Wireless for the Internet-of-Things


Meng Jin,Tsinghua University


2020-07-02 14:00:00 ~ 2020-07-02 15:30:00




Haiming Jin


Today, we have seen a huge number of IoT devices deployed in various scenarios, such as warehouse, smart retail, etc. The vision is that we are going to embrace a world where IoT devices are ubiquitously deployed. This brings us with both opportunities and challenges. On one side, the ubiquitously deployed IoT devices and the pervasive wireless signal provide us with a vehicle to sense and perceive the world. On another hand, however, this vision of IoT is still limited by the disconnection between the increased number of IoT devices and the limited channel resource. Frequent collision and interference among the signal of the IoT devices lead to poor communication reliability and throughput of IoT.

In this talk, I will first discuss how we build high-throughput connectivity for IoT devices. Specifically, I will describe how we can support parallel transmission from multiple IoT devices, which increases the throughput by over 10x. I will also describe how we build new signal models and design new signal processing technologies to recover both the bit sequence and channel parameters of individual devices from the collided signal. In the second part of this talk, I will describe how we designed novel inference algorithms that build on these techniques to deliver a variety of sensing tasks in industrial scenarios, including eccentricity detection for rotation machinery, and liquid leakage detection for pipelines. I believe that our research works can support the IoT devices to better interact with the physical world.

Meng Jin is currently a post-doctoral researcher at School of SoftwareTsinghua University. She received the B.S., M.S. and Ph.d. degrees in Computer Science from Northwest University, in 2012, 2015, and 2018, respectively, under the supervision of Prof. Dingyi Fang. Meng’s main research interests include backscatter communication, wireless sensing, wireless network co-existence at 2.4GHz and Clock Synchronization. She has received best doctoral dissertation award from CCF and ACM china in 2019.

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