Secrecy Rate Optimization

Secrecy Rate Optimization is a mathematical framework in physical layer security that characterizes the maximization of the rate at which information can be securely transmitted over a wireless channel in the presence of eavesdroppers, distinguished from related optimization frameworks by its explicit focus on the difference between the channel capacity of the legitimate receiver and that of the wiretapper.

992

Publications

56.5K

Citations

1.8K

Authors

515

Institutions

Publications per year

2017–2026

647

Authors

1.8K

  1. HW
    Hui‐Ming Wang

    Xi'an Jiaotong University, China

    30 publications · 2.6K citations

    25

    h-index

  2. ZC
    Zheng Chu

    University of Surrey, United Kingdom

    28 publications · 2.3K citations

    25

    h-index

  3. ZH
    Zhu Han

    University of Houston, United States

    30 publications · 3.1K citations

    22

    h-index

  4. DW
    Derrick Wing Kwan Ng

    UNSW Sydney, Australia

    24 publications · 1.9K citations

    21

    h-index

  5. QW
    Qingqing Wu

    Shanghai Jiao Tong University, China

    20 publications · 3K citations

    19

    h-index

1–5 of 1.8K

Venues

  1. IEEE Transactions on Vehicular Technology

    117 publications · 7.5K citations

    50

    h-index

  2. IEEE Transactions on Communications

    74 publications · 5.6K citations

    44

    h-index

  3. IEEE Transactions on Wireless Communications

    75 publications · 6.1K citations

    42

    h-index

  4. 37

    h-index

  5. IEEE Communications Letters

    82 publications · 4.4K citations

    35

    h-index

1–5