5 papers
Rethinking the Foundations of Two-Sided AI Models for 6G
Yongjeong Oh, Zihan Chen, Timothy J. O'Shea +4
For next-generation air interfaces, two-sided artificial intelligence (AI) models have received growing attention, with AI models deployed at both the transmitter and receiver for…
GPU-Resident CUDA Acceleration for OCUDU 5G PHY and O-RAN Fronthaul: Architecture and Preliminary Performance
Matthew Pennybacker, Wan Liu, Andriy Kharchenko +1
This paper describes DeepSig's CUDA-based acceleration backend for the OCUDU physical layer and O-RAN fronthaul path, integrated through acceleration interfaces that are largely in…
Neural Beamforming with Doppler-Aware Sparse Attention for High Mobility Environments
Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu +1
Beamforming has significance for enhancing spectral efficiency and mitigating interference in multi-antenna wireless systems, facilitating spatial multiplexing and diversity in den…
Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels
Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu +2
The literature is abundant with methodologies focusing on using transformer architectures due to their prominence in wireless signal processing and their capability to capture long…
How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data
Johnathan Corgan, Nitin Nair, Rajib Bhattacharjea +4
In this paper, we consider the importance of channel measurement data from specific sites and its impact on air interface optimization and test. Currently, a range of statistical c…