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Evict Early, Decode Efficiently: Lightweight Decoding Strategies for Low-Delay Sliding Window RLNC
Foteini Karetsi, Evangelos Papapetrou

Evict Early, Decode Efficiently: Lightweight Decoding Strategies for Low-Delay Sliding Window RLNC

Author / Organization:
Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Random Linear Network Coding (RLNC), and in particular Sliding Window RLNC (SW-RLNC), is a promising approach for reliable, low-latency communication in dynamic environments such as 6G and non-terrestrial networks. While prior work has largely focused on encoder-side parameter tuning, such as the code rate and coding window size, decoder-side design remains comparatively underexplored despite its direct impact on end-to-end performance. This paper addresses decoding window management, namely the policies governing window-boundary updates, removal of obsolete packets, and delivery of recovered packets to upper layers, and shows that these policies critically shape the trade-off between computational complexity and decoding performance, particularly in-order delivery delay. We derive sufficient conditions under which packets can be safely removed from the decoding window without compromising decodability or violating in-order delivery guarantees, and, building on these conditions, propose two lightweight decoding window management schemes. Through extensive simulation-based evaluation across a range of channel conditions and code rates, we show that both schemes preserve decoding efficiency while substantially reducing decoding complexity, and that one additionally achieves a marked reduction in in-order delivery delay. These results establish decoding window management as a key design dimension for practical SW-RLNC systems.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Evict Early, Decode Efficiently: Lightweight Decoding Strategies for Low-Delay Sliding Window RLNC
Author / Organization Foteini Karetsi, Evangelos Papapetrou
Subject & Discipline cs.NI
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-270001
Original Source Link Visit Source Page on arxiv.org »