EDBT 2026 Demo / reviewers in the wild / expert
Min-Ho Jang
dblp:34/1804
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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
1 paper |
Coding theory · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › decoding
decoding algorithms |
0.1 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory
error-correcting codes |
0.1 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory › error-correcting codes
LDPC codes |
0.1 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory › error-correcting codes › decoding › iterative decoding
message-passing decoding |
0.1 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory › error-correcting codes › decoding
sequential decoding |
0.1 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory › error-correcting codes › decoding › iterative decoding
density evolution |
0.0 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Coding theory
gaussian approximation |
0.0 | 1 | 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodes · IEEE Trans. Commun. 2008 |
Methods — techniques the papers use, named apart from their topics
message passing · 0.1gaussian approximation · 0.1density evolution · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | A New Criterion for Retransmission in Type I H-ARQ Schemes of LDPC Coded OFDM SystemsabstractIn this paper, a new criterion for reordering of low-density parity-check (LDPC) coded orthogonal frequency division multiplexing (OFDM) subframes is proposed for type I hybrid automatic repeat request (H-ARQ) systems. It is verified from numerical analysis that a subframe reordering pattern having larger channel capacity shows better bit error rate (BER). Also, it is shown that the subframe reordering pattern achieving equal combined power allocation for each subframe maximizes the channel capacity and outperforms other subframe reordering patterns in terms of BER performance. Simulation results are provided to confirm that for a very slow varying fading channel, the proposed subframe reordering scheme for achieving equal combined power allocation gives better BER performance than the conventional Chase combining scheme without increasing the decoding complexity. Min-Ho Jang, Beomkyu Shin, Jong-Seon No, Sang-Hyo Kim, Dong-Joon Shin |
VTC Fall | 1 |
| 2008 | Sequential message-passing decoding of LDPC codes by partitioning check nodesabstractIn this paper, we analyze the sequential message- passing decoding algorithm of low-density parity-check (LDPC) codes by partitioning check nodes. This decoding algorithm shows better bit error rate (BER) performance than the conventional message-passing decoding algorithm, especially for the small number of iterations. Analytical results indicate that as the number of partitioned subsets of check nodes increases, the BER performance is improved. We also derive the recursive equations for mean values of messages at check and variable nodes by using density evolution with a Gaussian approximation. From these equations, the mean values are obtained at each iteration of the sequential decoding algorithm and the corresponding BER values are calculated. They show that the sequential decoding algorithm converges faster than the conventional one. Finally, the analytical results are confirmed by the simulation results. Sunghwan Kim 0001, Min-Ho Jang, Jong-Seon No, Songnam Hong 0001, Dong-Joon Shin |
IEEE Trans. Commun. | 2 |