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Onur Dizdar

4 papers hereh-index 222.2k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.IT1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

eess.SP2026

ETSI ISG MAT: Bridging Multiple Access Techniques Research and 6G Standardisation

Dheeraj Raja Kumar, Mert Ozates, Yong Jin Daniel Kim +11

Improved spectral efficiency and inter-user interference mitigation are important aspects of IMT-2030 and the ongoing 3GPP 6G study. ETSI established the Industry Specification Gro…

cs.IT2025

Low-Complexity OFDM Deep Neural Receivers

Ankit Gupta, Onur Dizdar, Yun Chen +3

Deep neural receivers (NeuralRxs) for Orthogonal Frequency Division Multiplexing (OFDM) signals are proposed for enhanced decoding performance compared to their signal-processing b…

cs.NE2025

NeuromorphicRx: From Neural to Spiking Receiver

Ankit Gupta, Onur Dizdar, Yun Chen +3

In this work, we propose a novel energy-efficient spiking neural network (SNN)-based receiver for 5G-NR OFDM system, called neuromorphic receiver (NeuromorphicRx), replacing the ch…

eess.SP2025

Rate-Splitting Multiple Access for 6G: Prototypes, Experimental Results and Link/System level Simulations

Sundar Aditya, Yong Jin Daniel Kim, David Vargas +7

Rate-Splitting Multiple Access (RSMA) is a powerful and versatile physical layer multiple access technique that generalizes and has better interference management capabilities than…

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