Network Source Coding

Network Source Coding is a theoretical framework within network information theory that characterizes the efficient and reliable representation of correlated information sources across a communication network, distinguished by its focus on minimizing total transmission cost while exploiting statistical dependencies among distributed sources under joint encoding and decoding constraints.

101

Publications

5.5K

Citations

237

Authors

119

Institutions

Publications per year

2017–2026

5

Authors

237

  1. ME
    Michelle Effros

    California Institute of Technology, United States

    11 publications · 527 citations

    10

    h-index

  2. MB
    Mayank Bakshi

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 111 citations

    5

    h-index

  3. TC
    Terence Chan

    University of South Australia, Australia

    5 publications · 208 citations

    5

    h-index

  4. MG
    Michael Gastpar

    University of California, Berkeley, United States

    4 publications · 901 citations

    4

    h-index

  5. AG
    Alex Grant

    University of South Australia, Australia

    4 publications · 173 citations

    4

    h-index

1–5 of 237

Venues

  1. IEEE Transactions on Information Theory

    19 publications · 3K citations

    17

    h-index

  2. Computer Networks

    8 publications · 168 citations

    8

    h-index

  3. IEEE Communications Letters

    6 publications · 117 citations

    6

    h-index

  4. 3

    h-index

  5. IEEE Transactions on Wireless Communications

    3 publications · 97 citations

    3

    h-index

1–5