activity
20162025
most citedLow-Complexity Sub-band Digital Predistortion for Spurious Emission Suppression in Noncontiguous Spectrum Access

22 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Sim2Field: End-to-End Development of AI RANs for 6G

Russell Ford, Hao Chen, Pranav Madadi +17

Following state-of-the-art research results, which showed the potential for significant performance gains by applying AI/ML techniques in the cellular Radio Access Network (RAN), t…

cs.IT2019

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…

eess.SP2019

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…

cs.DC2016★ 1 cited

Parallel Digital Predistortion Design on Mobile GPU and Embedded Multicore CPU for Mobile Transmitters

Kaipeng Li, Amanullah Ghazi, Chance Tarver +6

Digital predistortion (DPD) is a widely adopted baseband processing technique in current radio transmitters. While DPD can effectively suppress unwanted spurious spectrum emissions…

cs.IT2016★ 22 cited

Low-Complexity Sub-band Digital Predistortion for Spurious Emission Suppression in Noncontiguous Spectrum Access

Mahmoud Abdelaziz, Lauri Anttila, Chance Tarver +3

Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Du…