World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
10763
World Ranking
11896
National Ranking
4848

Overview

Danijela Cabric is affiliated with the University of California, Los Angeles in the United States. Their research is concentrated primarily within the fields of Engineering and Computer Science, with a specific focus on Electrical and Electronic Engineering, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications, and Signal Processing.

The scientist has contributed extensively to topics that include Millimeter-Wave Propagation and Modeling, Microwave Engineering and Waveguides, Advanced MIMO Systems Optimization, Wireless Signal Modulation Classification, Radio Frequency Integrated Circuit Design, Full-Duplex Wireless Communications, and Indoor and Outdoor Localization Technologies.

Their publication record includes papers in various venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Cognitive Communications and Networking
  • IEEE Journal of Solid-State Circuits

Among recent papers authored or co-authored by Danijela Cabric are:

  • WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting (2022), IEEE Access
  • Fast Beam Training With True-Time-Delay Arrays in Wideband Millimeter-Wave Systems (2021), IEEE Transactions on Circuits and Systems I Regular Papers
  • Rainbow-Link: Beam-Alignment-Free and Grant-Free mmW Multiple Access Using True-Time-Delay Array (2022), IEEE Journal on Selected Areas in Communications
  • Multi-Mode Spatial Signal Processor With Rainbow-Like Fast Beam Training and Wideband Communications Using True-Time-Delay Arrays (2022), IEEE Journal of Solid-State Circuits
  • Wideband Beamforming With Rainbow Beam Training Using Reconfigurable True-Time-Delay Arrays for Millimeter-Wave Wireless [Feature] (2022), IEEE Circuits and Systems Magazine

Collaboration appears significant in Danijela Cabric's career, with frequent co-authors including Samer Hanna, Veljko Boljanovic, Enes Krijestorac, Subhanshu Gupta, and Yan Han. These partnerships reflect a consistent involvement in team-based research efforts.

Best Publications

  • Implementation issues in spectrum sensing for cognitive radios

    D. Cabric;S.M. Mishra;R.W. Brodersen

  • Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection

    D. Cabric;A. Tkachenko;R.W. Brodersen

  • Experimental study of spectrum sensing based on energy detection and network cooperation

    Danijela Cabric;Artem Tkachenko;Robert W. Brodersen

  • Physical layer design issues unique to cognitive radio systems

    D. Cabric;R.W. Brodersen

  • Spectrum sharing radios

    D. Cabric;I.D. O'Donnell;M.S.-W. Chen;R.W. Brodersen

  • A real time cognitive radio testbed for physical and link layer experiments

    S.M. Mishra;D. Cabric;C. Chang;D. Willkomm

  • Cognitive radio: Ten years of experimentation and development

    P Pawelczak;K Nolan;L Doyle;Ser Wah Oh

  • Reputation-based cooperative spectrum sensing with trusted nodes assistance

    Kun Zeng;P. Paweczak;D. Cabric

  • Energy Detection Based Spectrum Sensing Over $\kappa{-}\mu$ and $\kappa{-}\mu$ Extreme Fading Channels

    P. C. Sofotasios;E. Rebeiz;Li Zhang;T. A. Tsiftsis

  • Weighted Centroid Localization Algorithm: Theoretical Analysis and Distributed Implementation

    Jun Wang;P. Urriza;Yuxing Han;D. Cabric

  • Cyclostationary Feature Detector Experiments Using Reconfigurable BEE2

    A. Tkachenko;A.D. Cabric;R.W. Brodersen

  • Addressing feasibility of cognitive radios

    D. Cabric

  • Cognitive radios: System design perspective

    Danijela Branislav Cabric

  • Performance and Cramer–Rao Bounds for DoA/RSS Estimation and Transmitter Localization Using Sectorized Antennas

    Janis Werner;Jun Wang;Aki Hakkarainen;Danijela Cabric

  • A Wideband Spectrum-Sensing Processor With Adaptive Detection Threshold and Sensing Time

    Tsung-Han Yu;O. Sekkat;S. Rodriguez-Parera;D. Markovic

  • Novel radio architectures for UWB, 60 GHz, and cognitive wireless systems

    Danijela Cabric;Mike S. W. Chen;David A. Sobel;Stanley Wang

  • Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks

    Jun Wang;Jianshu Chen;D. Cabric

  • Future wireless systems: UWB, 60GHz, and cognitive radios

    D. Cabric;M.S.W. Chen;D.A. Sobel;Jing Yang

  • Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test

    Paulo Urriza;Eric Rebeiz;Danijela Cabric

  • Primary User Traffic Estimation for Dynamic Spectrum Access

    W. Gabran;Chun-Hao Liu;P. Pawelczak;D. Cabric

  • Optimizing Wideband Cyclostationary Spectrum Sensing Under Receiver Impairments

    Eric Rebeiz;Paulo Urriza;Danijela Cabric

  • Detecting and Counteracting Statistical Attacks in Cooperative Spectrum Sensing

    F. Penna;Yifan Sun;L. Dolecek;D. Cabric

  • Fast Beam Training With True-Time-Delay Arrays in Wideband Millimeter-Wave Systems

    Veljko Boljanovic;Han Yan;Chung-Ching Lin;Soumen Mohapatra

  • Weighted Centroid Algorithm for Estimating Primary User Location: Theoretical Analysis and Distributed Implementation

    Jun Wang;Paulo Urriza;Yuxing Han;Danijela Cabric

Frequent Co-Authors

Mikko Valkama
Mikko Valkama Tampere University
Robert W. Brodersen
Robert W. Brodersen University of California, Berkeley
Dejan Markovic
Dejan Markovic University of California, Los Angeles
Deukhyoun Heo
Deukhyoun Heo Washington State University
Ahmed M. Eltawil
Ahmed M. Eltawil King Abdullah University of Science and Technology
Mario Gerla
Mario Gerla University of California, Los Angeles
Jiangtao Wen
Jiangtao Wen Tsinghua University
Zhangdui Zhong
Zhangdui Zhong Beijing Jiaotong University
Petar Popovski
Petar Popovski Aalborg University
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science opens the door to various high-growth fields, many of which are accessible through flexible online programs and certifications. For those interested in deepening their scientific understanding, an online bachelor’s degree in physics offers an affordable way to build strong analytical skills and boost your tech credentials.

Specializing further is possible with online master’s degrees tailored to emerging industries. If big data intrigues you, consider the cheapest master in data science programs to gain high-demand skills in AI, analytics, and machine learning. Similarly, those who see their future in innovative hardware or electrical systems should look into an online master’s in electrical engineering degree.

Not all pathways require years of study. There are also easy licenses and certifications to get, which can lead to well-paying tech jobs or help you quickly add specialized expertise to your résumé. Exploring these options can help you find a career path that matches your goals, time frame, and budget.

Best Scientists Citing Danijela Cabric

Trending Scientists