Sueda Taner

Orcid: 0000-0002-8133-8024

According to our database1, Sueda Taner authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Sparsifying Transforms for mmWave Communication via ℓ<sup>4</sup>-Norm Maximization.
CoRR, January, 2026

2025
Channel Charting in Real-World Coordinates With Distributed MIMO.
IEEE Trans. Wirel. Commun., September, 2025

CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting.
CoRR, June, 2025

Cauchy-Schwarz Regularizers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CSI-Based User Positioning, Channel Charting, and Device Classification with an NVIDIA 5G Testbed.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2023
Alternating Projections Method for Joint Precoding and Peak-to-Average-Power Ratio Reduction.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Channel Charting in Real-World Coordinates.
Proceedings of the IEEE Global Communications Conference, 2023

Channel Charting for Streaming CSI Data.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021
SMUL-FFT: A Streaming Multiplierless Fast Fourier Transform.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO.
IEEE Commun. Lett., 2021

Optimality of the Discrete Fourier Transform for Beamspace Massive MU-MIMO Communication.
Proceedings of the IEEE International Symposium on Information Theory, 2021

ℓ<sup>p</sup>-ℓ<sup>q</sup>-Norm Minimization for Joint Precoding and Peak-to-Average-Power Ratio Reduction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Feature Learning for Neural-Network-Based Positioning with Channel State Information.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021


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