Wanlu Lei

Power-efficient for parallel reinforcement learning beam tracking methods in mmWave, a Data-driven approach. Deep Reinforcement learning based algorithm for spectrum allocation in IAB networks. Bayesian classification method for efficient beam tracking in multi-user network (patent preparing). Clustering-based method in beam tracking for overhead reduction. Distributed algorithm with reinforcement learning in industrial IoT applications (submitted to IEEE Journal of IoT 2021) PCA-assisted for functional split of intra-PHY in massive MIMO system (conf paper accepted to VTC2019, one submitted to WCNC 2022)

Worked with team to develop new high-speed products for Baseband and Radio Unit. Optical pigtail (10Gbps) design and verification for ERAN project with SoftBank, perform hardware&software test and simulation. Optical 25Gb/s link with embedded waveguides (published in ECOC 2015). Mentor new-onboarding employee in verification data analysis and lab activity. Planned and scheduled design phases to optimize productivity. Attended supplier and design meetings.

Study common-mode signal for interconnect products. Design magnetic probe for EMI leakage detection at high speed transmission interface at 10Ghz frequency.

Single-phase intelligent meter

Study of wireless communications with reinforcement learning

Thesis on Signal Integrity Analysis for interconnect product in Radio and Baseband.

Thesis on Compressive Sensing (CS) in OFDM system channel estimation.