Haijian Sun

Openings:

My lab has several fully funded PhD positions. If you are interested, please send your CV, test scores, transcript, sample publications (if any) to me. In the subject line, please use “Perspective PhD Application – Your Name”. Research areas include: mmWave communication, scalable IoT communication, wireless sensing and machine learning, etc.

Research Interests:

Wireless Communication for 5G and Beyond, ML for Precise Channel Modeling, Efficient Edge Computing, Wireless Security, Wireless for Distributed Learning, Cyber Physical Systems

2023

2023-12: Team SunLab won NSF AERPAW's “Find a Rover Challenge” in the second place (best result in 10-min) and thrid place (fast result in 3-min). NSF PAWR Announcement. Our approach is Gaussian Process and Bayesian estimation. Congrats to team members: Paul, Lihao, and Hanwen!

2023-12: Our paper: Precise Coil Alignment for Dynamic Wireless Charging of Electric Vehicles with RFID Sensing is submitted as an IEEE magazine paper. This paper summarized our work on RFID-based EV wireless charging coil alignment for sub-10 cm localization accuracy.

2023-12: Our paper: WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing is accepted by ICNC 2024. This paper presented a dataset for precise and generalizable indoor wireless channel modeling.

2023-12: Dr. Sun will serve as the Editor for IEEE Network Magazine, a highly impact journal in the broad areas of Networks.

2023-10: Hanwen's first paper “Energy Efficient Robust Beamforming for Vehicular ISAC with Imperfect Channel Estimation” has been submitted. This paper investigated the integrated communication and sensing under realistic channel conditions. Accepted by IEEE ICC 2024

2023-10: Lihao's first paper “Map2Schedule: An End-to-End Link Scheduling Method for Urban V2V Communications” has been submitted. This paper gave a new pipeline for vehicle link scheduling via city map and locations. Accepted by IEEE ICC 2024

2023-09: Dr. Sun was invited to give a talk “Driving the Future: Wireless Communication Solutions for Electrified Transportation” at 2023 Asian American Engineer of the Year award event. Press Link

2023-09: Our paper: “Authentication and PHY-Security Schemes for Electric Vehicle Dynamic Wireless Charging” has been accepted by IEEE Transactions on Vehicular Technology. This paper proposed a lightweight authentication scheme for EV wireless charging in motion.

2024-08: Hanwen Zhang joined the lab as a graduate research assistant (PhD track). Hanwen obtained his B.S. from Beijing Jiaotong University and Lancaster University in June 2023.

2023-08: Our paper: “Resource Allocation for Mutualistic Symbiotic Radio with Hybrid Active-Passive Communications” has been accepted by IEEE Globecom 2023.

2023-06: Lihao Zhang joined the lab as a graduate research assistant (PhD track). Lihao obtained his M.S. from Northwestern University (Chicago) in 2022 and B.S. from Beijing Jiaotong University.

2023-04: Our paper “Approximate Wireless Communication for Federated Learning” has been accepted by the 2023 ACM Workshop on Wireless Security and Machine Learning (WiseML ’23), June 1, 2023, Guildford, United Kingdom. This paper presented an approximate (do not need to be accurate) wireless system to facilitate distributed learning. Trade accuracy for low overhead, low latency, and low computation.

2023-02: Our paper “Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation” has been submitted to IEEE Transactions on Vehicular Technology. (Update: Accepted).

2023-01: Our paper “Wireless Powered OFDMA-MEC Networks with Hybrid Active-Passive Communications” has been accepted by IEEE Internet of Things Journal.

2022

2022-12: We received a gift donation from Tmytek Inc. The device Tmytek supplied can accelerate our research on mmWave communication for 5G and beyond systems. We also look forward to collaborate with Tmytek on other wireless high frequency signal applications.

2022-11: We have received two grants from UGA's IIPA. One is “A Precision Tracking and Tracing System in Food Supply Chain Through Ubiquitous Wireless Connectivity” (PI, $37,500). The other is “Enabling Smart Farming Through Interconnectivity Infrastructure Systems” (PI, $245,000). We aim to utilize advanced wireless technology for various precision agriculture applications.

2022-08: Our paper: “Secrecy Performance of Backscatter Communications with Multiple Self-Powered Tags” has been accepted by IEEE Wireless Communication Letters.

2022-08: Our paper: “A New Implementation of Federated Learning for Privacy and Security Enhancement” has been accepted by IEEE Globecom 2022.

2022-06: Our paper: “Throughput Fairness-Aware Optimization of Cognitive Backscatter Networks with Finite Alphabet Inputs” has been accepted by IEEE ICCC 2022.

2022-05: Our paper: “Wireless Powered Opportunistic Cooperative Backscatter Communications: To Relay or Not?” has been accepted by IEEE VTC 2022-Spring.

2022-05: I will be joining School of Electrical and Computer Engineering at the University of Georgia ECE@UGA this fall. My lab has several fully funded PhD positions. If you are interested, please send your CV, test scores, transcript, sample publications (if any) to me. In the subject line, please use “Perspective PhD Application – Your Name”. Please check this link if you want to know more about UGA About UGA

2022-02: I received “Chancellor's Innovation Award for Computer Science”, the ceremony will be presented in 2022 State of the University Address (Feb. 22).

2022-02: My reserach features on UW-Whitewater's front page story. Hands-on Research with an Impact, Making Self-driving Cars Smarter

2022-02: I received another National Science Foundation (NSF) CRII project on efficient large-scale CPS connectivity. This is a single-PI, 2-year grant with $175,000 budget. Details in this Link

2021

2021-12: I received a National Science Foundation (NSF) ERI project on high frequency vehicular communication with deep learning. This is a single-PI, 2-year grant with $200,000 budget. Details in this Link

2021-12: Both My teaching and research activities are featured in “UW-Whitewater’s 2021 achievements and milestones”. My lecturing and contribution to cyber security program appear in 2:12, my undergraduate research achievement appears in 3:23. Video link: https://www.facebook.com/watch/?v=6988564924494697

2021-11: My graduate student, Tilak Basnet, has been awarded with UWW Graduate Research Award! His research topic is medical IoT security and privacy.

2021-11: Our work: “When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges” has been submitted to IEEE Access. It discussed the challenges and some solutions for secure spectrum sharing, particularly with machine learning approach.

2021-10: My student Shane and Jack, presented our multimodal data-driven mmWave vehicle communication prototype in UWW Undergraduate Research Day.

2021-10: Our interdisplinary work with Department of Physics (Ozgur) and Department of Geology (Juk) on multimodal landslide monitoring has been presented in the Geological Society of America (GSA) Connect Conference, in Portland OR.

2021-08: Our paper: “User Scheduling for Federated Learning ThroughOver-the-Air Computation” has been accepted by IEEE VTC fall, the flagship conference of IEEE Vehicular Communication Society.

2021-07: Our project: “Privacy Protection among Community-Dwelling Older Wisconsinites in the Age of Internet of Things” is funded by Thompson Center, University of Wisconsin System. We will study the impacts of medical devices for old adults in Wisconsin.

2021-06: Dr. Sun gave a talk at IEEE Future Networks on Machine learning techiniques for massive MIMO.

2021-04: We might have a good idea on how future wireless netowrks can become, join us at IEEE Future Networks, where I am the chair in Massive MIMO group. Whitepapers with industry partners will be realased soon. FutureNetworks IEEE Link

2021-04: University of Wisconsin system recognizes my work on Next-Gen reliable mmWave communication on smart vehicles as a distinctive research work.

A brief video (non-technical intro): Video Link

2021-03: One of the papers that I co-authored in 2018 has been recognized as top-10 cited publications in IEEE Journal on Selected Areas in Communications ( publication #8, 177 citations in total, 53 citations towards JIF factor). Data available via Web of Science, InCites Journal Citation Reports.

2021-03: Our paper: “Distributed Resource Allocation for SWIPT-based Cognitive Ad-Hoc Networks” is accepted by IEEE Transactions on Cognitive Communications and Networking.

2021-01: We are starting a new reserach project recently, funded by the University of Wisconsin system. This project tackles the challenge in mmWave communication, where beamforming is applied. Unlike conventional approaches that require pilot signals to sense the channel then steer beams, we want to see how spatial info such as image, LiDAR point cloud can help with faster mmWave communications. Stay tuned.

2020

2020-12: I am the receipient of 2021 University of Wisconsin Regent Scholar Award.
“The Regent Scholar Grant program provides prestigious awards to individual faculty or to institutional programs that undertake undergraduate research projects having potential to foster innovation, entrepreneurship, and talent development. Programs may have an emphasis on science, technology, engineering, and mathematics (STEM), as well as pursuits in academic disciplines, including arts, humanities, or professional studies.”

2020-08: Our paper: “Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network” has submitted to EdgeCom 2020. Update: accepted.

2020-07: Our paper: “Energy-efficient Resource Allocation for Secure IRS Networks with Active Eavesdropper” has been accepted by IEEE ICCC 2020.

2020-07: Our paper: “Human Pose and Seat Occupancy Classication with Commercial mmWave WiFi” has submitted to IEEE Globecom Workshop. Thanks for the good work from Jet Yu in Virginia Tech and MERL. Update: accepted by IEEE Globecom 2020.

2020-06: We have submitted another paper in Federated Learning area, titled as “Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC”, Link here:. This paper tackles a difficult problem in scheduling scheme for FL. UPDATE: accepted by IEEE Globecom 2020.

2020-06: Our paper “System-Centric Computation Energy Efficiency for Distributed NOMA-Based MEC Networks” has been accepted by IEEE Transactions on Vehicular Technology.

2020-04: Our paper “Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: A Deep Learning Approach” has been accepted by IEEE Access. This paper is a more comprehensive study that beyonds two Globecomm papers. With machine learning, we show that even with coarse commercial devices, 60GHz can achieve RMS error that below 10 cm.

2020-04: Our paper “Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study” has been accepted by IEEE International workshop on signal processing advances in wireless communications (SPAWC). In this work, we showed a preliminary work on 28GHz localization with fingerprinting.

2020-03: Our paper “Robust Secure Wireless Powered MISO Cognitive Mobile Edge Computing” is accpetd by IEEE Access.

2020-03: Machine learning is a hot topic for years. Recently there have been many works on AI on edge devices. My first paper on this topic is: “Adaptive Federated Learning With Gradient Compression in Uplink NOMA”. We have shown that, by properly adjusting transmission policy, training time, due to wireless connections, can be significantly reduced. UPDATE: This paper has been accepted by IEEE Transactions on Vehicular Technology.

2020-03: Our paper “Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement” has been accepted by IEEE i-ETC 2020. In this paper, we studied the energy efficiency and physical layer security for mobile edge systems.

2019

2019-08: I will be joining the University of Wisconsin, Whitewater as a tenure-track assistant professor.

2019-05: I have successfully defeneded my Ph.D. dissertation.

2019-05: Based on my work last summer in Mitsubishi, we have two more papers submitted.

• 1) Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi – Part I: RSS and Beam Indices With limited and inaccurate information from a commercial router, this paper demonstrates the indoor localization accuracy within 30cm.

• 2) Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi – Part II: Spatial Beam SNRs With more refined data, this paper shows the RMS error of 17.52 cm.

2019-04: I am lucky to be a recepient of “Outstanding PhD Scholar” in the College of Engineering. I thank for everyone's support along the way. PhD is challenging but also rewrading.

2019-03: Starting from last year, I have actively involved with “IEEE beyond 5G Roadmap” standardlization body, my area of focus is massive MIMO. We welcome the input from both academic and industry. Please join our discussion team if you want to contribute (send me an email). This year, we expect to publish a whitepaper for the development of massive MIMO in the next decade.

2019-02: I was appointed as the TPC member for Advanced Mobile Edge Fog Computing for 5G Mobile Networks and Beyond (AMEFC5G), IEEE ICC 2019. ICC is one of the flagship conferences in communications. The 2019 ICC will be held in Shanghai, China.

2019-01: Our paper “Joint Offloading and Computation Energy Efficiency Maximization in a Mobile Edge Computing System” is officially accepted in IEEE Transactions on Vehicular Technology.

2018

2018-12: I passed the Ph.D. thesis proposal defense, and target on graduation next year. One more step!

2018-11: Part of my work at MERL has been summarized as “mmWave Localization with 28-GHz Channel Measurement: A Preliminary Field Study” and submitted to IEEE ICC 2019.

2018-11: Our paper “Joint Offloading and Computation Energy Efficiency Maximization in a Mobile Edge Computing System”, which was submitted to IEEE Transactions on Vehicular Technology (IEEE TVT, Impact Factor 4.4) this May, is accepted with minor revision. We introduced Computation Efficiency (CE), which essentially helps understand the tradeoff between computing and communication. Early access will be provided soon.

2018-09: Our paper “Computation Efficiency Maximization for Wireless-Powered Mobile Edge Computing” has been accepted in IEEE Globecomm 2019. The paper aims to find the optimal resource management in wireless mobile edge computing, from the energy efficiency perspective.

2018-09: Our paper “Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT” has been accepted by IEEE Journals on Selected Areas in Communications. Impact Factor: 7.2.

2018-05 to 2018-08: I had the summer internship in Mitsubishi Electric Research Laboratories (MERL). My research topic is mmWave signal processing, specifically in the application of indoor localization. I helped build the hardware platform for data collection, as well as designed algorithms for the processing. Please stay tuned for the forthcoming publications/patents.

2018-06: Our paper “Wearable Communications in 5G: Challenges and Enabling Technologies” is now published in IEEE Vehicular Technology Magazine. Impact Factor: 6.03.

2018-05: Our paper “Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT” is accepted by IEEE International Conferences in Communications (ICC), kansas City, MO, USA. An extended version has been submitted to IEEE Journals on Selected Areas in Communications.
2018-05: Our paper “Joint Offloading and Computation Energy Efficiency Maximization in a Mobile Edge Computing System” submitted to IEEE Transactions on Vehicular Technology.

About Me

I received Ph.D. from the department of electrical and computer engineering, Utah State University. My supervisor is Prof. Rose Qingyang Hu.

I received master and bachelor degree from Xidian University, one of the prestigous universities in electrical engineering, in 2014 and 2011, respectively.

My general research and interests include 5G and beyond wireless, Internet of Things (IoT), machine learning at the edge, radio access, wearable communication, and prototype design.