Intelligent Backscatter Communications for Green and Secure IoT Networks

Funding: 2021: $69,000
2022: $138,000
2023: $138,000
2024: $69,000

Project Member(s): Dinh, H.

Funding or Partner Organisation: Australian Research Council (ARC DECRA Scheme)
Australian Research Council (ARC DECRA Scheme)

Start year: 2021

Summary: This project aims to develop novel technologies empowered by intelligent radio wave backscatter to address the significant problem of connecting a very large number of wireless devices with low energy consumption and limited communication channels for future Internet-of-Things (IoT) networks. This project expects to advance knowledge in the area of green communications by utilising ambient backscatter, a breakthrough wireless communications technology. This will significantly reduce energy costs, enhance spectrum usage efficiency, and improve communication security thus greatly benefiting Australian industry, society and economy. Expected outcomes of the project include key technologies that promote the development of future IoT networks.

Publications:

Chu, NH, Hoang, DT, Nguyen, DN, Van Huynh, N & Dutkiewicz, E 2023, 'Joint Speed Control and Energy Replenishment Optimization for UAV-Assisted IoT Data Collection With Deep Reinforcement Transfer Learning', IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5778-5793.
View/Download from: Publisher's site

Hieu, NQ, Hoang, DT, Niyato, D, Wang, P, Kim, DI & Yuen, C 2022, 'Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles With Joint Radar-Data Communications', IEEE Transactions on Communications, vol. 70, no. 8, pp. 5164-5180.
View/Download from: Publisher's site

Lu, X, Cong Luong, N, Hoang, DT, Niyato, D, Xiao, Y & Wang, P 2022, 'Secure Wirelessly Powered Networks at the Physical Layer: Challenges, Countermeasures, and Road Ahead', Proceedings of the IEEE, vol. 110, no. 1, pp. 193-209.
View/Download from: Publisher's site

Nguyen, CT, Van Huynh, N, Chu, NH, Saputra, YM, Hoang, DT, Nguyen, DN, Pham, Q-V, Niyato, D, Dutkiewicz, E & Hwang, W-J 2022, 'Transfer Learning for Wireless Networks: A Comprehensive Survey', Proceedings of the IEEE, vol. 110, no. 8, pp. 1073-1115.
View/Download from: Publisher's site

Van Huynh, N, Nguyen, DN, Hoang, DT, Vu, TX, Dutkiewicz, E & Chatzinotas, S 2022, 'Defeating Super-Reactive Jammers With Deception Strategy: Modeling, Signal Detection, and Performance Analysis', IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7374-7390.
View/Download from: Publisher's site

Dinh, PV, Quang Uy, N, Nguyen, DN, Thai Hoang, D, Bao, SP & Dutkiewicz, E 1970, 'Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection', 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, pp. 848-853.
View/Download from: Publisher's site

Lotfi, I, Niyato, D, Sun, S, Dinh, HT, Li, Y & Kim, DI 2021, 'Protecting Multi-Function Wireless Systems From Jammers With Backscatter Assistance: An Intelligent Strategy', IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 11812-11826.
View/Download from: Publisher's site

Hoang, DT, Niyato, D, Kim, DI, Huynh, NV & Gong, S 2020, Ambient Backscatter Communication Networks, Cambridge University Press.

FOR Codes: Wireless communication systems and technologies (incl. microwave and millimetrewave), Networking and communications, Mobile Data Networks and Services, Emerging Defence Technologies, Environmentally Sustainable Information and Communication Services not elsewhere classified, Wireless Communications, Mobile technologies and communications

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.