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@LS-Wireless

LS Wireless Lab

Research group focused on signal processing, optimization, and machine learning for next-generation wireless networks (ISAC, RIS, Cell-Free MIMO).

LS Wireless Lab at UC Irvine

Signal Processing, Optimization, & AI/ML for Next-Gen Wireless Networks


🔬 About Us

LS Wireless Lab is a research group at the University of California, Irvine, focusing on signal processing, optimization, and machine learning for next-generation wireless communication systems. Our research is motivated by emerging technologies in:

  • Integrated Sensing and Communication (ISAC)
  • Reconfigurable Intelligent Surfaces (RIS)
  • Cell-Free Massive MIMO
  • Distributed Optimization and Resource Allocation
  • Wireless AI and Learning-based Beamforming

We aim to bridge theory and implementation through analytical modeling, simulation frameworks, and experimental validation.


👥 Team Members:


Prof. Lee Swindlehurst
Principal Investigator
[Website][G-Scholar]

🧑‍🎓 PhD Students


Mehdi Zafari
PhD Student
[Website][G-Scholar]

Muhammad Bilal
PhD Student
[Website][G-Scholar]

Haoyu Wang
PhD Student
[Website][G-Scholar]

Chen Yang
PhD Student
[Website]

🧑‍🔬 Postdoctoral Researchers


Rang Liu
Postdoc
[Website][G-Scholar]

✈️ Visiting Researchers


Mengyuan Ma
Visitor
[Website][G-Scholar]

🎓 Alumni and Former Members


Featured Repositories

MILP + GNN-based association optimization for distributed cell-free ISAC (Python/PyTorch).

stars released lang license

Highlights
  • MILP supervision → GNN policy for real-time association.
  • Interference-aware, scalable to large CF-ISAC networks.

👥 Main: Mehdi Zafari

Multi-domain optimization integrating EM shaping, baseband processing, and network cooperation.

stars released lang license

Highlights
  • Co-design across EM, baseband, and network layers.
  • ISAC-centric performance objectives.

👥 Main: Rang Liu

Enhanced-PPO SecureCoder for robust RIS-aided secure wireless links.

stars released lang license

Highlights
  • Proximal policy optimization tailored for secure coding.
  • RIS adversarial/robustness experiments.

👥 Main: Haoyu Wang

Decentralized simulation framework for joint beamforming and power allocation in ISAC systems.

stars released lang license

Highlights
  • Cell-free architecture; ADMM-based SplitOpt/JointOpt.
  • End-to-end Python framework for comm+sense tradeoffs.

👥 Main: Mehdi Zafari

A two-stage learning framework for wildfire forecasting under partial observability.

stars released lang license

Highlights
  • Stage 1: Recover a plausible clean historical fire sequence from corrupted observations
  • Stage 2: Predict future wildfire spread from the reconstructed sequence

👥 Main: Mehdi Zafari, Chen Yang

Simulation code accompanying the Proceedings of the IEEE tutorial on clutter-aware ISAC.

stars released lang license

Highlights
  • A unified wideband MIMO-OFDM signal model that captures both cold clutter (environmental backscatter of the probing waveform) and hot clutter (external interference reflections) across the space, time, and frequency domains.
  • R. Liu, P. Li, M. Li, and A. L. Swindlehurst, "Clutter-aware integrated sensing and communication: Models, methods, and future directions," Proc. IEEE, to appear, 2026.

👥 Main: Rang Liu


Contact


© 2026 LS Wireless Lab • University of California, Irvine

Pinned Loading

  1. CORDIS CORDIS Public

    CORDIS: A scalable framework for coordinated resource allocation in distributed cell-free ISAC systems, with reproducible simulations and supporting materials.

    Python 2 1

  2. ASSENT-CellFree-ISAC ASSENT-CellFree-ISAC Public

    Official repository for ASSENT: Learning-Based Association Optimization for Distributed Cell-Free ISAC — MILP formulation, GNN framework, and dataset.

    Python 9 1

  3. Multi-Domain-Optimization-for-ISAC Multi-Domain-Optimization-for-ISAC Public

    MATLAB implementation of multi-domain optimization framework for ISAC.

    MATLAB 8 2

  4. SecureCoder-NR-RIS SecureCoder-NR-RIS Public

    This repository contains the implementation of SecureCoder based on the enhanced Proximal Policy Optimization (PPO) algorithm.

    Python 3 1

  5. Robust-Wildfire-Forecasting Robust-Wildfire-Forecasting Public

    This repository contains the code for a two-stage learning framework for wildfire forecasting under partial observability.

    Python 2

  6. Clutter-Aware-ISAC-Tutorial Clutter-Aware-ISAC-Tutorial Public

    Simulation code accompanying the Proceedings of the IEEE tutorial on clutter-aware ISAC.

    MATLAB 6

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