Senior Staff Research Engineer

Chance Tarver

Wireless systems and DSP at Samsung Research America. Today I lead the Platform Innovation Team within the Advanced MIMO Lab. Previously, Ph.D. at Rice with Joseph Cavallaro. Research interests: digital predistortion, massive MIMO, advanced duplexing, and real-time GPU algorithm development for 6G AI-RAN.

Publications CV

Experience

Samsung Research America
2017–Present
- Senior Staff Research Engineer
  2026–Present
  
  Manage the Platform Innovation Team within the Advanced MIMO Lab. Drive GPU-based AI-RAN testbed development on a cuBB DU with a proprietary MIMO RU, and lead AI-based digital predistortion work for a high-efficiency PA architecture targeting commercial radio units.
- Staff Research Engineer
  2023–2026
  
  Led precommercial development of an upper mid-band (FR3) 256-TRX massive MIMO platform. Coordinated a global cross-functional effort from architecture through lab validation and reported progress to senior leadership.
- Senior Systems Design / Architecture Engineer
  2020–2023
  
  Three concurrent projects across cross-functional teams: sub-band full-duplex (digital SIC and massive-MIMO DPD, simulation through FPGA/RF integration to field evaluation, meeting 5G emission requirements), satellite NR (RACH/HARQ modifications in srsLTE C++, validated on USRP with a channel emulator), and distributed-MIMO field testing for channel reciprocity and calibration.
- RF and PoC Intern
  2017 · 2019
  
  GPU-accelerated LDPC decoder enabling real-time vRAN. LTE spectrum-sharing tools in the CBRS band on LabVIEW Communications and USRP, demonstrating dynamic spectrum access.
Lockheed Martin
Summer 2016

College Student Tech SR. Specialist, Intern

Cyber Solutions IRAD group in Hanover, MD. Designed and delivered a real-time wireless sensing application in GNU Radio on SDR. Working prototype within a single internship term.
Rice University
2014–2022
- Ph.D. in Electrical & Computer Engineering
  2016–2022
  
  Advised by Joseph R. Cavallaro. Dissertation: "Nonlinearity Correction in Massive MIMO Systems via Virtual DPD." Built a neural-network predistortion architecture that operates before precoding in massive MIMO, cutting per-antenna complexity while preserving linearity, validated in simulation and on GPU.
- M.S. in Electrical & Computer Engineering
  2014–2016
  
  Thesis: "Sub-band Digital Predistortion for Noncontiguous Carriers: Implementation and Testing." Reduced-complexity, reduced-sample-rate DPD for LTE carrier aggregation.
Louisiana Tech University
2010–2014
- B.S. in Electrical Engineering
  2010–2014
  
  Senior design: 250 W HF Type-AB broadband power amplifier with 12 dB gain. Design, fabrication, and analysis.
- B.S. in Mathematics
  2010–2014
  
  Advanced study of linear algebra and analysis.

Featured Projects

All projects →

Upper Mid-Band (FR3) Massive MIMO

2023–Present

Leading the platform-side effort on a next-gen 256-TRX massive MIMO platform for the upper mid-band (FR3), where 6G is most likely to live.

FR3 / Upper Mid-band
256-TRX
eXtreme-MIMO
Reciprocity Calibration

GPU-Based AI-RAN

2017–Present

A through-line in my work since 2017: running RAN workloads on commodity GPUs. Started with LDPC decoding for vRAN, now driving AI-RAN testbed development on a cuBB DU with a proprietary MIMO RU.