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Wei Wang 0484

dblp:35/7092-484 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0003-0592-4723ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Coding theory · 100%

Topics — the 11 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
error-correcting codes
1.012026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026
Coding theory › error-correcting codes › code construction › code modification
puncturing
1.012026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026
Coding theory › error-correcting codes › forward error correction
rate-compatible codes
1.012026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026
Coding theory › error-correcting codes
reed-muller codes
1.012026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026
Coding theory › error-correcting codes
code construction
0.612022
Block Polarization HARQ for Polar-Coded Modulation · IEEE Trans. Commun. 2022
Coding theory › error-correcting codes
hybrid ARQ
0.612022
Block Polarization HARQ for Polar-Coded Modulation · IEEE Trans. Commun. 2022
Coding theory › channel coding
polar codes
0.612022
Block Polarization HARQ for Polar-Coded Modulation · IEEE Trans. Commun. 2022
Coding theory › channel coding › polar codes
polar-coded modulation
0.612022
Block Polarization HARQ for Polar-Coded Modulation · IEEE Trans. Commun. 2022
Coding theory › source coding
rate allocation
0.612022
Block Polarization HARQ for Polar-Coded Modulation · IEEE Trans. Commun. 2022
Coding theory › error-correcting codes › decoding
list decoding
0.312026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026
Coding theory › error-correcting codes › decoding › list decoding
recursive list decoding
0.312026
Weight Puncturing for Reed-Muller Codes · IEEE Trans. Commun. 2026

Methods — techniques the papers use, named apart from their topics

union bound analysis · 1.0plotkin construction · 1.0gaussian approximation · 0.6density evolution · 0.6
YearPublicationVenuePosition
2026 Weight Puncturing for Reed-Muller Codes
abstract
In order to achieve rate-compatible RM codes, two most effective ways are puncturing and shortening. In this paper, puncturing schemes are studied. Different from the existing spherical puncturing, puncturing schemes which do no change the Plotkin structure of RM codes are proposed, enabling existing decoding techniques be readily accessible. The proposed puncturing schemes are based on Hamming weights of column indices of the generator matrix of RM codes. When Hamming weights of column indices (also determining the column weights, CW) are the same, different strategies are proposed, producing four different puncturing strategies, called CW-IV, CW-LSB, CW-MSB, and CW-MSB-Sym, respectively. Analysis is performed to show the union bound on error performance of RM codes with puncturing. Theoretically, it also shows that the punctured first 1st-order subcode can have potentially better performance than the non-puncturing case if puncturing is properly designed. Simulation results show that the proposed puncturing strategies outperform random and quasi-uniform puncturing (QUP) schemes in terms of block error rate (BLER). Union bound results also confirm that the first 1st-order subcode shows better performance than the original non-puncturing case. This fact indicates a more efficient transmission scheme of RM codes: transmitting part of the original codeword to increase the spectrum efficiency while achieving a better BLER performance under recursive list decoding.
Liping Li 0001, Haisheng Qin, Ling Liu 0003, Yuejun Wei, Baoming Bai, Wei Wang 0484, Yingsong Li 0001, Qiang Li 0020
IEEE Trans. Commun.7
2022 Block Polarization HARQ for Polar-Coded Modulation
abstract
In this paper, we propose a block polarization (BP) scheme as a framework to study polar-coded hybrid automatic repeat request (Polar-HARQ) under bit-interleaved polar-coded modulation (BIPCM). The BP scheme of BIPCM can combine multiple independent polar subcodes to form a longer polar code under the block polarization between polar subcodes. The BP scheme of HARQ further carries out block polarization based on the BP scheme of BIPCM, which can combine multiple transmitted BP schemes of BIPCM together to form a longer polar code. When the underlying channels are non-uniform, such as the polarization effect of high-order modulation will lead to non-uniform reliabilities, it is not suitable to use the fixed sequence (e.g., the polarization weight (PW) sequence or Polar sequence in the 5G standard) to construct polar codes. The underlying channels on each polar subcode have uniform reliability by dividing different blocks according to the reliabilities of the underlying channel. Based on this characteristic of BP scheme, we propose a rate-allocation (RA) method to study fast code construction of BP scheme. The key idea of the proposed RA method is finding out the equivalent channel whose average symmetric capacity equals the target transmission rate. The allocated rates are computed according to the symmetric capacities of split channels under the block polarization between polar subcodes. Then the ranking of bit indices within each polar subcode can be obtained by fixed sequence. In this way, the RA code construction is concise and robust for diverse configurations which are the desired features for practical implementation. Simulation results show that the proposed BP scheme under RA construction can achieve almost identical performance as the Gaussian approximation construction with much lower complexity.
Wei Wang 0484, Jincheng Dai, Kai Niu 0001
IEEE Trans. Commun.1