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Communication Dans Un Congrès Année : 2024

Advanced Iteration Overlap for Low-Latency Turbo Decoding

Résumé

Increasing the parallelism of a turbo decoder significantly constrains the inherently recursive decoding algorithm and limits its ability to efficiently achieve high decoding throughputs and to lower latency. This is partly due to the interleavers that impose precedence constraints when exchanging extrinsic information between the constituent decoders. In this paper, we introduce the notion of a generalized decoding schedule, which enables to configure the order in which decoder metrics and extrinsic information are exchanged during the decoding process. This schedule is generally inferred from the choices related to the hardware architecture and its parallelism degree. By following the proposed framework, it is possible to evaluate the achieved latency of any decoding schedule at a given operating point. We then propose a novel iteration overlap decoding schedule that can strike an excellent performance/latency tradeoff: Corresponding simulation results show that latency can be reduced by half for high rate LTE decoders for a given error rate target.
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mercredi 11 septembre 2024
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Dates et versions

hal-04608337 , version 1 (11-06-2024)

Identifiants

  • HAL Id : hal-04608337 , version 1

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Jeremy Nadal, Stefan Weithoffer, Charbel Abdel Nour, Catherine Douillard. Advanced Iteration Overlap for Low-Latency Turbo Decoding. ISWCS : 19th International Symposium on Wireless Communication Systems (ISWCS), Jul 2024, Rio de Janeiro (BRAZIL), Brazil. ⟨hal-04608337⟩
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