Information-theoretic Capacity

Information-Theoretic Capacity is the maximum achievable rate of reliable information transmission over an underwater acoustic communication channel, as determined by the channel's statistical properties and noise characteristics within the framework of Shannon's information theory.

1.7K

Publications

179.7K

Citations

2.7K

Authors

982

Institutions

Publications per year

2017–2026

304

Authors

2.7K

  1. SS
    Shlomo Shamai

    Technion – Israel Institute of Technology, Israel

    41 publications · 8.7K citations

    25

    h-index

  2. SA
    Syed A. Jafar

    University of California, Irvine, United States

    23 publications · 6.6K citations

    19

    h-index

  3. MA
    Mohamed‐Slim Alouini

    King Abdullah University of Science and Technology, Saudi Arabia

    28 publications · 1.1K citations

    17

    h-index

  4. AL
    Amos Lapidoth

    ETH Zurich, Switzerland

    19 publications · 2.3K citations

    16

    h-index

  5. HV
    H. Vincent Poor

    Princeton University, United States

    27 publications · 2.4K citations

    16

    h-index

1–5 of 2.7K

Venues

  1. IEEE Transactions on Information Theory

    280 publications · 50.1K citations

    97

    h-index

  2. IEEE Transactions on Communications

    68 publications · 6.2K citations

    32

    h-index

  3. IEEE Transactions on Wireless Communications

    47 publications · 3.9K citations

    30

    h-index

  4. IEEE Communications Letters

    39 publications · 2.3K citations

    27

    h-index

  5. arXiv (Cornell University)

    Repository · 33 publications · 1.6K citations

    21

    h-index

1–5