6 papers
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms
Yongan Zhang, Anton Banta, Yonggan Fu +6
There exists a gap in terms of the signals provided by pacemakers (i.e., intracardiac electrogram (EGM)) and the signals doctors use (i.e., 12-lead electrocardiogram (ECG)) to diag…
Design Trade-offs for Decentralized Baseband Processing in Massive MU-MIMO Systems
Kaipeng Li, James McNaney, Chance Tarver +4
Massive multi-user (MU) multiple-input multiple-output (MIMO) provides high spectral efficiency by means of spatial multiplexing and fine-grained beamforming. However, conventional…
Design and Implementation of a Neural Network Based Predistorter for Enhanced Mobile Broadband
Chance Tarver, Alexios Balatsoukas-Stimming, Joseph R. Cavallaro
Digital predistortion is the process of correcting for nonlinearities in the analog RF front-end of a wireless transmitter. These nonlinearities contribute to adjacent channel leak…
Decentralized Coordinate-Descent Data Detection and Precoding for Massive MU-MIMO
Kaipeng Li, Oscar Castaneda, Charles Jeon +2
Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-sta…
Decentralized Equalization with Feedforward Architectures for Massive MU-MIMO
Charles Jeon, Kaipeng Li, Joseph R. Cavallaro +1
Linear data-detection algorithms that build on zero forcing (ZF) or linear minimum mean-square error (L-MMSE) equalization achieve near-optimal spectral efficiency in massive multi…
Feedforward Architectures for Decentralized Precoding in Massive MU-MIMO Systems
Kaipeng Li, Charles Jeon, Joseph R. Cavallaro +1
Massive multi-user multiple-input multiple-output (MU-MIMO) enables significant gains in spectral efficiency and link reliability compared to conventional small-scale MIMO technolo…