Research Scientist
About Me
Dr. Hao Yin is a Research Scientist in Wireless Communication. He received his Ph.D. degree from the University of Washington, under the supervision of Prof. Sumit Roy in 2023. Before this, He received his Bachelor's degree (2015-2019) from Huazhong University of Science and Technology.
His research focuses on the scheduling and resource allocation algorithms in wireless communication, especially for the next generation 5G and Wi-Fi systems. He also works on applying machine learning algorithms to complex wireless systems to build more intellegent wireless system in the future.
News
- [Dec 2023] Our paper "ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices" accepted to NSDI 2024.
- [Jul 2023] Updated the latest status of multi-bss Wi-Fi simulations at Wireless Next Generation (WNG) Standing Committee Meeting
- [Jun 2023] Updated the latest status of multi-bss Wi-Fi simulations at WNS3 2023
- [Oct 2022] We offered the tutorial for the ns-3 Wi-Fi simulation at LANC 2022
- [Jun 2022] Present our work on 6 GHz Wi-Fi in WNS3 2022
- [Apr 2022] We offered the tutorial for the ns-3 Wi-Fi simulation at ACMSE 2022
Education
- University of Washington, Seattle, USA
PhD, ECE, Sept 2019 - Aug 2023 - University of Washington, Seattle, USA
MS, AMATH, March 2021 - Dec 2022 - Huazhong University of Science and Technology, Wuhan, China
BS, Sept 2015 - Jun 2019
Working Experience
Meta, TED wireless Team, Jun 2022 - Sept, 2022, Sunnyvale, CA
- HW Product Engineer Intern
- Working on the optimization of Wi-Fi network for XR scenarios.
Microsoft Research, Apr 2021 - Jun, 2022, Oct 2022 - Mar 2023, Redmond, WA
- Research Intern
- Working on the optimization of Wi-Fi network for gaming scenarios.
Intel, Apr 2018 - Jun, 2019, Beijing, China
- Research Intern
- Implemented 5G NR and LTE layer 2 (mainly MAC, RLC, PDCP layer) stacks on Intel Architecture with Linux and C/C++ for the benchmarking of LTE/NR prototypes.
Projects
Next-Generation Wi-Fi Networks With the imminent IEEE 802.11be (Wi-Fi 7) amendment, future Wi-Fi 7 aims to offer low latency and ultra-reliability in license-exempt spectrum bands. The new physical (PHY) and medium access control (MAC) layer enhancements, such as multi-link operation (MLO) and multi-AP cooperation, provide more opportunities for Wi-Fi networks to meet often conflicting QoE metrics. Our projects focus on smart scheduling and optimization for the next-generation Wi-Fi networks.
Papers: 6 GHz, Channel Access, Wi-Fi 7 Scheduling
Resource Allocation and Scheduling for 5G Networks Diverse mission-critical applications require Ultra-Reliable and Low-Latency Communications (URLLC) services, such as industrial automation, intelligent transportation, gaming, and Virtual/Augmented Reality (VR/AR). Different types of wireless technology have coexisted and provided URLLC services under various scenarios. Our projects study the requirements of the URLLC traffic in 5G networks and propose the optimization algorithms for the scheduling and resource allocation problem.
Papers: Joint Scheduling, Multi-hop, Channel Prediction
Vehicle to Everything (V2X) Communication Vehicle-to-everything, or V2X, is an all-encompassing term for a vehicle’s connected communications. The overall idea is that a vehicle is able, or will be able to, use its on-board communication tools to deliver real-time traffic information, preemptively react to changing road conditions, recognize road signs and warnings, and more. In these projects, we mainly focus on the scheduling and resource allocation in V2X communication based on the latest standards.
Awards & Honors
- Qualcomm Innovation Fellowship Finnalist, 2022
- Huazhong University of Science and Technology Outstanding undergraduate graduation thesis, 2019
- National Scholarship in China, 2018
- Merit Student of Huazhong University of Science and Technology, 2017 & 2018
- Huazhong University of Science and Technology undergraduate excellent student, 2017
- Team Winner, College Students' Innovation and Entrepreneurship Campus, 2017