activity
20182026
most citedRate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends

834 citations · 974 across the 27 of their papers we have counts for

collaborators

36 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…

cs.IT2024

SpikingRx: From Neural to Spiking Receiver

Ankit Gupta, Onur Dizdar, Yun Chen +1

In this work, we propose an energy efficient neuromorphic receiver to replace multiple signal-processing blocks at the receiver by a Spiking Neural Network (SNN) based module, call…

cs.IT2023★ 1 cited

Rate-Splitting Multiple Access for Semantic-Aware Networks: an Age of Incorrect Information Perspective

Onur Dizdar, Stephen Wang

In this letter, we design a downlink multi-user communication framework based on Rate-Splitting Multiple Access (RSMA) for semantic-aware networks. First, we formulate an optimizat…