Rising Stars 2020:

Wanchun Liu

Postdoctoral Researcher

University of Sydney, Australia

PhD '17 Australian National University

Areas of Interest

  • Control, Intelligent Systems, and Robotics
  • Cyber-Physical Systems and Design Automation
  • Information, Data, Network, and Communication Sciences
  • Signal Processing


Novel Splitting Receiver Design and Remote State Estimation over Markov Fading Channels


The poster contains two independent works about (1) receiver design and (2) remote estimation.

(1) A novel splitting receiver is proposed, which involves joint processing of coherently and non-coherently received signals. Using a passive RF power splitter, the received signal at each receiver antenna is split into two streams which are then processed by a conventional coherent detection (CD) circuit and a power-detection (PD) circuit, respectively. The streams of the signals from all the receiver antennas are then jointly used for information detection. The splitting receiver creates a three-dimensional received signal space, due to the joint coherent and non-coherent processing. By analyzing the achievable rate of a splitting receiver, it shows that the splitting receiver provides a rate gain of 3/2 compared to either the conventional (CD-based) coherent receiver or the PD-based non-coherent receiver in the high signal-to-noise ratio (SNR) regime.

(2) We consider a fundamental remote state estimation problem of discrete-time linear time-invariant (LTI) systems. A smart sensor forwards its local state estimate to a remote estimator over a time-correlated M-state Markov fading channel, where the packet drop probability is time-varying and depends on the current fading channel state. We establish a necessary and sufficient condition for mean-square stability of the remote estimation error covariance as ρ^2(A) ρ(DM) < 1, where ρ(·) denotes the spectral radius, A is the state transition matrix of the LTI system, D is a diagonal matrix containing the packet drop probabilities in different channel states, and M is the transition probability matrix of the Markov channel states.


Wanchun Liu is a Research Fellow of the School of Electrical and Information Engineering at The University of Sydney (USyd). She holds a Ph.D. degree in wireless communications from The Australian National University (ANU) in 2017. As a focused researcher on wireless networked control, Wanchun aims at developing systematic theory and methodology of communications-control-computing codesign for future Industrial Internet of Things. To contribute to academic communities, she works as a Co-Chair of the Australian Communication Theory Webinar 2020, the chair of Technical Program Committee in the IEEE Global Communications Conference (GLOBECOM) 2020 Workshop of “Information Freshness, Communications, Control and Computing for the Industrial IoT”, and other roles in IEEE and Australia. She won the Top-Up Scholarship for Research Excellence from ANU due to her research on the next-generation receiver design and was awarded a grant from the Early Career Researcher Development Scheme in USyd for her outstanding research on wireless networked control.

Personal home page