Yang Jie

PhD Student in Fudan University
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Love life, love work, love myself.

Passionate and enthusiastic about everything.

Research

Jie Yang, W Hu, others, Complexity-Scalable Near-Optimal TransceiverDesign for Massive MIMO-BICM Systems, IEEE Journal on Selected Areas in Communications，2026.

Jie Yang, W Hu, Yi J, Achievable Rate Maximization in MIMO-BICM systems: A Unified Transceiver Design, IEEE Transactions on Signal Processing，2025.

Jie Yang, W Hu, Yi J, Parallel Channel Bidiagonalization Based Transceiver Design for Massive MIMO Communications, Signal Processing，2025.

Jie Yang, W Hu, Yi J, Complexity-Scalable Near-Optimal Transceiver Design for MIMO-BICM Systems with Ill-Conditioned Channel Matri, IEEE Globecom 2025.

Jie Yang, W Hu, Yi J, Large Language Models for Beam Prediction Under the mmWave Ultra-Massive MIMO Hybrid-field Channel, IEEE Communication Letters，2026.

Jie Yang, Q Du, Yi J, Neural Network-Assisted Receiver Design via Learning Trellis Diagram Online, IEEE Transactions on Communications，2023.

Jie Yang, W Hu, Yi J, Channel Bi-Diagonalization for MIMO Communications, IEEE Wireless Communication Letter，2023.

Jie Yang, Q Du, Yi J, Neural network-assisted robust symbol detection under intersymbol interference, IEEE CIC 2021.

Jie Yang, W Hu, Yi J, Parallel Channel Bidiagonalization for Massive MIMO Systems, IEEE CIC 2024.

W Hu, Jie Yang, others, Parametric MIMO-OFDM Channel Estimation: A Quasi Neural Network Approach, IEEE Transactions on Communications， 2025.

W Hu, Jie Yang, Yi J, Phase rotated uniform channel decomposition for MIMO-OFDM communications, Signal Processing， 2025.

W Hu, Jie Yang, Yi J, Quasi Neural Network assisted Channel Estimation for MIMO-OFDM, IEEE ICCT 2024.

W Hu, Jie Yang, others, Novel Backpropagation Algorithm for Delay-Doppler Sensing based on Zak-OTFS, IEEE globecom 2025.

Y Zh, Jie Yang, others, ISAC-NN: A Deep Neural Network for Efficient Downlink Beamforming in Integrated Sensing and Communication Systems, IEEE ICCC 2025.

Experiences

PhD Student

Fudan University | 2023 - 2027

MIMO transceiver design under the finite alphabet inputs.

Algorithm Engineer

Huawei | 2022 - 2023

Resource Allocation in MAC layer

  • Vectorization scheme for MU grouping.
  • Joint optimization of the resource allocation in the PDSCH;
  • PDCCH channel resource allocation algprithm design
  • The time complexity is all reduced from O(NlogN) to a constant.

Projects

Super Bluetooth Self-Organizing Network

Key Special Project of National Key Research

Development Program-New Form Multifunctional Indoor Intelligent Lighting Key Technology System Integration

  • Realize Turbo equalization and design the demodulation and decoding algorithm for GFSK signals
  • Improves the decoding performance by 5-6dB over the optimal Viterbi algorithm under both single-path and multipath channels
  • A new demodulation and decoding algorithm based on Turbo equalization and Viterbi demodulation and decoding is proposed, which is applicable to single-path channels, with 3-4dB improvement compared with the traditional Viterbi algorithm, and is highly robust to modulation index and frequency deviation, and does not need to know the channel information under flat fading channels.
  • The OLTD algorithm is proposed by innovatively combining deep learning with Turbo equalization (Academic Achievement) The algorithm achieves the performance of traditional algorithms under perfect CSI without knowing the channel information.
  • Information theory and Monte Carlo method are utilized to calculate the channel capacity of GFSK signals and to study the BER theoretical performance limits of GFSK modulation.

    • Non-Linear Transceiver Project

    Huawei

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  • Build 5G-NR simulator and implement LDPC codec part, familiar with NR physical layer protocol and flow.