Associate Professor Zihuai Lin
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Associate Professor Zihuai Lin

Leader of the IoT in Healthcare and Radar Imaging group
Center of IoT and Telecommunication (CIoTT)
School of Electrical and Computer Engineering
Associate Professor Zihuai Lin

Zihuai Lin (S’98–M’06–SM’10) received the Ph.D. degree in Electrical Engineering from Chalmers University of Technology, Sweden, in 2006. Prior to this, he worked at Ericsson Research, Stockholm, Sweden. Following his Ph.D. graduation, he worked as an Associate Professor at Aalborg University, Denmark. He is currently an Associate Professor at the School of Electrical and Computer Engineering at the University of Sydney, Australia. His research interests include IoT Wireless sensing and networking, 5G/6G cellular systems, IoT in healthcare,TeraHertz communications, see-through wall radar imaging, Ghost Imaging, wireless Artificial Intelligence (AI), AI based ECG/EEG signal analysis, information theory, communication theory, source/channel/network coding, coded modulation, MIMO, OFDMA, SC-FDMA, radio resource management, cooperative communications, small-cell networks and others.

Research works carried out in the area of wireless sensor network, industry IoT, 5G/6G, wireless Artificial Intelligence (AI), IoT in healthcare, AI based smart heart disease diagnostics, radar imaging, Ghost Imaging, joint source and channel coding, coded modulation, iterative decoding, MIMO, OFDMA, SC-FDMA, linear precoding, wireless ad hoc network, etc. Publications on top level journals and conferences in the led of communi- cations theory and wireless communications, such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Globecom, IEEE International Conference on Communications (ICC), IEEE International Symposium on Information Theory (ISIT), etc.

ELEC5514 - Networked Embedded Systems / IoT Wireless Sensing & Networking

ELEC4505/9515 Digital Communication Systems

ELEC5403 Radio Frequency Engineering

ELEC5101 Antennas and Propagation

Currently Supervised PhD students as the Primary Supervisor

Ms. Xucun Yan, Wearable ECG biosensors and AI automated heart disease diagnosis

Mr. Jichao Leng, Federated Learning for Wireless Communications

Mr. Shuang Liu, Quantum Imaging

Mr. Likun Sui, Analytical Bounds on Finite Length codes

Ms. Xiaoyu Chen, 6G Holographic Communication Systems

Mr. Weijie Li, 6G RIS THz systems

Ms. Xue Han, AI based Digital Twins Model for Human Body

Mrs Ghazal Fallah Tafti,Developing an Artificial Intelligence Framework for Smart Healthcare

Mr Hongdian Zhu,IoT and Smart Mat for Aged Care

Completed PhD thesis Supervisions as the Primary Supervisor

Dr. Yunkai Hu, "Ambient Backscatter and Reconfigurable Intelligent Surface Empowered Wireless Communications in Future 6G Networks",June 2021.

Dr. Di Zhai, "Scheduling Schemes in Wireless Powered IoT systems: Protocol Design and Performance Evaluation", June, 2018.

\Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Net-
works

Dr. Chuan Ma, "Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Networks", June 2018.

Dr. Xiaopeng Wang, "Applications and Principle Designs of Ghost Imaging", June 2018.

Dr. Youjia Chen, "Analysis and Optimization on the Emerging Technologies for Hetergeneous Networks", Jan. 2017

Dr. Jing Yue, "Distributed Joint Network-Channel Coding in Multi-Hop Wireless Networks", Mar 2016

Dr. Peng Wang, "Finite Length Analysis of Rateless Codes and Their Application in Wireless Networks", Jan. 2016

Dr. Yuanye Ma, "\Design of Network Coding Schemes and RF Energy Transfer in Wireless Communication Networks", Jan. 2016

Dr. Kun Pang, "Wireless Network Coding", 2014.

Completed MPhil thesis Supervisions as the Primary Supervisor

Yicong Liu, “A Dynamic Subarray Structure in Reconfigurable Intelligent Surfaces for TeraHertz Communication Systems", Mar. 2022

Moyu Liu, “Human Biometric Signals Monitoring based on WIFI Channel State Information using Deep Learning", Jan. 2022

Yuchen Wei, “Reliability Analysis Method and Network Optimization of 5G Backhaul Network for Operators", Dec. 2020

Sina Shamham, “Localization Privacy in the Era of Big Data and Machine Learning", Oct. 2019

Yi Wu, “Arti_cial-Pulse-Noise based Multipath Suppression Method for Through-Wall Imaging Radar",June 2018

Ruichen Luo, \Wi-Fi Based Microwave GI Surveillance for Indoor Scenarios", 2018

Xuefeng Yao, “Performance Analysis of Massive MIMO Networks", Dec. 2017

Ziqian Zhang, “Microwave Ghost Imaging Via LTE-DL Signals", Dec. 2017.

Yiwen Li, “Soft Information Based Protocols in Network Coded Relay Networks", Feb. 2014

Li Ma, “Design and Reliability Performance Evaluation of Network Coding Schemes for Lossy Wireless Networks", Aug. 2013

Di Zhai, \Scheduling Schemes in Wireless Powered IoT systems: Protocol Design and Performance
Evaluation", June 2018.
Yunkai Hu, \Ambient Backscatter and Recongurable Intelligent Surface Empowered Wireless Com-

munications in Future 6G Networks", June 2021.
Xucun Yan, Wearable ECG biosensors and AI automated heart disease diagnosis
Jichao Leng, Federated Learning for Wireless Communications
Shuang Liu, Quantum Imaging
Likun Sui, Analytical Bounds on Finite Length codes

Xiaoyu Chen, 6G RIS THz systems
Currently Supervised PhD students as the Primary Supervisor
Xucun Yan, Wearable ECG biosensors and AI automated heart disease diagnosis
Jichao Leng, Federated Learning for Wireless Communications
Shuang Liu, Quantum Imaging
Likun Sui, Analytical Bounds on Finite Length codes
Xiaoyu Chen, 6G RIS THz systems
Currently Supervised PhD students as the Primary Supervisor
Xucun Yan, Wearable ECG biosensors and AI automated heart disease diagnosis
Jichao Leng, Federated Learning for Wireless Communications
Shuang Liu, Quantum Imaging
Likun Sui, Analytical Bounds on Finite Length codes
Xiaoyu Chen, 6G RIS THz systems
Completed PhD thesis Supervisions as the Primary Supervisor
Yunkai Hu, \Ambient Backscatter and Recongurable Intelligent Surface Empowered Wireless Com-
munications in Future 6G Networks", June 2021. Yunkai Hu is currently working as a post-doc at
University of Sydney
Di Zhai, \Scheduling Schemes in Wireless Powered IoT systems: Protocol Design and Performance
Evaluation", June 2018. Di Zhai is currently working at China Grid.
Chuan Ma, \Distributed Resource Allocation and Performance Analysis in 5G Wireless Cellular Net-
works", June 2018 (with DATA61 scholarship). Chuan Ma is currently a Professor at Nanjing University
of Technology
Xiaopeng Wang, \Applications and Principle Designs of Ghost Imaging", June 2018. Xiaopeng is
currently with Beijing University of Technology as an assistant Professor.
Youjia Chen, \Analysis and Optimization on the Emerging Technologies for Hetergeneous Networks",
Jan. 2017 (with DATA61 scholarship). Youjia Chen is now a full professor at Fuzhou University (One
of the Chinese 211 Universities)
Jing Yue, \Distributed Joint Network-Channel Coding in Multi-Hop Wireless Networks", Mar. 2016.
Jing Yue is currently an associate Professor at KTH, Sweden)
Peng Wang, \Finite Length Analysis of Rateless Codes and Their Application in Wireless Networks",
Jan, 2016. (with DATA61 scholarship) (Postdoc at University of Sydney)
Yuanye Ma, \Design of Network Coding Schemes and RF Energy Transfer in Wireless Communication
Networks", Jan, 2016.
Kun Pang, \Wireless Network Coding", 2014.

6G/THz communications

With a large amount of available bandwidth,Terahertz Communications are essential for 6G to provide Tbps extremely high data rate throughput, low latency, and completely new application scenarios. Although it is a promising technology, there is still very limited understanding of outdoor channel models and the fundamental propagation theory for THz communications. In this project, we will design low complexity ultra-wideband cellular transceivers for extremely large MIMO systems in THz communications, develop future heterogenous THz communication network architectures, develop RIS-based wireless transmitters having great potential for realizing ultra-massive (UM)-MIMO and holographic MIMO technologies, and develop UAV assisted THz 6G networks by jointly considering Razor-sharp beamforming and RIS design [10,12].

Edge AI based Healthcare IoT for COVID-19

This project combines digital health engineering and infectious diseases’ expertise to develop an automated COVID-19 healthcare edge Artificial Intelligence (AI) based IoT system which can be used for public health control and taking care of patients suffered from COVID-19 staying at home. For public health control, we have developed an eGate health screening system designed to control entry to healthcare facilities. The COVID-19 eGate includes a brief symptom survey delivered through voice recognition or an app, and an advanced temperature scanner combined with automated access control. The first generation edge AI based healthcare IoT system is now being used at Sydney Children Hospital Networks (Westmead) [1-9].

Design of Ultra-Low Latency Techniques for Short-packet Transmissions in 5G Mobile Communication Systems

This project will investigate the fundamental theory and design the wireless communication techniques to support transmission of short packets with ultra-low latency. More specifically, the aims of this project are: (1) establishing the information-theoretic performance limits of wireless communications using short codewords (or equivalently short codes);(2)designing short codes for short packet transmissions whose performance approaches the aforementioned information-theoretic limit; (3) developingnew technologies, i.e., self-adaptive coding scheme, channel prediction technique, and novel multiple access technique,required for developing a wireless communication system to support short packet transmissions with ultra-low latency and high reliability;(4) developing a testbed to validate the effectiveness of the proposed wireless communication techniques. We will tackle the challenges by developing, implementing and validating new theories and design methodologies, which draw upon a wide range of techniques from information theory, coding theory, optimisationtheory, and stochastic geometry [17-20]

Millimetre Wave Power Transfer in Future Wireless Sensor Networks

This project has two main groups of aims – theoretical and practical. The theoretical aims are to take the field of wireless power transfer forward by developing advanced beam-forming techniques with mm-wave signals for efficient wireless power transfer, while ensuring safety of humans and animals. The practical aims are to develop communication devices and networks for wireless power transfer and integrate them into a test-bed prototype. We will derive mm-wave channel analysis tools, design beam-forming and dynamic power allocation techniques for creating sharp mm-wave beams, which will have powers high enough to withstand propagation losses and deliver a considerable power to the communication devices and sensor receivers. We will develop mechanisms and protocols to ensure safety of humans and animals within the transmission range of mm-wave power transfer networks, by devising obstacle and life detection algorithms and transmitting signals over line-of sight paths only. We will build a test-bed of a wireless sensor network with wireless power transfer based on the novel methods developed in this project.

Microwave & mmWave Ghost imaging (GI)

Motivated by the urgent need to provide non-intrusive and privacy-preserving aged care, the commercial feasibility of 5G mm-Wave technologies, and the superior sensing capabilities of mm-Wave, this project will develop novel mm-Wave-based Ghost Imaging (GI) techniques for accurate, non-intrusive and privacy-preserving human activity monitoring. Specifically, the aims of the projects are:

  • To develop a mm-Wave GI based human activity monitoring system for a building environment;
  • To design innovative low-complexity non-random mm-Wave imaging anderror control coding assisted mm-Wave GI schemes for accurate human activity monitoring;
  • To develop a laboratory mm-Wave GI testbed based on our existing optical GI prototype. The proposed mm-Wave GI algorithms will be validated by the developed testbed for a building environment.

It is important to understand that the home is a complex and challenging environment and in resolving the critical sensing issues that arise in such an environment, the principles developed in this project will have application across a range of other domains, e.g., security, surveillance, biomedical imaging.

Human Biometric Signals Monitoring based on WiFi Channel State Information using Deep Learning

We use WiFi channel state information for human pose and sleep quality monitoring based on artifical intelligence, for details see our paper

n this paper, we first present a single-input,
multiple-output convolutional neural network that can estimateReference:

1. X. Yan, D. Yang, Z. Lin, B. Vucetic, “Significant low-dimensional spectral-temporal features for seizer detection”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2022 Mar 4;PP. doi: 10.1109/TNSRE.2022.3156931.

2. J. Leng, Z. Lin, M. Ding, P. Wang, D. Smith and B. Vucetic, "Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities," inIEEE Wireless Communications Letters, doi: 10.1109/LWC.2022.3141792.

3. D. C. Nguyen, Q. V. Pham, P. Pathirana, M. Ding, A. Seneviratne, Z. Lin, “Federated Learning for Smart Healthcare: A Survey”, ACM Comput. Surv., Vol. 1, No. 1, Article . date: November 2021

4. X. Yao, M. Ding, Y. Chen, G. Mao, Z. Lin, "On the Theoretical Analysis of Network-wide Massive MIMO Performance and Pilot Contamination”, IEEE Transactions on Wireless Communications,DOI:10.1109/TWC.2021.3101525, Aug 2021

5. Y. Hu, P. Wang, Z. Lin, M. Ding, YC. Liang, “Performance Analysis of Ambient Backscatter Systems with LDPC-coded Source Signals” IEEE Transactions on Vehicular Technology, June, 2021

6. Y. Hu, P. Wang, Z. Lin, M. Ding, "Performance Analysis of Reconfigurable Intelligent Surface Assisted Wireless System with Low-Density Parity-Check Code," IEEE Communications Letters, June, 2021.

7. L. Meng. Y. Song,Z. Lin, Long-term wearable electrocardiogram signal monitoring and analysis based on convolutional neural network, IEEE Transactions on Instrumentation & Measurement,Volume: 70,April 2021

8. Z. Chen, Z. Lin, P. Wang, M. Ding, Negative-ResNet: noisy ambulatory electrocardiogram signal classification scheme.Neural Computing and Applications 33(10):1-13, July 2021 DOI:10.1007/s00521-020-05635-7

9. B. Liu, M. Ding, S. Shaham, W. Rahayu, F. Farokhi, andZ. Lin, “When Machine Learning Meets Privacy: A Survey and Outlook” ACM Computing Surveys,ACM Computing Surveys(IF10.282), Pub Date : 2021-03-05, DOI: 10.1145/3436755

10. X. Wang, P. Wang, M. Ding, Z. Lin, L. Hanzo and B. Vucetic, “Performance Analysis of TeraHertz Unmanned Aerial Vehicular Networks”,inIEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 16330-16335, Dec. 2020, doi: 10.1109/TVT.2020.3035831.

11. J. Wang, B. Li, G. Wang, Z. Lin, H. Wang and G. Chen, Optimal Power Splitting for MIMO SWIPT Relaying Systems with Direct Link in IoT Networks, Physical Communication,Volume43, December 2020.

12. S. E. Mood, M. Masoud Javidi, M. Ding, Z. Lin, Performance Optimization of UAV-Based IoT Communications Using a Novel Constrained Gravitational Search Algorithm", Neural Computing and Applications,33,15557–15568 (2021). https://doi.org/10.1007/s00521-021-06178-1

13. S. Shaham, M. Ding, B. Liu, S. Dang,Z. Lin, J. Li, “Privacy Preservation in Location-Based Services: A Novel Metric and Attack Model”, IEEE Transactions on Mobile Computing,vol. 20, no. 10, pp. 3006-3019, 1 Oct. 2021.doi: 10.1109/TMC.2020.2993599.

14. S. Shaham, M. Ding, B. Liu, S. Dang,Z. Lin, J. Li, “Privacy-Preserving Location Data Publishing: A Machine Learning Approach”, IEEE Transactions on Knowledge and Data Engineering,vol. 33, no. 9, pp. 3270-3283, 1 Sept. 2021. doi: 10.1109/TKDE.2020.2964658.

15. S. Shaham, M. Ding, B. Liu, S. Dang, Z. Lin and J. Li, "Privacy Preserving Location Data Publishing: A Machine Learning Approach," inIEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 9, pp. 3270-3283, 1 Sept. 2021. doi: 10.1109/TKDE.2020.2964658

16. D. Smith, P. Wang, M. Ding, J. Chan, B. Spak, X. Guan, P.Tyler, T. Rakotoarivelo, Z. Lin, T. Abbasi,"Privacy-Preserved Optimal Energy Trading, Statistics, and Forecasting for a Neighborhood Area Network" in Computer, vol. 53, no. 05, pp. 25-34, 2020.

17. M. Ding, D. LĂłpez-PĂ©rez, Y. Chen, G. Mao, Z. Lin and A. Y. Zomaya, "Ultra-Dense Networks: A Holistic Analysis of Multi-Piece Path Loss, Antenna Heights, Finite Users and BS Idle Modes," inIEEE Transactions on Mobile Computing, vol. 20, no. 4, pp. 1702-1713, 1 April 2021, doi: 10.1109/TMC.2019.2960223.

18. S. Shaham, M. Ding, Z. Lin, R. Abbas, “Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications”, IEEE Access,vol. 7, pp. 141104-141118, 2019, doi: 10.1109/ACCESS.2019.2944308.

19. M. Shirvanimoghaddam, M. Mohamadi, R Abbas, A. Minja, C. Yue, B. Matuz, G. Han, Z. Lin, Y. Li, S. Johnson, and B. Vucetic “Short Block-length Codes for Ultra-Reliable Low-Latency Communications”,IEEE Communications Magazine, Volume: 57 ,Issue: 2, February 2019.

20. P. Cheng, M. Ding, Z. Lin, Y. Li, B. Vucetic, “Localized Caching: A Machine Learning Approach Based on Rating Data”,IEEE Transactions on Communications, Volume: 67 ,Issue: 2, Feb. 2019.

accuracy can reach 95.925%

  1. OurCOVID-19 Smart IoT Screening System Pilot at Sydney Children’s Hospitals Network(nominated by University of Sydney)wonthe2021 IoT Awardsinthe Health Award category! https://www.iothub.com.au/news/announcing-the-2021-iot-awards-finalists-571728

  2. The project is also a candidate for theBest Health Projectcategory in the 2022 iTnews Benchmark Awards!https://www.itnews.com.au/awards/.

Biomedical engineering and technology, Robotics, Complex systems
Project titleResearch student
Design of RIS assisted Wireless Communication SystemsXiaoyu CHEN
Machine Learning Methods for Network layer security of Internet of ThingsJunhua HOU
Reconfigurable Intelligent Surfaces RIS Assisted wireless communication systemsWeijie LI
Resource optimization of wireless networks based on quantum neural networkWuchen WANG
Failure Predictive Modelling of Water AssetsZixuan XU
Intelligent Transportation System in the area of Autonomous DrivingMing YAN
Integration of Aerial and Terrestrial 3C Resource and Construction of Heterogeneous Cooperative Networks in 5G and 6G Communication SystemsYuxuan YANG
Resilient AI-Based Framework for Enhanced ECG Classification and Decision Support in Clinical PracticeZijian ZHAO

Publications

Book Chapters

  • Xiao, P., Lin, Z., Mao, J. (2012). MIMO Transmit Diversity: Theoretical Analyses and Practical Applications. In Khoa N Le (Eds.), Orthogonal Frequency Division Multiplexing with Diversity for Future Wireless Systems, (pp. 163-218). Sharjah, U.A.E: Bentham Science Publishers. [More Information]
  • Mao, J., Lin, Z., Xiao, P. (2012). Mobile WiMAX MIMO Beamforming Algorithms and Simulations. In Khoa N Le (Eds.), Orthogonal Frequency Division Multiplexing with Diversity for Future Wireless Systems, (pp. 436-489). Sharjah, U.A.E: Bentham Science Publishers. [More Information]

Journals

  • Yan, X., Lin, Z., Lin, Z., Vucetic, B. (2023). A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition. IEEE Internet of Things Journal. [More Information]
  • Wang, P., Li, Y., Lin, Z., Shirvanimoghaddam, M., Park, O., Park, G., Vucetic, B. (2023). Analysis of Rateless Multiple Access Scheme with Maximum Likelihood Decoding in an AWGN Channel. IEEE Transactions on Wireless Communications. [More Information]
  • Sui, L., Lin, Z. (2023). Analytical Bounds for the Optimal Code over the Reconfigurable Intelligent Surface at a Short Blocklength. IEEE Wireless Communications Letters, 12(9), 1573-1577. [More Information]

Conferences

  • Shaham, S., Kokshoorn, M., Ding, M., Lin, Z., Shirvanimoghaddam, M. (2020). Extended kalman filter beam tracking for millimeter wave vehicular communications. 2020 IEEE International Conference on Communications Workshops (ICC Workshops 2020), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Leng, J., Lin, Z., Wang, P. (2020). Poster abstract: An implementation of an internet of things system for smart hospitals. 5th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2020), Sydney: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Wei, Y., Yang, W., Lin, Z. (2020). Reliability of the Local IP Bearer Network: Analysis and Optimization. 12th International Conference on Communication Software and Networks, ICCSN 2020, Piscataway: Institute of Electrical and Electronics Engineers Inc. [More Information]

2023

  • Yan, X., Lin, Z., Lin, Z., Vucetic, B. (2023). A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition. IEEE Internet of Things Journal. [More Information]
  • Wang, P., Li, Y., Lin, Z., Shirvanimoghaddam, M., Park, O., Park, G., Vucetic, B. (2023). Analysis of Rateless Multiple Access Scheme with Maximum Likelihood Decoding in an AWGN Channel. IEEE Transactions on Wireless Communications. [More Information]
  • Sui, L., Lin, Z. (2023). Analytical Bounds for the Optimal Code over the Reconfigurable Intelligent Surface at a Short Blocklength. IEEE Wireless Communications Letters, 12(9), 1573-1577. [More Information]

2022

  • Han, X., Lin, Z., Clark, C., Vucetic, B., Lomax, S. (2022). AI Based Digital Twin Model for Cattle Caring. Sensors, 22(19), 1-18. [More Information]
  • Leng, J., Lin, Z., Ding, M., Wang, P., Smith, D., Vucetic, B. (2022). Client Scheduling in Wireless Federated Learning Based on Channel and Learning Qualities. IEEE Wireless Communications Letters, 11(4), 732-735. [More Information]
  • Nguyen, D., Pham, Q., Pathirana, P., Ding, M., Seneviratne, A., Lin, Z., Dobre, O., Hwang, W. (2022). Federated Learning for Smart Healthcare: A Survey. ACM Computing Surveys, 55(3). [More Information]

2021

  • Chen, Z., Lin, Z., Wang, P., Ding, M. (2021). Negative-ResNet: noisy ambulatory electrocardiogram signal classification scheme. Neural Computing and Applications, 33, 8857-8869. [More Information]
  • Hu, Y., Wang, P., Lin, Z., Ding, M., Liang, Y. (2021). Performance Analysis of Ambient Backscatter Systems with LDPC-Coded Source Signals. IEEE Transactions on Vehicular Technology, 70(8), 7870-7884. [More Information]
  • Hu, Y., Wang, P., Lin, Z., DIng, M. (2021). Performance Analysis of Reconfigurable Intelligent Surface Assisted Wireless System with Low-Density Parity-Check Code. IEEE Communications Letters, 25(9), 2879-2883. [More Information]

2020

  • Shaham, S., Kokshoorn, M., Ding, M., Lin, Z., Shirvanimoghaddam, M. (2020). Extended kalman filter beam tracking for millimeter wave vehicular communications. 2020 IEEE International Conference on Communications Workshops (ICC Workshops 2020), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Wang, J., Wang, G., Li, B., Lin, Z., Wang, H., Chen, G. (2020). Optimal power splitting for MIMO SWIPT relaying systems with direct link in IoT networks. Physical Communication, 43, 101169. [More Information]
  • Wang, X., Wang, P., Ding, M., Lin, Z., Lin, F., Vucetic, B., Hanzo, L. (2020). Performance Analysis of Terahertz Unmanned Aerial Vehicular Networks. IEEE Transactions on Vehicular Technology, 69(12), 16330-16335. [More Information]

2019

  • Yang, J., Ding, M., Mao, G., Lin, Z., Ge, X. (2019). Analysis of Underlaid D2D-Enhanced Cellular Networks: Interference Management and Proportional Fair Scheduler. IEEE Access, 7, 35755-35768. [More Information]
  • Shaham, S., Ding, M., Kokshoorn, M., Lin, Z., Dang, S., Abbas, R. (2019). Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications. IEEE Access, 7, 141104-141118. [More Information]
  • Yang, J., Ding, M., Mao, G., Lin, Z. (2019). Interference Management in In-band D2D Underlaid Cellular Networks. IEEE Transactions on Cognitive Communications and Networking, 5(4), 873-885. [More Information]

2018

  • Li, Q., Ding, M., Ma, C., Liu, C., Lin, Z., Liang, Y. (2018). A Reinforcement Learning Based User Association Algorithm for UAV Networks. 28th International Telecommunication Networks and Applications Conference (ITNAC 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhai, D., Chen, H., Lin, Z., Li, Y., Vucetic, B. (2018). Accumulate Then Transmit: Multi-user Scheduling in Full-Duplex Wireless-Powered IoT Systems. IEEE Internet of Things Journal, 5(4), 2753-2767. [More Information]
  • Yue, J., Xiao, M., Lin, Z., Vucetic, B. (2018). An expanded network coding with finite buffer size information dissemination approach in social networks. IEEE Wireless Communications and Networking Conference (WCNC 2018), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2017

  • Chen, Y., Ding, M., Lopez-Perez, D., Li, J., Lin, Z., Vucetic, B. (2017). Dynamic Reuse of Unlicensed Spectrum: An Inter-Working of LTE and WiFi. IEEE Wireless Communications, 24(5), 52-59. [More Information]
  • Zang, S., Bao, W., Yeoh, P., Chen, H., Lin, Z., Vucetic, B., Li, Y. (2017). Mobility Handover Optimization in Millimeter Wave Heterogeneous Network. 17th International Symposium on Communications and Information Technologies (ISCIT 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhai, D., Chen, H., Lin, Z., Li, Y., Vucetic, B. (2017). Multi-user Scheduling in Full-Duplex Wireless-Powered Communications with Energy Accumulation. 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2017), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2016

  • Chen, Y., Ding, M., Lopez-Perez, D., Lin, Z., Mao, G. (2016). A Space-Time Analysis of LTE and Wi-Fi Inter-Working. IEEE Journal on Selected Areas in Communications, 34(11), 2981-2998. [More Information]
  • Yu, K., Yue, J., Lin, Z., Akerberg, J., Bjorkman, M. (2016). Achieving reliable and efficient transmission by using network coding solution in industrial wireless sensor networks. IEEE 25th International Symposium on Industrial Electronics (ISIE 2016), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Chen, H., Ma, Y., Lin, Z., Li, Y., Vucetic, B. (2016). Distributed Power Control in Interference Channels with QoS Constraints and RF Energy Harvesting: A Game-Theoretic Approach. IEEE Transactions on Vehicular Technology, 65(12), 10063-10069. [More Information]

2015

  • Chen, Y., Li, J., Chen, H., Lin, Z., Mao, G., Cai, J. (2015). A Belief Propagation Approach for Distributed User Association in Heterogeneous Networks. IEEE 25th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC2014), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Zhou, J., Feng, Z., Lin, Z. (2015). A novel defect tracking algorithm for ink-jet printing video based on particle filter framework. Journal of Digital Information Management, 13(6), 405-410.
  • Ding, M., Lopez-Perez, D., Mao, G., Lin, Z. (2015). Approximation of uplink inter-cell interference in FDMA small cell networks. 2015 IEEE Global Communications Conference (GLOBECOM), Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2014

  • Qiu, J., Tao, C., Liu, L., Lin, Z., Tan, Z. (2014). A novel hybrid CDL-based multipath propagation model for the high-speed railway at 2.35 GHz. Science Bulletin, 59(35), 4976-4987. [More Information]
  • Wang, P., Mao, G., Lin, Z., Ge, X. (2014). An Efficient Network Coding based Broadcast Scheme with Reliability Guarantee. 2014 IEEE International Conference on Communications (ICC 2014), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Yue, J., Lin, Z., Vucetic, B. (2014). Distributed Fountain Codes With Adaptive Unequal Error Protection in Wireless Relay Networks. IEEE Transactions on Wireless Communications, 13(8), 4220-4231. [More Information]

2013

  • Mao, G., Lin, Z., Zhang, W. (2013). A Capacity Upper Bound for Large Wireless Networks with Generally Distributed Nodes. 2013 IEEE Global Communications Conference (GLOBECOM 2013), : SPIE. [More Information]
  • Li, Y., Lin, Z., Li, J., Vucetic, B. (2013). A soft information delivery scheme in two-way relay channels with network coding. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Li, J., Xu, J., Lin, Z., Vucetic, B. (2013). Achievable rate for a multi-source relaying system. 2013 IEEE Wireless Communications and Networking Conference (WCNC 2013), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2012

  • Yue, J., Pang, K., Lin, Z., Li, Y., Bai, B., Vucetic, B. (2012). Design and Performance Analysis of Distributed Network-Channel Codes for Wireless Sensor Networks. 2012 IEEE Global Communications Conference (GLOBECOM2012), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Pang, K., Lin, Z., Uchoa-Filho, B., Vucetic, B. (2012). Distributed Network Coding for Wireless Sensor Networks Based on Rateless LT Codes. IEEE Wireless Communications Letters, 1(6), 561-564. [More Information]
  • Xiao, P., Lin, Z., Mao, J. (2012). MIMO Transmit Diversity: Theoretical Analyses and Practical Applications. In Khoa N Le (Eds.), Orthogonal Frequency Division Multiplexing with Diversity for Future Wireless Systems, (pp. 163-218). Sharjah, U.A.E: Bentham Science Publishers. [More Information]

2011

  • Pang, K., Lin, Z., Li, Y., Vucetic, B. (2011). Design of Distributed Network-Channel Codes for Wireless Sensor Networks. 2011 IEEE International Conference on Communications (ICC 2011), Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Xiao, P., Lin, Z., Fagan, A., Cowan, C., Vucetic, B., Wu, Y. (2011). Frequency-domain equalization for OFDMA-based multiuser MIMO systems with improper modulation schemes. Eurasip Journal on Advances in Signal Processing, 2011 (73), 1-8. [More Information]

2010

  • Xiao, P., Lin, Z., Cowan, C. (2010). Analysis of Channel Capacity for LTE Downlink Multiuser MIMO Systems. 2010 IEEE 72nd Vehicular Technology Conference, Piscataway: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Lin, Z., Xiao, P., Vucetic, B., Sellathurai, M. (2010). Analysis of receiver algorithms for LTE SC-FDMA based uplink MIMO systems. IEEE Transactions on Wireless Communications, 9(1), 60-65. [More Information]
  • Lin, Z., Li, Y., Vucetic, B. (2010). Distributed Network Channel Coding for Multiple Access Relay Interference Channels. 2010 IEEE 71st Vehicular Technology Conference, Piscataway: Institute of Electrical and Electronics Engineers (IEEE).

2009

  • Lin, Z., Vucetic, B. (2009). Analytical upper bounds for convolutional coded CPM over rings. IEEE Communications Letters, 13(6), 372-374. [More Information]
  • Lin, Z., Vucetic, B. (2009). Performance analysis for convolutional coded CPM over rings. IEEE Transactions on Wireless Communications, 8(9), 4848-4854. [More Information]
  • Lin, Z., Xiao, P., Vucetic, B. (2009). SINR distribution for LTE downlink multiuser MIMO systems. IEEE International Conference on Acoustic, Speech, and Signal Processing ICASSP 2009, Piscataway, USA: Institute of Electrical and Electronics Engineers (IEEE). [More Information]

2008

  • Lin, Z., Vucetic, B., Mao, J. (2008). Ergodic Capacity of LTE Downlink Multiuser MIMO Systems. 2008 IEEE International Conference on Communications (ICC), New Jersey, NY: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
  • Lin, Z., Aulin, T. (2008). Joint Source and Channel Coding using Punctured Ring Convolutional Coded CPM. IEEE Transactions on Communications, 56(5), 712-723. [More Information]
  • Lin, Z., Aulin, T. (2008). On Combined Ring Convolutional Coded Quantisation and CPM for Joint source/Channel Coding. European Transactions on Telecommunications, 19(4), 443-453. [More Information]

2007

  • Figueiredo, D., Lin, Z., Sorensen, T. (2007). Average Error Probability of MIMO Diversity Systems in the Presence of Multiple Interferers. 4th IEEE International Symposium on Wireless Communication Systems 2007 (ISWCS 2007), USA: Institute of Electrical and Electronics Engineers (IEEE).
  • Lin, Z., Sorensen, T., Mogensen, P. (2007). Downlink SINR distribution of linearly precoded multiuser MIMO systems. IEEE Communications Letters, 11(11), 850-852. [More Information]
  • Lin, Z., Aulin, T. (2007). On Joint Source and Channel Coding Using Trellis Coded CPM: Analytical Bounds on the Channel Distortion. IEEE Transactions on Information Theory, 53(9), 3081-3094. [More Information]

2005

  • Lin, Z., Aulin, T. (2005). A New Trellis Source Encoding Method and its Application on Joint Source and Channel Coding. IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity ITW2005, United States: Institute of Electrical and Electronics Engineers (IEEE).
  • Lin, Z., Aulin, T. (2005). A Power and Bandwidth Efficient Joint Source and Channel Coding Scheme. 2005 IEEE International Conference on Communications ICC 2005, United States: Institute of Electrical and Electronics Engineers (IEEE).
  • Lin, Z., Aulin, T. (2005). An Iterative Approach to Joint Source-Channel Decoding of Combined TCQ/CPM. 2005 IEEE International Conference on Communications ICC 2005, United States: Institute of Electrical and Electronics Engineers (IEEE).

2003

  • Lin, Z., Aulin, T. (2003). New Lower Bounds on the Symbol Error Probability for MLSD of CPM Signals on the AWGN Channel. IET Communications, 150(5), 312-316. [More Information]
  • Lin, Z., Aulin, T. (2003). Symbol Error Probability Bounds for CPM Signaling over AWGN Channels. IEEE International Conference on Communications ICC 2003, USA: Institute of Electrical and Electronics Engineers (IEEE).

Selected Grants

2022

  • Predictive informatics for prevention of pressure injuries in hospital settings, Dunn A, Lin Z, Wang A, Western Sydney Local Health District/The Westmead Fellowship

2019

  • Coding for Ultra Reliable and Low Latency Communications, Li Y, Lin Z, Shirvanimoghaddam M, Popovski P, Australian Research Council (ARC)/Discovery Projects (DP)

International collaboration

ST Microelectronics

AMD/Xilinx

Star-net

ZTE Corporation[China]

Collaborated with ZTE for an ARC linkage project from 2011 to 2013. The title of the project is "Design of network coding schemes for the next generation of wireless cellular systems"
The research outcomes enable building of future cellular networks with improved throughput and error performance, which require lower power levels to achieve the same data rates and quality of service, thus offering significant environmental benefits

In the media

The research project regarding see-through wall system has been reported in more than 100 mediaoutlets, including SMH, see the link below:

https://www.smh.com.au/education/sydneyuniversity-researcher-invents-xray-prototype-to-see- through-buildings-20150907-gjgtpu.html

Our Healthcare and Hospital IoT projects

https://www.sydneyiot.com/

The ECG sensor and AI engine (iSoma)

https://www.isoma.com.au/

The ECG sensor and AI engine (The system can provide continuous monitoring of heart
operations to prevent cardiac arrests and strokes via its patented IoT diagnostic system)
Our Healthcare and Hospital IoT projects:
https://www.sydneyiot.com/
The ECG sensor and AI engine (The system can provide continuous monitoring of heart
operations to prevent cardiac arrests and strokes via its patented IoT diagnostic system)
https://www.isoma.com.au/
Our Healthcare and Hospital IoT projects:
https://www.sydneyiot.com/
The ECG sensor and AI engine (The system can provide continuous monitoring of heart
operations to prevent cardiac arrests and strokes via its patented IoT diagnostic system)
https://www.isoma.com.au/
Our Healthcare and Hospital IoT projects:
https://www.sydneyiot.com/
The ECG sensor and AI engine (The system can provide continuous monitoring of heart
operations to prevent cardiac arrests and strokes via its patented IoT diagnostic system)
https://www.isoma.com.au/
Our Healthcare and Hospital IoT projects:
https://www.sydneyiot.com/
The ECG sensor and AI engine (The system can provide continuous monitoring of heart
operations to prevent cardiac arrests and strokes via its patented IoT diagnostic system)
https://www.isoma.com.au/