Zhibin Zou

Recent Projects

Generalizing Deep Learning for Wireless Communication

NSF CAREER, advised by Prof. Aveek Dutta, 2021-Present | Project Page

This project aims to generalizes the architecture of a Deep Learning (DL) based wireless transceiver that will consistently operate with low error rate in all types of wireless channels, but especially outperform the state of the art in future xG channels. My contributions of this work is summarized as: 1) derived a High-order Generalized Mercer's Theorem (HOGMT) for non-stationary channels decomposition, by which the non-stationary channels can be decomposed into independently fading sub-channels, 2) proposed a unified charaterization method for non-stationary channels, and 3) proposed a HOGMT based spatio-temporal precoding to cancel spatial, temporal and jointly spatio-temporal interference. Currently, I am working on the robust algorithm design for HOGMT-precoding.

SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services

NSF SWIFT, co-advised by Prof. Aveek Dutta and Prof. Dola Saha, 2022-Present | Project Page

The objectives of this project are to accurately estimate the RFI incident at the telescope and to configure the RIS so the reflected signal arriving at the telescope receiver precisely cancels the incident RFI. My contributions are: 1) Assisted in preparing the project proposal, 2) proposed a phase and engergy solution for RIS elements to cancel RFI at telescope by reflecting the incident RFI, and 3) gave an error boundary for given localization error.

Collaborative RFI Cancellation for Radio Astronomy

NSF SWIFT, co-advised by Prof. Aveek Dutta and Prof. Dola Saha, 2022-Present | Project Page

This project focuses on active interference cancellation at the telescope supported by active bidirectional collaboration between the telescope and neighboring cellular networks. I am currently working on extracting astronomic signal from composite signal at telescope under the RFI by Bussbang theorem.

Robust Assembly of Compliant Modular Robots

NSF Collaborative Research: RI: Medium, advised by Prof. Weifu Wang, 2019-2021 | Project Page

  

This project explores how flexible robots can be designed to move and join together to form larger structures, such as temporary antennas, tent supports, bridges, or tunnel reinforcements. My contributions are: 1) defined the point-edge contact model for peg-in-hole problem, and 2) proposed an optimization for error-tolerating peg and socket joints with respect to insertion and stability.

Publications

The publications are mainly on three domains: wireless communication, robotics and target tracking.

Journals:

1. Multi-dimensional Eigenwave Multiplexing (MEM): A General Modulation Beyond OTFS
   Z ZOU, A Dutta
   IEEE Transactions on Communications | (Under Review)

2. Waveforms for xG Non-stationary Channels
   Z ZOU, A Dutta
   arXiv:2301.00454

3. Joint Spatio-Temporal Precoding for Practical Non-Stationary Wireless Channels
   Z ZOU, M Careem, A Dutta, N Thawdar
   IEEE Transactions on Communications | paper

4. Optimizing towards the best insertion-based error-tolerating joints
   Z Zou
   arXiv:2209.15147 | paper | video

5. Labeled box-particle CPHD filter for multiple extended targets tracking
   Z ZOU, L Song, X Cheng
   Journal of Systems Engineering and Electronics | paper

6. Group target tracking algorithm based on labeled box particle probability hypothesis density
   X Cheng, L Song, H Ji, Z ZOU
   Systems Engineering and Electronics | paper

Conferences:

1. Adaptive Neural Network for Deconstructing Multi-dimensional Channel Kernels
   I Amarasekara, Z ZOU, A Dutta
   IEEE Vehicular Technology Conference (VTC) 2024 | paper

2. Learning to Decompose Asymmetric Channel Kernels for Generalized Eigenwave Multiplexing
   Z ZOU, I Amarasekara, A Dutta
   IEEE INFOCOM 2024 | paper

3. Capacity Achieving by Diagonal Permutation for MU-MIMO channels
   Z ZOU, A Dutta
   IEEE Global Communications Conference (GLOBECOM) 2023 | paper

4. Mutidimensional Eigenwave Multiplexing Modulation for Non-stationary Channels
   Z ZOU, A Dutta
   IEEE Global Communications Conference (GLOBECOM) 2023 | paper

5. SCISRS: Signal Cancellation using Intelligent Surfaces for Radio Astronomy Services
   Z ZOU, X Wei, D Saha, A Dutta, G Hellbourg
   IEEE Global Communications Conference (GLOBECOM) 2022 | paper

6. Unified Characterization and Precoding for Non-Stationary Channels
   Z ZOU, M Careem, A Dutta, N Thawdar
   IEEE International Conference on Communications (ICC) 2022 [Best Paper Award] | paper

7. Multiple group target tracking with evolving networks and labeled box particle PHD filter
   X Cheng, L Song Z Zou
   Chinese Control And Decision Conference (CCDC) 2018 | paper

8. Labeled box-particle PHD filter for multi-target tracking
   Z Zou, L Song, X Cheng
   IEEE International Conference on Computer and Communications (ICCC) 2017 | paper

Patents:

1. Passive Box-particle PHD multi-target tracking based on TDOA
   L Song, Y Pan, Z Zou, H Ceng, P Yang, J Chai, F Song, F Wang
   CN Patent, CN108981707B (Granted) | patent

2. A evaluation for the multple group and extended target ellipse shape estimation
   L Song, H Cent, Y Pan, P Yang, Z Zou, F Wang, F Song, J Chai
   CN Patent, CN109683150A (Granted) | patent

3. Front vehicles distance measuring based on deep learning
   L Song, P Yang, H Ceng, Y Pan, Z Zou, F Wang, F Song, J Chai
   CN Patent, CN109509223A (Filed) | patent