Finite Blocklength Error Probability Analysis

Finite Blocklength Error Probability Analysis is a theoretical framework in information theory that characterizes the fundamental limits of reliable communication over noisy channels at finite blocklengths by precisely quantifying the probability of decoding error as a function of blocklength, rate, and channel parameters.

53

Publications

6K

Citations

112

Authors

59

Institutions

Publications per year

2017–2026

25

Authors

112

  1. GD
    Giuseppe Durisi

    Chalmers University of Technology, Sweden

    10 publications · 579 citations

    10

    h-index

  2. YP
    Yury Polyanskiy

    Massachusetts Institute of Technology, United States

    7 publications · 4.1K citations

    7

    h-index

  3. YH
    Yulin Hu

    RWTH Aachen University, Germany

    4 publications · 181 citations

    4

    h-index

  4. AL
    Alejandro Lancho

    Chalmers University of Technology, Sweden

    4 publications · 171 citations

    4

    h-index

  5. EU
    Elif Uysal‐Biyikoglu

    Middle East Technical University, Türkiye

    3 publications · 302 citations

    3

    h-index

1–5 of 112

Venues

  1. IEEE Transactions on Information Theory

    12 publications · 4.4K citations

    11

    h-index

  2. IEEE Transactions on Communications

    4 publications · 127 citations

    4

    h-index

  3. IEEE Transactions on Wireless Communications

    3 publications · 163 citations

    3

    h-index

  4. IEEE Transactions on Vehicular Technology

    3 publications · 210 citations

    3

    h-index

  5. 2

    h-index

1–5