Publications

IEEE Communications Society Publication Policy Statements (Link)

IEEE Templates (Link)

The current works of W. Liu are supported by the Australian Research Council’s Discovery Early Career Researcher Award (DECRA) Project DE230100016.

6-digit FoR codes: 400608 (wireless communications) 400705 (control engineering)  400607 (signal processing)

Best Reading List

• W. Liu, D. E. Quevedo, Y. Li, V. N. K. Lau, P. Park, L. Shi, and P. Popovski, "Communications in Wireless Networked Control", IEEE Communications Society's Best Readings, Apr. 2021 (Link)

Book Chapter

• W. Liu, S. Durrani, X. Zhou "Wireless Powered Sensor Networks" in Wireless Information and Power Transfer: A New Paradigm for Green Communications, Springer International Publishing AG, July 2017. (Link)

Journals/Magazine Articles

1. W. Liu, A. Leong, D. E. Quevedo"Thompson Sampling for Networked Control over Unknown Channels", in Automatica, 2024.

2. Y. Wang, W. Liu, X. Zhou, "Optimal Design for Multi-Antenna Splitting Receiver", in IEEE Transactions on Communications, 2023 (arXiv)

   • Brief story: we propose a multi-antenna splitting receiver, where the received signal at each antenna is split into an envelope detection (ED) branch and a coherent detection (CD) branch, and the processed signals from both branches of all antennas are then jointly utilized for recovering the transmitted information. We derive a closed-form approximation of the achievable mutual information (MI) and optimized the key receiver design parameters including the power splitting ratio at each antenna and the signal combining coefficients from all the ED and CD branches.

3. S Khan, J Guivant, Y Li, W Liu, X Li, "Hybrid Model Predictive Control for Unmanned Ground Vehicles", in IEEE Transactions on Intelligent Vehicles, 2023.

4.  J. Chen, W. Liu, D. E. Quevedo, Y. Li, B. Vucetic, "Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach", in IEEE Communications Letters, 2023 (arXiv)

   • Brief story: we develop monotonicity-driven DRL algorithms that can effectively solve a wide range of semantic-aware dynamic scheduling problems.

5.  J. Chen, W. Liu, D. E. Quevedo, S. R. Khosravirad, Y. Li, B. Vucetic, "Structure-Enhanced DRL for Optimal Transmission Scheduling", in IEEE Transactions on Wireless Communications, 2023 (arXiv)

   • Brief story: first, we derive structural properties of the optimal scheduling policy of a remote estimation system; then, building on the theoretical guidelines, we develop structure-enhanced deep reinforcement learning (DRL) algorithms, which solve the optimal scheduling problem much more effectively compared to benchmark DRL. Moreover, we show that the structural properties exist in a wide range of scheduling problems in wireless communications and networked systems, where the structure-enhance DRL algorithms can be applied to.

6. Z. Zhao, W. Liu, D. E. Quevedo, Y. Li, B. Vucetic, "Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach", in IEEE Internet of Things Journal, 2023 (arXiv)

   • Brief story: we develop a novel co-design framework for wireless networked control systems. A novel deep reinforcement learning (DRL)-based algorithm is proposed for controller and scheduler optimization utilizing both model-free and model-based data. An Age-of-Information (AoI)-based importance sampling algorithm that takes into account the data accuracy is proposed for enhancing learning efficiency.

7. K. Wang, W. Liu, T. Lim, "Deep Learning for Radio Resource Allocation under DoS Attack", submitted, 2022 (arXiv)

   • Brief story: we propose a novel resilient deep reinforcement learning-based algorithm for wireless resource allocation under DoS attack. In particular, the intelligent legitimate system detects the attack policy changes and optimizes the defending policy automatically in real-time.

8. A. S. Leong, D. E. Quevedo, W. Liu, "Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes", in IEEE Transactions on Automatic Control, 2023 (arXiv)

   • Brief story: the paper proposes a novel stability-enforced multi-armed bandit algorithm for channel selection with unknown channel statistics. Our analysis shows that the channel selection regrets of some bandit algorithms are logarithmic in terms of the sampling time, i.e., O(logT).

9. W. Liu, K. Huang, D. E. Quevedo, B. Vucetic and Y. Li, "Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control", revised, 2022 (arXiv)

   • Brief story: We investigate the stability condition of a fully distributed multi-plant wireless networked control system sharing limited wireless frequencies, To the best of our knowledge, this is the first stabilizability condition established for multi-plant-multi-frequency WNCS with uplink (sensor-controller) and downlink (controller-actuator) scheduling in the literature. Building on the stability condition established, we develop a deep reinforcement learning algorithm for optimal transmission scheduling that achieves the best overall control system performance.

10. G. Pang, W. Liu, Y. Li, B. Vucetic, "DRL-based Resource Allocation in Remote State Estimation", in IEEE Transactions on Wireless Communications, 2022 (arXiv)

    • Brief story: We propose novel DRL algorithms to solve dynamic resource allocation problems in remote state estimation with large state and action spaces.

11. W. Liu, D. E. Quevedo, K. H. Johansson, B. Vucetic and Y. Li, "Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels", accepted by IEEE Transactions on Automatic Control, 2022 (arXiv)

    • Brief story: I have solved an open problem: what is the fundamental requirement on the multi-sensor-multi-channel system to guarantee the existence of a sensor scheduling policy that can stabilize the remote estimation system? A very nice necessary and sufficient stability condition is derived in terms of the LTI system parameters and the channel statistics, which is more effective than existing sufficient conditions available in the literature!

12. W. Liu, D. E. Quevedo, B. Vucetic and Y. Li, "Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels", accepted by IEEE L-CSS, 2022 (arXiv)

    • Brief story: We propose a general wireless channel model, the semi-Markov model, to capture both fast and slow fading scenarios. We derive the necessary and sufficient stability condition of a multi-plant remote estimation system over semi-Markov channels. Our results show 1) how the delayed channel state information affects the system stability and 2) fast fading channels may be preferable to slow fading ones for stability!

13. Y. Wang, W. Liu, X. Zhou, "Splitting Receiver with Joint Envelope and Coherent Detection", accepted by IEEE Communications Letters, 2022 (arXiv)

    • Brief story: We proposed a novel splitting receiver a few years ago. The receiver splits the received RF signal into two streams, one for coherent detection (CD) and the other for power detection (PD). The separately processed signals are jointly used for recovering the original signal. It has been proved that such a PD-CD splitting receiver can achieve a 50% data rate gain compared with the traditional receivers. Now we investigate the envelope detection (ED)-CD splitting receiver and show that performance gain still exists though smaller than the PD-CD one.

    • There is a common misunderstanding of the PD-CD splitting receiver -- the performance gain comes from the PD (which has a higher SNR than CD). This is wrong because the performance gain is defined as the data rate improvement of the best of PD and CD.

    • It is very interesting to see that the ED-CD splitting receiver can still have a performance gain, noting that ED has a much smaller achievable data rate of CD. This result also implies that the magic of a splitting receiver indeed comes from the joint coherent and noncoherent processing.

14. W. Liu, D. E. Quevedo, Y. Li, and B. Vucetic "Anytime Control under Practical Communication Model", in IEEE Transactions on Automatic Control, 2021 (arXiv)

    • Brief story: In this work, we work on a fundamental control-communications-computation codesign problem. We consider a dual-channel wireless networked control system with a nonlinear plant, where both the communications resource and the controller's computation resource are limited and time-varying. A novel anytime control algorithm is proposed and a nice sufficient stability condition is obtained!

15. T. Qin, W. Liu, B. Vucetic, Y. Li  "Over-the-Air Computation via Broadcast Channels", in IEEE Wireless Communications Letters, 2021 (arXiv)

    • Brief story: Existing research on Over-the-Air Computation (AirComp) only considered allocating a single frequency channel for one AirComp task. However, for a sensor network with a massive number of nodes, a single frequency channel may not be sufficient to accommodate the large number of sensors, and the AirComp performance will be very limited. So it is highly desirable to have more frequency channels for large-scale AirComp systems to benefit from multi-channel diversity. In this work, we propose an M-frequency AirComp system, where each sensor optimally selects a subset of the M frequencies for signal aggregation and the fusion center optimally recovers the sum of the sensor signals based on the output of the M-frequency channel.

16. W. Liu, D. E. Quevedo, Y. Li, K. H. Johansson and B. Vucetic "Remote State Estimation with Smart Sensors over Markov Fading Channels", accepted by IEEE Transactions on Automatic Control, 2021 (arXiv)

    • Brief story: I have solved an open problem in the area of remote estimation of linear time-invariant (LTI) systems over fading channels. A very nice necessary and sufficient stability condition is obtained!

17. W. Liu, Xin Zang, B. Vucetic, Y. Li  "Over-the-Air Computation with Spatial-and-Temporal Correlated Signals", in IEEE Wireless Communications Letters, 2021 (arXiv)

    • Brief story: Over-the-air computation (AirComp) leveraging the superposition property of wireless multiple-access channel (MAC), is a promising technique for effective data collection and computation of large-scale wireless sensor measurements in Internet of Things applications. Most existing work on AirComp only considered computation of spatial-and-temporal independent sensor signals, though in practice different sensor measurement signals are usually correlated. Spatial-and-temporal sensor signals are commonly considered in the literature of remote state estimation, but have not been considered in AirComp systems to the best of our knowledge. In particular, the time correlation introduces a new challenge in AirComp system design: how to effectively utilize both the current and the sequence of previously received signals for optimal computation of current sensor signals? The optimal AirComp policy has been derived in the paper.

18. J. Zhu, W. Liu, Y. Li et al. "Exploring robustness management for dynamic technology fusion", in Nonlinear Dynamics (2020). https://doi.org/10.1007/s11071-020-05978-9

19. Kang Huang, W. Liu, Y. Li, A. Savkin and B. Vucetic. "Wireless Feedback Control with Variable Packet Length for Industrial IoT", in IEEE Wireless Communications Letters, 2020 (arXiv)

    • This work investigates the fundamental tradeoff between transmission latency and reliability on the performance of wireless networked control systems (WNCS).

    • We propose a novel WNCS, where the controller can adaptively change the packet length for control based on the current status of the physical process under control. 

    • We find the optimal variable-length packet-transmission policy for minimizing the long-term average cost of the WNCSs by using the semi-Markov decision process (semi-MDP) tools.

    • For both fixed-length and variable-length policies, we derive a necessary and sufficient condition on the existence of the optimal policy in terms of the transmission reliabilities with different packet lengths and the control system parameter.

20. W. Liu, G. Nair, Y. Li, D. Nesic, B. Vucetic and H.V. Poor "On the Latency, data rate, and Reliability Tradeoff in Wireless Networked Control Systems", in IEEE Internet of Things Journal, 2020 (arXiv)

    • Brief story: It is well-known that ultra-reliable low-latency communications come from the requirement of industrial control, which is an important application scenario of Industrial IoT. Most of the existing research in this area only focuses on communication system design to achieve certain communication performance requirements. However, due to the intrinsic property in communication system design that the tradeoff between latency, data rate, and reliability always exists, it is difficult to tell whether a design is good or not without mentioning the specific application scenario. In this work, we consider a wireless networked control system consisting of a dynamic (unstable) plant, sensor nodes, actuators and a remote controller, in which the communication systems for sensing measurements and control commands transmission are treated as subsystems. We focus on the design of the communication systems in terms of the latency, data rate, and reliability such that the performance of the closed-loop networked control system is optimized. The results obtained from this work show a counterintuitive finding that the plant can be stabilized with an arbitrarily large channel-coding blocklength (i.e., a large delay) if the signal-to-noise ratios (SNR) of the wireless channels are greater than a certain value which is only determined by the system parameters of the unstable plant.

21. Xin Zang, W. Liu, Y. Li, B. Vucetic "Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint", in IEEE Wireless Communications Letters, 2020 (arXiv)

    • Two problems of over-the-air computation (AirComp) were investigated: the optimal computation-MSE problem under the sum-power constraint and the optimal sum-power problem under the computation-MSE constraint.

    • Closed-form solutions of the non-convex problems have been obtained.

22. W. Liu, X. Zang, Y. Li, B. Vucetic "Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws", in IEEE Transactions on Wireless Communications, 2020 (arXiv)

    • Brief story:   For future IoT-based Big Data applications (e.g., smart cities/transportation), wireless data collection from ubiquitous massive smart sensors with limited spectrum bandwidth is very challenging. On the other hand, to interpret the meaning behind the collected data, it is also challenging for edge fusion centers running computing tasks over large data sets with limited computation capacity. To tackle these challenges, by exploiting the superposition property of a multiple-access channel and the functional decomposition properties, the recently proposed technique, over-the-air computation (AirComp), enables an effective joint data collection and computation from concurrent sensor transmissions. 

      • We focus on a single-antenna AirComp system consisting of K sensors and one receiver (i.e., the fusion center). We formulate and solve an optimization problem to minimize the computation mean-squared error (MSE) of the K sensors' signals at the receiver by optimizing the transmitting-receiving (Tx-Rx) policy, under the peak power constraint of each sensor.

      • We compare the AirComp problem with a traditional MAC-based remote estimation problem. The former is an MSE-of-sum problem while the latter is a sum-of-MSE problem. We prove the condition under which the optimal policies of the two problems are identical.

      • Also, we comprehensively investigate the ergodic performance and scaling laws of AirComp systems in terms of the average computation MSE and the average power consumption under Rayleigh fading channels with different Tx-Rx policies. It is interesting to see that the computation-optimal policy has a vanishing average computation MSE and a vanishing average power consumption with the increasing number of sensors.

23. Kang Huang, W. Liu, M. Shirvanimoghaddam, Y. Li, B. Vucetic, "Real-Time Remote Estimation with Hybrid ARQ in Wireless Networked Control," in IEEE Transactions on Wireless Communications, 2020 (arXiv,IEEEXplore)

    • Brief story: We consider a remote estimation problem of an unstable multi-variant dynamic system for mission-critical real-time applications.  In the literature, it is commonly believed that retransmissions cannot improve the performance of a mission-critical real-time remote estimation system, as it is a waste of transmission opportunity to transmit an out-of-date measurement instead of the current one. However, this is true only when a retransmission has the same success probability as a new transmission, e.g., with the standard automatic repeat request (ARQ) protocol. Note that a hybrid ARQ (HARQ) protocol is able to effectively increase the successful detection probability of a retransmission, which hence introduces a fundamental tradeoff between the reliability and freshness of the sensor’s measurement transmission.

    • We formulate a new problem to optimize the sensor’s online transmission control policy for static and Markov fading channels, which depends on both the current estimation quality of the remote estimator and the current number of retransmissions of the sensor, so as to minimize the long-term remote estimation mean squared error (MSE). This problem is non-trivial. In particular, it is challenging to derive the condition in terms of the communication channel quality and the dynamic system parameters, to ensure a bounded long-term estimation MSE. We derive an elegant sufficient condition of the existence of a stationary and deterministic optimal policy that stabilizes the remote estimation system and minimizes the MSE. Also, we prove that the optimal policy has a switching structure, and accordingly derive a low-complexity suboptimal policy.

24. Y. Wang, W. Liu, X. Zhou, G. Liu, "On the Performance of Splitting Receiver with Joint Coherent and Non-Coherent Processing," in IEEE Transactions on Signal Processing, vol. 68, pp. 917-930, 2020 (arXiv,IEEEXplore)

    • Brief story: In our previous work "A Novel Receiver Design with Joint Coherent and Non-Coherent Processing", I have proposed a new information-receiver architecture named as "splitting receiver", which is able to give a 50% higher rate than the conventional receivers under the assumption of zero antenna noise. In this work, we further investigate the performance of the splitting receiver with both the antenna noise and the post-processing noises taken into account, and rigorously prove that the splitting receiver improves the achievable data rate by a constant gap in the high SNR regime. Nevertheless, extensive numerical results show that the splitting receiver under the practical noise model still gives a reasonably high performance gain for both the ideal Gaussian signaling and practical modulation cases.

25. W. Liu, P. Popovski, Y. Li, B. Vucetic, "Wireless Networked Control Systems with Coding-Free Data Transmission for Industrial IoT", in IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1788-1801, March 2020 (arXiv, IEEEXplore)

    • Brief story: Consider a wireless networked control system with one controller and multiple remote plants to be wirelessly controlled.  

      • We propose a joint digital-analog wireless control protocol, where a digital header is preserved to support networking functions, and the data transmission for plant control is analog, i.e., a coding-free control process.

      • For the coding-free control process, we propose to jointly optimize the parameters of the controller and the actuators to minimize the average cost function of the dynamic plant subject to the transmission-power constraint of the controller.

      • What is the optimal power allocation policy of the controller to stabilize and minimize the sum cost of the remote plants? Water filling or channel inversion or fire quenching? The answer is that we should always allocate more power to control the plant with a worse channel condition, which is a fire-quenching strategy.

26. Kang Huang, W. Liu, Y. Li, B. Vucetic, A. Savkin, "Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT", in IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1756-1772, March 2020 (arXiv,IEEEXplore)

    • Brief story: In the literature of wireless networked control systems (WNCSs), a remote controller is commonly assumed to work in a full-duplex mode that can simultaneously receive a sensor’s packet and transmit its control packet to an actuator by default. Thus, the scheduling of the sensor’s and the controller’s transmissions has rarely been considered in the research area of WNCSs, while transmission scheduling is actually an important issue for practical wireless communication systems. In this paper, we focus on the design of a WNCS using a practical half-duplex controller, which naturally introduces a fundamental transmission-scheduling problem: "to sense or to control", i.e., to schedule the sensor’s measurement transmission to the controller or the controller’s command transmission to the actuator.

27. W. Liu, Kaibin Huang, X. Zhou, and S. Durrani, "Next Generation Backscatter Communication: Systems, Techniques and Applications", in EURASIP Journal on Wireless Communications and Networking, 2019 (arXiv , Open Access)

    • Brief story: In this magazine article, we present an overview of the active area of backscatter communications by discussing basic principles, system and network architectures and relevant techniques. Also, we describe the IoT applications for BackCom and how this technology can solve the energy challenge for IoT.

28. M. Shirvanimoghaddam, M. Mohammadi, R. Abbas, A. Minja, C. Yue, B. Matuz, G. Han, Z. Lin, W. Liu, Y. Li, S. Johnson, and B. Vucetic, "Short Block-Length Codes for Ultra-Reliable Low Latency Communications," in IEEE Communications Magazine 2019 (IEEEXplore)

29. W. Liu, Y.C. Liang, Y. Li, B. Vucetic, "Backscatter Multiplicative Multiple-Access Systems: Fundamental Limits and Practical Design," IEEE Transactions on Wireless Communications, Sep. 2018. (arXiv, IEEEXplore)

    • Brief story: The novel ambient backscatter multiple-access system introduces a new multiple-access channel model: the multiplicative multiple-access channel (MAC), which is very different from the conventional additive MAC. Many interesting works from both the information and communication theoretic perspectives can be conducted along this line.

30. W. Liu, X. Zhou, S. Durrani, P. Popovski, "A Novel Receiver Design with Joint Coherent and Non-Coherent Processing," IEEE Transactions on Communications, Aug. 2017. (arXiv, IEEEXplore)

    • Brief story: The proposed information receiver is able to provide a 1.5 times rate gain! :)

31. W. Liu, Kaibin Huang, X. Zhou, and S. Durrani, “Full-Duplex Backscatter Interference Networks Based on Time-Hopping Spreading Spectrum”, IEEE Transactions on Wireless Communications, July 2017. (arXiv,IEEEXplore)

    • Brief story: We propose a novel backscatter communication (BackCom) scheme to enable full-duplex BackCom and interference suppression in BackCom interference networks.

32. W. Liu, X. Zhou, S. Durrani, H. Mehrpouyan and S. D. Blostein, "Energy Harvesting Wireless Sensor Networks: Delay Analysis Considering Energy Costs of Sensing and Transmission," IEEE Transactions on Wireless Communications, vol. 15, no. 7, pp. 4635-4650, July 2016. (arXiv,IEEEXplore)

    • Brief story:  We consider two complementary metrics to measure the timeliness of a status monitoring WSN. Specifically, update age (age of information) is used to measure the freshness of the updated status, and update cycle is used to measure the frequency of the status-update process.

33. W. Liu, X. Zhou, S. Durrani, P. Popovski, "Secure Communication with a Wireless-Powered Friendly Jammer," IEEE Transactions on Wireless Communications, vol. 15, no. 1, pp. 401--415, Jan. 2016. (arXiv, IEEE Xplore)

    • Brief story: We propose a novel secure communication network architecture assisted by a wirelessly powered jammer. This is the first paper about trading energy for security.

34. W. Liu, Q. Li, F. He, H. Xiong, "Time-Triggered-Ethernet Synchronization and Scheduling Mechanism (时间触发以太网同步及调度机制的研究)," Aeronautical Computing Technique, Jul. 2011 [Chinese Version Only] (CNKI)

    • Brief story: In-depth analysis of the synchronization and scheduling method for a time-triggered Ethernet.

Conferences

1. J. Li, S. R. Khosravirad, J. Du, W. Liu and U. Mitra, "Communication and Control Interfacing for Co-design of Wireless Control Systems", in Prof. IEEE VTC'23-Spring

2. J. Chen, W. Liu, Y. Li, B. Vucetic, "Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling", in Proc. IEEE ICC'23 (arXiv)

3. G. Pang, W. Liu, Y. Li, B. Vucetic, "Deep Reinforcement Learning for Radio Resource Allocation in NOMA-based Remote State Estimation", in IEEE Globecom'22, Rio de Janeiro, Brazil. (arXiv)

4. Ke Wang, W. Liu, T. Lim, "Deep Reinforcement Learning for Joint Sensor Scheduling and Power Allocation under DoS Attack," in Proc. IEEE ICC'22, Seoul, South Korea.

5. Kang Huang, W, Liu, Y. Li, B. Vucetic, "To Sense or to Control: Wireless Networked Control Using a Half-Duplex Controller for IIoT," in Proc. IEEE Globecom'19, Hawaii, USA.

6. W. Liu, P. Popovski, Y. Li, B. Vucetic, "Real-Time Wireless Networked Control Systems with Coding-Free Data Transmission," in Proc. IEEE Globecom'19, Hawaii, USA.

7. Kang Huang, W. Liu, Y. Li, B. Vucetic, "To Retransmit or Not: Real-Time Remote Estimation in Wireless Networked Control," in Proc. IEEE ICC'19, Shanghai, China. (arXiv)

8. W. Liu, Y.C. Liang, Y. Li, B. Vucetic, "On Ambient Backscatter Multiple-Access Systems," in Proc. IEEE ICC'18, Kansas City, USA.

9. W. Liu, Kaibin Huang, X. Zhou, and S. Durrani, "Time-Hopping Multiple-Access for Backscatter Interference Networks", in Proc. IEEE Globecom'17, Singapore.

10. W. Liu, X. Zhou, S. Durrani, P. Popovski, "SWIPT with Practical Modulation and RF Energy Harvesting Sensitivity,"  in Proc. IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016. (IEEEXplore, ArXiv)

11. W. Liu, X. Zhou, S. Durrani, H. Mehrpouyan and S. D. Blostein, "Performance of Wireless-Powered Sensor Transmission Considering Energy Cost of Sensing," in Proc. IEEE Global Communications Conference (Globecom), San Diego, CA, USA, Dec. 2015. (IEEEXplore)

12. W. Liu, X. Zhou, S. Durrani, "Wireless-Powered Friendly Jammer for Physical Layer Security," in Proc. IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2015. (invited paper) (IEEEXplore)

Patents

      1. 一种基于时域窄脉冲的移动无线自组网时钟同步方法 (Narrow-Pulse Based Clock Synchronization Method for Ad Hoc Networks)

        Inventor: Wanchun Liu

        China Patent No. 201210441288

        Authorization Proclamation Date: Dec. 01, 2017

      2.  一种同频组网的无线终端调度分组方法 (A New Method for Grouping and Scheduling Wireless Terminals in Same-Frequency Network)

        Inventor: Wanchun Liu

        China Patent No. 201210468192

        Authorization Proclamation Date: May. 24, 2017

      3. 一种适用于时间触发交换式网络的周期调度时刻表构建方法 (A New Method for Building Periodic-Scheduling Timetable in Time-Triggered Ethernet)

        Co-inventors: Wanchun Liu, Qiao Li, Feng He, Huagang Xiong

        China Patent No. 201110187723

        Authorization Proclamation Date: Feb. 12, 2014

Book

      1. 基于ARM 32 位高速嵌入式微控制器 (ARM-Based 32-Bit High-Speed Embedded Micro-Controller)

        Co-authors: Dawei Tan, Youguang Zhang, Wanchun Liu

        Published by Publishing House of Electronics of Industry, Sep. 2012 [Chinese Version Only]