the effective coding rate to the prevalent channel conditions, achieving 2–3 dB SNR gains per retransmission. This adaptive strategy avoids unnecessary redundancy in good channels and strengthens protection in poor channels, thereby improving reconciliation efficiency. Simulation results show that our IR-HARQ scheme significantly enhances the BLER, throughput, and secure transmission distance compared with single-transmission schemes. Moreover, our study highlights that Polar IR-HARQ achieves superior performance in short block-length and low-SNR scenarios, while LDPC IR-HARQ is more competitive for longer codes and higher SNR. These findings confirm IR-HARQ as an attractive and versatile reconciliation solution for real-world CV-QKD deployments.
432-446
Wang, Dingzhao
0385e0e5-7687-4d85-9714-5b431733cede
Liu, Xin
18299dbd-af76-4728-ac01-76eb68b2d76a
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
5 January 2026
Wang, Dingzhao
0385e0e5-7687-4d85-9714-5b431733cede
Liu, Xin
18299dbd-af76-4728-ac01-76eb68b2d76a
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Ng, Soon Xin
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Dingzhao, Liu, Xin, Xu, Chao, Ng, Soon Xin and Hanzo, Lajos
(2026)
Rate-compatible Polar- and LDPC-Coded Hybrid ARQ aided reverse reconciliation in CV-QKD.
IEEE Open Journal of Vehicular Technology, 7, .
(doi:10.1109/OJVT.2025.3650700).
Abstract
Continuous-variable quantum key distribution (CV-QKD) systems face challenges in maintaining efficient reconciliation over long distances due to the time variant signal-to-noise ratio (SNR) imposed by channel quality fluctuations. Hence fixed-rate error-correction schemes using low-density parity-check (LDPC) or Polar codes lead to high block-error rates (BLER) and degraded secret key rates (SKR). To overcome this, we propose an incremental redundancy aided hybrid automatic repeat request (IR-HARQ) protocol using rate-compatible Polar and LDPC codes. Explicitly, by puncturing a mother code and progressively transmitting additional redundant bits, our method dynamically adapts the effective coding rate to the prevalent channel conditions, achieving 2–3 dB SNR gains per retransmission. This adaptive strategy avoids unnecessary redundancy in good channels and strengthens protection in poor channels, thereby improving reconciliation efficiency. Simulation results show that our IR-HARQ scheme significantly enhances the BLER, throughput, and secure transmission distance compared with single-transmission schemes. Moreover, our study highlights that Polar IR-HARQ achieves superior performance in short block-length and low-SNR scenarios, while LDPC IR-HARQ is more competitive for longer codes and higher SNR. These findings confirm IR-HARQ as an attractive and versatile reconciliation solution for real-world CV-QKD deployments.
Text
Rate-Compatible_Polar-_and_LDPC-Coded_Hybrid_ARQ_Aided_Reverse_Reconciliation_in_CV-QKD
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Accepted/In Press date: 30 December 2025
Published date: 5 January 2026
Identifiers
Local EPrints ID: 511406
URI: http://eprints.soton.ac.uk/id/eprint/511406
ISSN: 2644-1330
PURE UUID: 9f76cb83-e2fa-4ac4-bd26-85b02d3915f2
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Date deposited: 14 May 2026 16:30
Last modified: 15 May 2026 02:03
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