Capacity-achieving Input Distribution

Capacity-Achieving Input Distribution is a probability distribution over the input alphabet of a communication channel that maximizes the mutual information between the channel input and output, thereby achieving the channel's capacity as defined by Shannon's theorem.

101

Publications

5.5K

Citations

206

Authors

121

Institutions

Publications per year

2017–2026

22

Authors

206

  1. SS
    Shlomo Shamai

    Technion – Israel Institute of Technology, Israel

    6 publications · 472 citations

    6

    h-index

  2. ZR
    Zouheir Rezki

    King Abdullah University of Science and Technology, Saudi Arabia

    4 publications · 98 citations

    4

    h-index

  3. MC
    M. Cenk Gursoy

    Syracuse University, United States

    4 publications · 167 citations

    4

    h-index

  4. SM
    Stefan M. Moser

    National Yang Ming Chiao Tung University, Taiwan

    4 publications · 834 citations

    4

    h-index

  5. MA
    Mohamed‐Slim Alouini

    King Abdullah University of Science and Technology, Saudi Arabia

    4 publications · 90 citations

    4

    h-index

1–5 of 206

Venues

  1. IEEE Transactions on Information Theory

    32 publications · 3.4K citations

    24

    h-index

  2. IEEE Transactions on Communications

    10 publications · 277 citations

    10

    h-index

  3. IEEE Transactions on Wireless Communications

    5 publications · 389 citations

    5

    h-index

  4. 3

    h-index

  5. Information and Control

    1 publications · 10 citations

    1

    h-index

1–5