Exploiting New Degrees-of-Freedom in Wireless Networks with Reprogrammable Intelligent Metagratings

NSF Award Number: 2107216

Abstract

The explosive growth of wireless data traffic has triggered new user requirements and applications in wireless systems, motivating the exploration of innovative communication paradigms. In a parallel effort, the development of metasurfaces has shown the possibility of controlling electromagnetic waves in extreme ways, with potentially disruptive opportunities for wireless networking. This project explores the impact of reprogrammable intelligent metagratings (RIMs) on next-generation wireless systems. Several fundamental issues related to the use of RIMs in wireless networks will be addressed, such as RIM integration, interference management, resource allocation and multiple access. This research effort will enhance metasurface technology and wireless communication/networking systems, opening new perspectives and solution concepts for RIM-enhanced wireless systems. The proposed cross-layer approach will fill existing gaps both in communications and networks research, as well as in the physical layer. The resulting program will be inherently interdisciplinary and transformative, combining concepts in decision theory, optimization, information theory, communications, networking, control theory, electromagnetic and signal processing. The project team will publish research in high-profile journals, and resources such as data and codes will be publicly available to facilitate technology dissemination. The proposed research will also significantly boost the quality of our undergraduate and graduate programs, not only by impacting curriculum development but also by engaging students in highly interdisciplinary research, forming a new generation of scholars with unique expertise. The proposed outreach activities will encourage high-school students, especially female and minority students, to pursue science and engineering careers.

Significant advances in communication theory, networks, protocol and hardware research will be needed to allow effective coordination and maximum utilization of RIMs for wireless communications. The proposed research will advance in disruptive ways a highly interdisciplinary emerging research area: i) New theories, designs and experimental demonstrations will be developed to optimally enhance wireless communications, becoming the foundation for advances in network designs, protocols and algorithms. ii) The project will explore the opportunities enabled by breaking reciprocity in RIMs for full-duplex networks and enhanced spectral efficiency. iii) In addition to signal improvement at the desired destination, RIMs will also enable disruptive progress in mitigating interference. Resource management and interference management in RIM-assisted communication networks will be enabled, including spatial equalization before reception for multipath mitigation, RIM-assisted Device-to-Device communications and RIM-aided dirty paper coding. iv) The realized RIMs will improve localization accuracy and enhance existing protocols in the higher network layers, enabling RIM-assisted MAC access with collision avoidance and physical layer security.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Principal Investigators

  • Dr. Zhu Han
  • Dr. Lee Swindlehurst
  • Dr. Andrea Alu
  • Publications

    1. Tong, Jingwen and Zhang, Hongliang and Fu, Liqun and Leshem, Amir and Han, Zhu "Two-Stage Resource Allocation in Reconfigurable Intelligent Surface Assisted Hybrid Networks via Multi-player Bandits" IEEE Transactions on Communications , v.70 , 2022. [PDF]
    2. Li, Lixin and Ma, Donghui and Ren, Huan and Wang, Peijue and Lin, Wensheng and Han, Zhu "Toward Energy-Efficient Multiple IRSs: Federated Learning-Based Configuration Optimization" IEEE Transactions on Green Communications and Networking , v.6 , 2022. [PDF]
    3. Zhao, Jingjing and Yu, Lanchenhui and Cai, Kaiquan and Zhu, Yanbo and Han, Zhu "RIS-Aided Ground-Aerial NOMA Communications: A Distributionally Robust DRL Approach" IEEE Journal on Selected Areas in Communications , v.40 , 2022. [PDF]
    4. Sun, Shiyuan and Wang, Tengjiao and Yang, Fang and Song, Jian and Han, Zhu "Intelligent Reflecting Surface-Aided Visible Light Communications: Potentials and Challenges" IEEE Vehicular Technology Magazine , v.17 , 2022. [PDF]
    5. Elmossallamy, Mohamed A. and Sultan, Radwa and Seddik, Karim G. and Li, Geoffery Ye and Han, Zhu "Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels" Intelligent and Converged Networks , v.3 , 2022. [PDF]
    6. Zhang, Haobo and Zhang, Hongliang and Di, Boya and Bian, Kaigui and Han, Zhu and Song, Lingyang "MetaLocalization: Reconfigurable Intelligent Surface Aided Multi-User Wireless Indoor Localization" IEEE Transactions on Wireless Communications , v.20 , 2021. [PDF]
    7. Liu, Yiming and Liu, Erwu and Wang, Rui and Han, Zhu and Lu, Binyu "Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Aided Communication Systems" IEEE Wireless Communications Letters , v.10 , 2021. [PDF]
    8. Cao, Xuelin and Yang, Bo and Zhang, Hongliang and Huang, Chongwen and Yuen, Chau and Han, Zhu "Reconfigurable-Intelligent-Surface-Assisted MAC for Wireless Networks: Protocol Design, Analysis, and Optimization" IEEE Internet of Things Journal , v.8 , 2021. [PDF]
    9. Cao, Xuelin and Yang, Bo and Huang, Chongwen and Yuen, Chau and Zhang, Yan and Niyato, Dusit and Han, Zhu "Converged Reconfigurable Intelligent Surface and Mobile Edge Computing for Space Information Networks" IEEE Network , v.35 , 2021. [PDF]
    10. Cao, Xuelin and Yang, Bo and Huang, Chongwen and Alexandropoulos, George C. and Yuen, Chau and Han, Zhu and Poor, H. Vincent and Hanzo, Lajos "Massive Access of Static and Mobile Users via Reconfigurable Intelligent Surfaces: Protocol Design and Performance Analysis" IEEE Journal on Selected Areas in Communications , v.40 , 2022. [PDF]
    11. Zhang, Shuhang and Zhang, Hongliang and Di, Boya and Tan, Yunhua and Di Renzo, Marco and Han, Zhu and Vincent Poor, H. and Song, Lingyang "Intelligent Omni-Surfaces: Ubiquitous Wireless Transmission by Reflective-Refractive Metasurfaces" IEEE Transactions on Wireless Communications , v.21 , 2022. [PDF]
    12. Hu, Jingzhi and Zhang, Hongliang and Bian, Kaigui and Renzo, Marco Di and Han, Zhu and Song, Lingyang "MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning" IEEE Journal on Selected Areas in Communications , v.39 , 2021. [PDF]
    13. Soric, Jason and Ra’di, Younes and Farfan, Diego and Alu, "Radio-transparent dipole antenna based on a metasurface cloak," Nat Commun, v. 13, 2022. [PDF]
    14. Nagulu, Aravind and Ni, Xiang and Kord, Ahmed and Tymchenko, Mykhailo and Garikapati, Sasank and Alu, "Chip-scale Floquet topological insulators for 5G wireless systems" Nature Electronics, v. 5, 2022. [PDF]
    15. Nguyen, Nhan Thanh and Nguyen, Ly V. and Huynh-The, Thien and Nguyen, Duy H. and Lee Swindlehurst, A. and Juntti, Markku. "Machine Learning-based Reconfigurable Intelligent Surface-aided MIMO Systems" in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021. [PDF]
    16. A. L. Swindlehurst, G. Zhou, R. Liu, C. Pan and M. Li, "Channel Estimation With Reconfigurable Intelligent Surfaces--A General Framework," in Proceedings of the IEEE, 2022. [PDF]
    17. G. Zhou, C. Pan, H. Ren, P. Popovski and A. L. Swindlehurst, "Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems," in IEEE Transactions on Signal Processing, v. 70, 2022. [PDF]
    18. Liu, Rang and Li, Ming and Luo, Honghao and Liu, Qian and Swindlehurst, A. Lee (2023). Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions. IEEE Wireless Communications, v. 30, pp. 50-57, 2023. [PDF]
    19. Liu, Rang and Li, Ming and Swindlehurst, A. Lee (2022). Joint Beamforming and Reflection Design for RIS-assisted ISAC Systems. 022 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022. [PDF]
    20. Pan, Cunhua and Zhou, Gui and Zhi, Kangda and Hong, Sheng and Wu, Tuo and Pan, Yijin and Ren, Hong and Renzo, Marco Di and Lee Swindlehurst, A. and Zhang, Rui and Zhang, Angela Yingjun (2022). An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems. IEEE Journal of Selected Topics in Signal Processing, v. 16, no. 5, pp. 883-917. 2022. [PDF]
    21. Peng, Zhendong and Zhou, Gui and Pan, Cunhua and Ren, Hong and Swindlehurst, A. Lee and Popovski, Petar and Wu, Gang (2022). Channel Estimation for RIS-Aided Multi-User mmWave Systems With Uniform Planar Arrays. IEEE Transactions on Communications, v. 70. no. 12, pp. 8105-8122, 2022. [PDF]
    22. Tabeshnezhad, Azadeh and Swindlehurst, A. Lee and Svensson, Tommy (2023). RIS-Assisted Interference Mitigation for Uplink NOMA. 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023. [PDF]
    23. Wang, Fangzhou and Li, Hongbin and Swindlehurst, A. Lee (2023). Clutter Suppression for Target Detection Using Hybrid Reconfigurable Intelligent Surfaces. 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023. [PDF]
    24. Wang, Fangzhou and Swindlehurst, A. Lee (2023). Hybrid Ris-Assisted Interference Mitigation for Spectrum Sharing. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023. [PDF]