Xiaoran Fan (СȻ)

WINLAB

Department of Electrical and Computer Engineering

Rutgers University

671 Route 1 South

North Brunswick, N.J. 08902-3390

 

Email: ox5bc AT winlab DOT rutgers DOT edu

 

Google Scholar

ResearchGate

Please email me if you need my CV

 

Welcome to my old school early 90s style website! I am a Ph.D Candidate in Department of Electrical and Computer Engineering under professor Yanyong Zhang and professor Wade Trappe, Rutgers University. I also work closely with Dr. Rich Howard and Dr. Dipankar Raychaudhuri . I am a research assistant in Wireless Information Network Lab (WINLAB), where I am currently working on diistributed beamforming, secret communication and wireless power transferring. My research interests are digital signal processing (DSP), mathematical modeling and all kinds of wireless system desig.

 

PROJECTS

Secret-Focus: Ensuring confidentiality of communication is fundamental to securing the operation of a wireless system, where eavesdropping is easily facilitated by the broadcast nature of the wireless medium. By applying distributed phase alignment among distributed transmitters, we show that a new approach for assuring physical layer secrecy, without requiring any knowledge about the eavesdropper or injecting any additional cover noise, is possible if the transmitters frequently perturb their phases around the proper alignment phase while transmitting messages. This approach is readily applied to amplitude-based modulation schemes, such as PAM or QAM. We present our secrecy mechanisms, prove several important secrecy properties, and develop a practical secret communication system design. We further implement and deploy a prototype that consists of 16 distributed transmitters using USRP N210s in a 20×20×3 m³ area. By sending communication bits in real world, we measure that the eavesdroppers failed to decode the communication bits cross multiple locations while the intended receiver has an estimated bit error ratio less than 3×10^- 6. INFOCOM 2018 paper, Slides, Demo
 
Energy-Ball: This work presents a new power transfer approach by aligning the phases of a collection of radio frequency (RF) chargers at the target receiver device. Our approach can ship energy over tens of meters, to mobile targets, and even to targets blocked by obstacles. More importantly, our approach is much safer than traditional beamforming based WPT systems by largely avoiding overheating other areas. Such a technology can enable a large array of Internet of Things applications and render them much more robust and long-running. Thanks to its safety feature, our approach can be scaled up to ship higher level of energy over longer distances. In this work, we design, prototype, and evaluate the proposed energy transfer approach, referred to as energy-ball. We implement an energy-ball testbed that consists of 17 N210 and 4 B210 USRP nodes, yielding a safe charging space of 20×20×3 m³. We conduct carefully designed experiments on the testbed. We demo that energy can charge low-power IoT sensor nodes anywhere within the charging space and make them continuously sense and report data once 10 seconds, without missing a single sensing event or dropping a single packet. Results also show that, even when we move the sensor by only a short distance, the sensor does not gather enough energy to work properly, hence suggesting our energy delivery is indeed precise and safe. Finally, we show that enegy-ball can also power sensors that are blocked by obstacles and sensors that are moving. UbiComp/IMWUT 2018 paper, Slides
 
Auto++: In this work, we propose a system that detects approaching cars for smartphone users. In addition to detecting the presence of a vehicle, it can also estimate the vehicles driving direction, as well as count the number of cars around the user. We achieve these goals by processing the acoustic signal captured by microphones embedded in the users mobile phone. The largest challenge we faced involved addressing the fact that vehicular noise is predominantly due to tire-road friction, and therefore lacked strong (frequency) formant or temporal structure. Additionally, outdoor environments have complex acoustic noise characteristics, which are made worse when the signal is captured by non-professional grade microphones embedded in smartphones. We address these challenges by monitoring a new feature: maximal frequency component that crosses a threshold. We extract this feature with a blurred edge detector. Through detailed experiments, we found our system to be robust across different vehicles and environmental conditions, and thereby support unsupervised car detection and counting. UbiComp/IMWUT 2017 Paper, Slides

 

PUBLICATIONS

Poster Abstract: Enabling Concurrent IoT Transmissions in Distributed C-RAN
Xiaoran Fan, Zhenzhou Qi, Zhenhua Jia and Yanyong Zhang.
ACM SenSys 2018 - The 16th ACM Conference on Embedded Networked Sensor Systems.
 
Energy-Ball: Wireless Power Transfer for Batteryless Internet of Things through Distributed Beamforming
Xiaoran Fan, Han Ding, Sugang Li, Michael Sanzari, Yanyong Zhang, Wade Trappe, Zhu Han and Richard Howard.
ACM UbiComp/IMWUT 2018 - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
(In submission acceptance rate: 21%)
 
Poster: A Practical Secret Communication System by Perturbing Focused Phases Among Distributed Transmitters
Xiaoran Fan, Zhijie Zhang, Wade Trappe, Yanyong Zhang, Richard Howard and Zhu Han.
IEEE INFOCOM 2018 - The 37th Annual IEEE International Conference on Computer Communications.
 
Demo: A Practical Secret Communication System by Perturbing Focused Phases Among Distributed Transmitters
Xiaoran Fan, Zhijie Zhang, Wade Trappe, Yanyong Zhang, Richard Howard and Zhu Han.
IEEE INFOCOM 2018 - The 37th Annual IEEE International Conference on Computer Communications.
 
Secret-Focus: A Practical Physical Layer Secret Communication System by Perturbing Focused Phases in Distributed Beamforming
Xiaoran Fan, Zhijie Zhang, Wade Trappe, Yanyong Zhang, Richard Howard and Zhu Han.
IEEE INFOCOM 2018 - The 37th Annual IEEE International Conference on Computer Communications.
(Acceptance rate: 19%)
Best-in-session Presentation Award
 
Auto++: Detecting Cars Using Embedded Microphones in Real-Time
Sugang Li, Xiaoran Fan, Yanyong Zhang, Wade Trappe, Janne Lindqvist and Richard Howard.
ACM UbiComp/IMWUT 2017 - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
(Acceptance rate: 23%)
 
Poster: Bo-ear: unsupervised car sound sensing and tracking using microphones on smartphones
Sugang Li, Xiaoran Fan, Yanyong Zhang, Wade Trappe, Janne Lindqvist and Richard Howard.
S3@MobiCom 2016: S3 Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop.
 
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TEACHING

ECE 233 - Digital Logic Design Lab TA - Fall 2016
ECE 233 - Digital Logic Design Recitation TA - Fall 2017
Recipient of the TA of the Year Award - Electrical and Computer Engineering, Rutgers University, 2018
I enjoy teaching young students, you can find feedbacks for my teaching from my students here.

Paper Reviewer

IEEE Transactions on Mobile Computing (TMC)
IEEE Journal on Selected Areas in Communications (JSAC)
IEEE Transactions on Networking (ToN)
IEEE/ACM Conference on Connected Health:Applications, Systems and Engineering Technologies (CHASE)
ACM International Conference on Systems for Built Environments (BuildSys)
IEEE 5G World Forum (WF-5G)
IEEE International Conference on Sensing, Communication and Networking (SECON)
ACM/IEEE International Conference on Information Processing in Sensor Networks (ACM/IEEE IPSN)
ACM Conference on Embedded Network Sensor Systems (SenSys)
International Conference on Embedded Wireless Systems and Networks (EWSN)
IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI)
IEEE Signal Processing Magazine

Others

I have a particular interest in classical music. Besides my abundant vinyl and CD collections, I attend lots of live classical music concerts at NJSO and NYPhil. It is the reason interests me in signal processing since years back.

News!

Oct 2018

I presented our work on Energy-ball at UbiComp 2018, Singapore. Hope see you guys next year Ubicomp 2019 at London!

Sep 2018

I have been selected to receive the UbiComp/ISWC 2018 travel grant. I am also going to join the student volunteer team to help run UbiComp/ISWC 2018.

Aug 2018

Our early work on supporting cuncurrent IoT transmissions using distributed CRAN is accepted by ACM SenSys (2018) demo and poster session.

Jul 2018

I received ECE Research Excellence Award from Rutgers University.

Jun 2018

I received TA/GA research professional development fund from Rutgers University

May 2018

I presented our work on Secret-Focus at INFOCOM 2018, Honolulu, Hawaii and received the Best-in-session Presentation Award!

Apr 2018

I passed Ph.D. Qualifying Exam. Now I am a post-qualify Ph.D. candidate.

Apr 2018

Our paper "Energy-Ball: Wireless Power Transfer for Batteryless Internet of Things through Distributed Beamforming" has been accepted by ACM Ubicomp/IMWUT 2018! See you guys in Singapore.

Feb 2018

I am arwarded as the TA of the Year Award for Fall 2017 Cycle!

Feb 2018

Our poster for Secret-Focus has been accepted by INFOCOM2018.

Feb 2018

Our video demo for Secret-Focus has been accepted by INFOCOM2018.

Jan 2018

I received my students' feedback for my teaching in last semester (DLD, fall 2017).

Dec 2017

I am recruiting motivated students (Master or Undergraduate). Feel free to send me your resume.

Nov 2017

Our paper "Secret-Focus: A Practical Physical Layer Secret Communication System by Perturbing Focused Phases in Distributed Beamforming" has been accepted by IEEE INFOCOM 2018! I will present our Secret-Focus work at IEEE INFOCOM 2018, see you guys in Hawaii!

March 2017

Our paper "Auto++:Detecting Cars Using Embedded Microphones in Real-Time" has been accepted by ACM Ubicomp/IMWUT 2017! Paper Slides.