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Research Output

Effect of filter shape on excess noise performance in continuous variable quantum key distribution with Gaussian modulation

Chin, H-M., Jain, N., Zibar, D., Gehring, T. & Andersen, U. L., 2020, (Submitted) In : arXiv.

Research output: Contribution to journalJournal articleResearchpeer-review

File

Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz

Thrane, J., Zibar, D. & Christiansen, H. L., 2020, (Accepted/In press) In : IEEE Access. 8, 12 p., 8950164.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File

Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission.

Magalhaes Ranzini, S., Da Ros, F., Bülow, H. & Zibar, D., 2020, In : Applied Sciences. 9, 20, 10 p.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
107 Downloads (Pure)

An Overview on Application of Machine Learning Techniques in Optical Networks

Musumeci, F., Rottondi, C., Nag, A., Macaluso, I., Zibar, D., Ruffini, M. & Tornatore, M., 2019, In : IEEE Communications Surveys and Tutorials. 21, 2, p. 1383 - 1408

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
425 Downloads (Pure)

Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz

Thrane, J., Zibar, D. & Christiansen, H. L., 2019, Proceedings of 90th IEEE Vehicular Technology Conference. IEEE, 5 p. 8891306

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Open Access
File
26 Downloads (Pure)

Projects

Activities

  • 1 Conference presentations