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Publications

Book Chapter

  1. Z. Zhang, Y. Chen, Q. Yu, and L. Dai, “IRS Architecture and Hardware Design,” in Intelligent Surfaces Empowered 6G Wireless Network, Chapter 2, pp.15-36, Wiley-IEEE Press, Dec. 2023. [Book]

  2. Z. Zhang, Z. Xu, H. Li, and L. Dai, “Optimization of Active Metasurfaces,” in Reconfigurable Metasurfaces for Wireless Communications: Architectures, Modeling, and Optimization, Part B, Springer Nature, 2024.

Journal Papers

  • Note: *=Corresponding author

  1. Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RIS vs. passive RIS: Which will prevail in 6G?,” IEEE Transactions on Communications, vol. 71, no. 3, pp. 1707-1725, Mar. 2023. [Paper] [Codes] (ESI Top 0.1% Hot Paper & ESI Top 1% Highly Cited Paper)

  2. Z. Zhang and L. Dai, “A joint precoding framework for wideband reconfigurable intelligent surface aided cell-free network,” IEEE Transactions on Signal Processing, vol. 69, pp. 4085-4101, Aug. 2021. [Paper] [Codes] (ESI Top 1% Highly Cited Paper)

  3. Z. Zhang and L. Dai, “Pattern-division multiplexing for multi-user continuous-aperture MIMO,” IEEE Journal on Selected Areas in Communications, vol. 41, no. 8, pp. 2350-2366, Aug. 2023. [Paper] [Codes]

  4. Z. Zhang, H. Zhao, J. Wang, and Y. Shen, “Signal-multiplexing ranging for network localization,” IEEE Transactions on Wireless Communications, vol. 21, no. 3, pp. 1694-1709, Mar. 2022. [Paper] [Codes]

  5. Z. Zhang and L. Dai, “Reconfigurable intelligent surfaces for 6G: Nine fundamental issues and one critical problem,” Tsinghua Science and Technology, vol. 28, no. 5, pp. 929-939, Oct. 2023. [Paper] [Codes] (Invited Paper)

  6. J. Zhang, Z. Li, and Z. Zhang*, “Wideband active RISs: Architecture, modeling, and beamforming design”, IEEE Communications Letters, vol. 27, no. 7, pp. 1899-1903, Jul. 2023. [Paper]

  7. K. Liu, Z. Zhang, L. Dai, and L. Hanzo, “Compact user-specific reconfigurable intelligent surfaces for uplink transmission,” IEEE Transactions on Communications, vol. 70, no. 1, pp. 680-692, Jan. 2022. [Paper] [Codes]

  8. K. Liu, Z. Zhang, L. Dai, S. Xu, and F. Yang, “Active reconfigurable intelligent surface: Fully-connected or sub-connected?,” IEEE Communications Letters, vol. 26, no. 1, pp. 167-171, Jan. 2022. [Paper] [Codes] (ESI Top 1% Highly Cited Paper)

  9. H. Zhao, Z. Zhang, J. Wang, Z. Zhang, and Y. Shen, “A signal-multiplexing ranging scheme for integrated localization and sensing,” IEEE Wireless Communications Letters, vol. 11, no. 8, pp. 1609-1613, Aug. 2022. [Paper]

  10. H. Zhao, Z. Zhang, L. Xu, Y. Wang, and Y. Shen, “Enhancing timeliness in asynchronous vehicle localization: A signal-multiplexing network measuring approach,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 10, pp. 13729-13743, Oct. 2024. [Paper]

  11. D. Shen, Z. Zhang, and L. Dai, “Joint beamforming design for RIS-assisted cell-free network with multi-hop transmissions”, Tsinghua Science and Technology, vol. 28, no. 6, pp. 1115-1127, Dec. 2023. [Paper]

  12. Z. Wan, J. Zhu, Z. Zhang, L. Dai, and C. B. Chae, “Mutual information for electromagnetic information theory based on random fields,” IEEE Transactions on Communications, vol. 71, no. 4, pp. 1982-1996, Apr. 2023. [Paper] [Codes]

  13. Y. Lu, Z. Zhang, and L. Dai, “Hierarchical beam training for extremely large-scale MIMO: From far-field to near-field,” IEEE Transactions on Communications, vol. 72, no. 4, pp. 2247-2259, Apr. 2024. [Paper] [Codes]

Papers Under Review

  • Note: *=Corresponding author

  1. Z. Zhang, J. Zhu, L. Dai, and R. Heath, “Successive Bayesian reconstructor for channel estimation in fluid antenna systems,” arXiv preprint arXiv:2312.06551, Dec. 2023. (Under Review in IEEE TWC, Major Revision)

  2. Z. Zhang and M. Cui, “Channel estimation for densifying MIMO via two-dimensional ice filling”, Submitted to IEEE Transactions on Signal Processing, Oct. 2024. (Under Review in IEEE TSP)

  3. M. Cui, Z. Zhang*, L. Dai, K. Huang, “Near-optimal channel estimation for dense array systems,” arXiv preprint arXiv:2404.06806, Apr. 2024. (Under Review in IEEE TWC)

  4. Z. Xu, Z. Zhang, and L. Dai, “Near-optimal near-field beam training: From searching to inference,” Submitted to IEEE Transactions on Wireless Communications, Nov. 2024. (Under Review in IEEE TWC)

  5. R. Su, Z. Zhang, and L. Dai, “Multi-beam design: From passive RIS to active RIS”, Submitted to Science China-Information Sciences, Apr. 2023. [Paper] (Under Review in SCIS, Major Revision)

  6. Z. Wu, M. Cui, Z. Zhang, and L. Dai, “Distance-aware precoding for near-field capacity improvement,” arXiv preprint arXiv:2112.14598, Dec. 2021.

  7. X. Chen, X. Zhong, Z. Zhang, L. Dai, and S. Zhou, “High-efficiency urban 3D radio map estimation based on sparse measurements,” arXiv preprint arXiv:2408.04205, Aug. 2024. (Under Review in IEEE TVT, Major Revision)

  8. Z. Zhang and M. Cui, “Two-dimensional ice filling based channel estimation in densifying MIMO systems”, Submitted to 2025 IEEE International Conference on Communications (IEEE ICC’25), Montreal, Canada, Jun. 2025. [Supplementary Materials] (Under Review in IEEE ICC)

  9. M. Cui, Z. Zhang*, L. Dai, and K. Huang, “Channel estimation for dense array systems via ice-filling”, Submitted to 2025 IEEE International Conference on Communications (IEEE ICC’25), Montreal, Canada, Jun. 2025. (Under Review in IEEE ICC)

  10. Z. Xu, Z. Zhang, and L. Dai, “Low-overhead near-field beam training based on Bayesian regression”, Submitted to 2025 IEEE International Conference on Communications (IEEE ICC’25), Montreal, Canada, Jun. 2025. (Under Review in IEEE ICC)

Conference Papers

  • Note: *=Corresponding author

  1. Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, “Active RISs: Signal modeling, asymptotic analysis, and beamforming design,” in Proc. 2022 IEEE Global Communications Conference (IEEE GLOBECOM’22), Rio de Janeiro, Brazil, Dec. 2022. [Paper] [Codes]

  2. Z. Zhang and L. Dai, “Pattern-division multiplexing for continuous-aperture MIMO,” in Proc. 2022 IEEE International Conference on Communications (IEEE ICC’22), Gangnam-gu, Seoul, South Korea, May 2022. [Paper] [Codes] (ComSoc Student Grant)

  3. Z. Zhang and L. Dai, “Capacity improvement in wideband reconfigurable intelligent surface-aided cell-free network,” in Proc. 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (IEEE SPAWC’20), Atlanta, USA, May 2020. [Paper] [Codes]

  4. Z. Zhang, H. Zhao, and Y. Shen, “High-Efficient ranging algorithms for wireless sensor network,” in Proc. 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP’19), Xi'an, P.R. China, Oct. 2019. [Paper]

  5. Z. Zhang, J. Zhu, L. Dai, and R. Heath, “Successive Bayesian reconstructor for FAS channel estimation,” in Proc. 2024 IEEE Wireless Communications and Networking Conference (IEEE WCNC’24), Dubai, United Arab Emirates, Apr. 2024. [Paper]

  6. K. Liu, Z. Zhang, and L. Dai, “User-side RIS: Realizing large-scale array at user side,” in Proc. 2021 IEEE Global Communication Conference (IEEE GLOBECOM’21), Madrid, Spain, Dec. 2021. [Paper] [Codes]

  7. K. Liu and Z. Zhang*, “On the energy-efficiency fairness of reconfigurable intelligent surface-aided cell-free network,” in Proc. 2021 IEEE 93rd Vehicular Technology Conference (IEEE VTC’21 Spring), Helsinki, Finland, Apr. 2021. [Paper]

  8. J. Zhu, Z. Zhang, Z. Wan, and L. Dai, “On finite-time mutual information,” in Proc. 2022 IEEE International Symposium on Information Theory (IEEE ISIT’22), Espoo, Finland, Jun. 2022. [Paper] [Codes]

  9. Y. Chen, Z. Zhang, M. Cui, and L. Dai, “Channel estimation for non-stationary extremely large-scale MIMO,” in Proc. 2023 IEEE 97th Vehicular Technology Conference (IEEE VTC’23 Spring), Florence, Italy, Jun. 2023. [Paper]

  10. Y. Lu, Z. Zhang, and L. Dai, “Near-field 2D hierarchical beam training for extremely large-scale MIMO,” in Proc. 2023 IEEE Global Communications Conference (IEEE GLOBECOM’23), Kuala Lumpur, Malaysia, Dec. 2023. [Paper]

  11. Z. Wu, M. Cui, Z. Zhang, and L. Dai, “Distance-aware precoding for near-field capacity improvement in XL-MIMO,” in Proc. 2022 IEEE 95th Vehicular Technology Conference (IEEE VTC’22 Fall), Helsinki, Finland, Aug. 2022. [Paper] [Codes]

Others

  1. Z. Zhang, Y. Chen, Z. Peng, and L. Dai, “Active reconfigurable intelligent surface aided wireless communication prototype,” in Proc. 2022 IEEE Global Communications Conference (IEEE GLOBECOM’22, Demo Session), Rio de Janeiro, Brazil, Dec. 2022. [Slides]

  2. Z. Zhang, Y. Chen, Z. Wu, Y. Lu, Z. Wan, and L. Dai, “Active reconfigurable intelligent surface aided wireless communication prototype,” in Proc. 2023 IEEE Global Communications Conference (IEEE GLOBECOM’23, Demo Session), Kuala Lumpur, Malaysia, Dec. 2023.

  3. J. Huo, X. Han, J. Bi, H. Ma, R. Ma, C. Xu, L. Ye, H. Zhang, T. Zhang, Z. Zhang, and Y. Jiang, “Tinker@Home 2019 team description paper”, in Proc. 2019 Robot World Cup (RoboCup’19), Sydney, Australia, Jul. 2019. [Paper] [Video]

International Patents

  1. K. Liu, L. Dai, Z. Zhang, S. Xu, and F. Yang, “Low-power-consumption reconfigurable intelligent surface hardware structure, and precoding method and apparatus,” PCT Patent WO2022CN102301, May 2023. (Publication number: WO2023071264A1)

  2. L. Dai, K. Liu, Z. Zhang, R. Mackenzie, and M. Hao, “Wireless telecommunications network,” PCT Patent WO2021CN77059, Nov. 2021. (Publication number: WO2022174418A1)

  3. K. Liu, L. Dai, and Z. Zhang, “Resource allocation and precoding method and apparatus for cell-free network capable of achieving energy efficiency equilibrium,” PCT Patent WO2021CN112812, May 2021. (Publication number: WO2022262104A1)

  4. L. Dai, K. Liu, Z. Zhang, R. Mackenzie, and M. Hao, “Wireless telecommunications network including a multi-layer transmissive reconfigureable intelligent surface,” PCT Patent WO2022EP51724, Nov. 2021. (Publication number: WO2022175035A1)

  5. L. Dai, K. Liu, Z. Zhang, R. Mackenzie, and M. Hao, “Wireless telecommunications network including a multi-layer transmissive reconfigureable intelligent surface,” US Patent US2024039592A1, Nov. 2021. (Granted, Grant number: US12028139B2)

  6. L. Dai, K. Liu, Z. Zhang, R. Mackenzie, and M. Hao, “Wireless telecommunications network including a multi-layer transmissive reconfigureable intelligent surface,” EP Patent EP22704879, Nov. 2021. (Granted, Grant number: EP4295492A1)

Chinese Patents

  1. K. Liu, L. Dai, and Z. Zhang, “Energy efficiency fair non-cellular network resource allocation and pre-coding method and device,” CN Patent CN202110673957.2, Oct. 2021. (Publication number: CN113473499A)

  2. K. Liu, L. Dai, Z. Zhang, S. Xu, and F. Yang, “Low-power intelligent surface: Hardware structure, precoding, and device,” CN Patent CN202111271506.2, Feb. 2022. (Publication number: CN114040478A)

  3. Y. Shen, H. Zhao, and Z. Zhang, “Wireless network joint positioning method and system,” CN Patent ZL202110138213.0, Jun. 2021. (Granted, Grant number: CN112887906B)

  4. Y. Shen, Z. Zhang, X. Li, C. Xu, F. Ge, and Q. Zhi, “Dynamic network relative positioning method,” CN Patent ZL201810258348.9, Aug. 2018. (Granted, Grant number: CN108469600B)

  5. Y. Shen, Z. Zhang, H. Zhao, and J. Wang, “Network ranging method and device,” CN Patent ZL202010052977.3, Jun. 2020. (Granted, Grant number: CN111262755B)

  6. Y. Shen, X. Li, C. Xu, Z. Zhang, F. Ge, and Q. Zhi, “Motion planning and cooperative positioning method and device for unmanned vehicle network formation,” CN Patent ZL201810433350.5, Oct. 2018. (Granted, Grant number: CN108664024B)

  7. L. Dai, M. Cui, Z. Zhang, S. Suo, H. Qin, and X. Su, “Codebook generation method, channel estimation method, device, and storage medium,” CN Patent CN202210112147.4, Oct. 2022. (Publication number: CN116566446A)

  8. L. Dai, Z. Zhang, J. Li, S. Suo, and X. Su, “Method and device for determining phase shift matrix”, CN Patent CN202211578453.3, Nov. 2022. (Publication number: CN118174757A)

  9. L. Dai, J. Zhang, and Z. Zhang, “Precoding method and device for RIS aided OFDM communication systems”, CN Patent ZL202310539494.X, Oct. 2023. (Granted, Grant number: CN113452642B))

  10. Y. Shen, H. Zhao, H. Gao, and Z. Zhang, “A distributed localization and synchronization method for dynamic scenarios”, CN Patent CN202410254042.1, Mar. 2024. (Publication number: CN118368017A)