Cognitive Interference Mitigation

Cognitive Interference Mitigation is a radio frequency interference mitigation framework that dynamically identifies, characterizes, and adapts to interference sources by leveraging real-time spectrum sensing, machine learning, and decision-making mechanisms to autonomously optimize signal reception in congested electromagnetic environments.

287

Publications

13.5K

Citations

838

Authors

386

Institutions

Publications per year

2017–2026

66

Authors

838

  1. SC
    Symeon Chatzinotas

    University of Luxembourg, Luxembourg

    11 publications · 557 citations

    11

    h-index

  2. BO
    Björn Ottersten

    University of Luxembourg, Luxembourg

    10 publications · 391 citations

    10

    h-index

  3. AF
    Anthony F. Martone

    DEVCOM Army Research Laboratory, United States

    10 publications · 312 citations

    10

    h-index

  4. KD
    Kelly D. Sherbondy

    DEVCOM Army Research Laboratory, United States

    8 publications · 256 citations

    8

    h-index

  5. RM
    Ram M. Narayanan

    Pennsylvania State University, United States

    5 publications · 140 citations

    5

    h-index

1–5 of 838

Venues

  1. IEEE Transactions on Wireless Communications

    10 publications · 604 citations

    10

    h-index

  2. IEEE Transactions on Communications

    9 publications · 428 citations

    9

    h-index

  3. IEEE Transactions on Vehicular Technology

    7 publications · 437 citations

    7

    h-index

  4. 6

    h-index

  5. IEEE Wireless Communications

    6 publications · 375 citations

    6

    h-index

1–5