Wireless Frontier Lab

Wireless Frontier Lab

A research lab led by Prof. Lei Liu at the College of ISEE, Zhejiang University.

Wireless Frontier Lab @ ISEE ZJU

About Wireless Frontier Lab

The Wireless Frontier Laboratory, led by Professor Lei Liu, is affiliated to the College of Information Science and Electronic Engineering of Zhejiang University. Our main research directions include message passing algorithms, advanced modulation techniques, channel coding techniques, machine learning methods and information theory for wireless communications, etc.

Representative Work and Code Repo

See Prof. Lei Liu’s Google Scholar Profile or Prof. Lei Liu’s Homepage for more details.

I. Random Modulation (RM)

[ISIT 2025] L. Liu, Y. Chi and S. Huang, “Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrice,” Proc. 2025 IEEE Int. Symp. Inf. Theory, Ann Arbor (Michigan), USA. [Matlab][Slides][Video][GitHub]

[WCL] Y. Chi, L. Liu, Y. Ge, X. Chen, Y. Li, and Z. Zhang, “Interleave frequency division multiplexing”, IEEE Wireless Communications Letters, vol. 13, no. 7, pp. 1963-1967, July 2024. [WeChat Poster]

[CL] L. Liu, M. Wang, S. Li, Y. Chi, N. Wei and Z. Zhang, “Interleaved Block-Sparse Transform,” IEEE Communications Letters, vol. 29, no. 4, pp. 739-743, April 2025. [WeChat Poster]

II. AMP Algorithms (MAMP & OAMP)

[TIT] L. Liu, S. Huang and B. M. Kurkoski, ``Memory AMP,” IEEE Transactions on Information Theory, vol. 68, no. 12, pp. 8015-8039, Dec. 2022. [Matlab][Slides][Video][WeChat Poster][GitHub]

[SPL] J. Lu, L. Liu, S. Huang, N. Wei and X. Chen, “Distributed memory approximate message passing,” IEEE Signal Processing Letters, vol. 31, pp. 2660-2664, 2024. [WeChat Poster]

[ISIT 2024] L. Liu, S. Huang and B. M. Kurkoski, ``Sufficient statistic memory AMP,” arXiv preprint: arXiv:2112.15327, Jan. 2022. (submitted to IEEE Transactions on Information Theory) [Matlab][Slides]

[TCOMM] L. Liu, Y. Cheng, S. Liang, J. H. Manton and L. Ping, “On OAMP: Impact of the orthogonal principle,” IEEE Transactions on Communications, vol. 71, no. 5, pp. 2992-3007, May 2023.

[TWC] Y. Chen, L. Liu, Y. Chi, Y. Li and Z. Zhang, “Memory AMP for Generalized MIMO: Coding Principle and Information-Theoretic Optimality,” in IEEE Transactions on Wireless Communications, Dec. 2023.

[TSP] F. Tian, L. Liu and X. Chen, “Generalized memory approximate message passing for generalized linear model,” in IEEE Transactions on Signal Processing, vol. 70, pp. 6404-6418, 2022. [Matlab]

[JASC] Y. Cheng, L. Liu and L. Ping, “Orthogonal AMP for massive access in channels with spatial and temporal correlations,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 3, 726-740, March 2021.

[TSP] Y. Cheng, L. Liu, S. Liang, J. H. Manton and L. Ping, “Orthogonal AMP for problems with multiple measurement vectors and/or multiple transforms,” IEEE Transactions on Signal Processing, vol. 71, pp. 4423-4440, Nov. 2023.

III. Capacity Optimality and Coding Principle of AMP Algorithms (AMP & OAMP)

[TIT] L. Liu, C. Liang, J. Ma and L. Ping, “Capacity optimality of AMP in coded systems,” IEEE Transactions on Information Theory, vol. 67, no. 7, 4929-4445, July 2021, arXiv preprint arXiv:1901.09559, 2019. [Matlab][Slides1][Video][Sildes2]

[TCOMM] L. Liu, S. Liang and L. Ping, “On capacity optimality of OAMP: Beyond IID sensing matrices and Gaussian signaling,” IEEE Transactions on Communications, 2024. [Matlab][Sildes]

[TSP] L. Liu, Y. Chi, Y. Li, and Z. Zhang, ``Achievable rates of generalized Linear systems with orthogonal/vector AMP receiver,” IEEE Transactions on Signal Processing, vol. 71, pp. 4116-4133, Nov. 2023.

[TWC] J. Ma, L. Liu, X. Yuan and L. Ping, ``On orthogonal AMP in coded linear vector systems,” IEEE Transactions on Wireless Communications, 18(12), 6487-6501, Oct. 2019.

[TCOMM] Y. Chi, L. Liu, G. Song, Y. Li, Y. L. Guan and C. Yuen, ``Constrained capacity Optimal generalized multi-user MIMO: A theoretical and practical framework,” IEEE Transactions on Communications, vol. 70, no. 12, pp. 8086-8104, Dec. 2022. [Slides]

IV. Turbo Algorithms (GMP)

[Highly-Cited Paper, TWC] L. Liu, C. Yuen, Y. L. Guan, Y. Li and C. Huang, ``Gaussian message passing for overloaded massive MIMO-NOMA,” IEEE Transactions on Wireless Communications, vol. 18, no. 1, 210-226, Jan. 2019. [Matlab] [Slides]

[TWC] L. Liu, C. Yuen, Y. L. Guan, Y. Li and Y. Su, ``Convergence analysis and assurance for Gaussian message passing iterative detector in massive MU-MIMO systems,” IEEE Transactions on Wireless Communications, vol. 15, no. 9, 6487-6501, Sept. 2016. [matlab] [Slides]

[Highly-Cited Paper, TSP] C. Huang, L. Liu, C. Yuen and S. Sun, ``Iterative channel estimation using LSE and sparse message passing for mmWave MIMO systems,” IEEE Transactions on Signal Processing, vol. 67, no. 1, pp. 245 - 259, Jan. 2019.

V. Capacity Optimality and Coding Principle of Turbo-LMMSE

[Highly-Cited Paper, TSP] L. Liu, Y. Chi, C. Yuen, Y. L. Guan and Y. Li, ``Capacity-achieving MIMO-NOMA: Iterative LMMSE detection,” IEEE Transactions on Signal Processing, vol. 67, no. 7, 1758 - 1773, April 2019. [C++] [Slides]

[TWC] Y. Chi, L. Liu, G. Song, C. Yuen, Y. L. Guan and Y. Li, “Practical MIMO-NOMA: Low complexity and capacity-approaching solution,” IEEE Transactions on Wireless Communications, vol. 17, no. 9, 6251-6264, Sept. 2018. [C++]

About Prof. Lei Liu

Dr. Lei Liu is a tenure-track young professor at Zhejiang University, Hangzhou, China. He received the Ph.D. degree in Communication and Information Systems from Xidian University (XDU) in 2017. From 2014 to 2016, he was an exchange Ph.D. student with the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore. From 2016 to 2017, he was a Post-Doctoral Research Fellow with the Singapore University of Technology and Design (SUTD), Singapore. From 2017 to 2019, he was a Research Fellow with the department of Electrical Engineering, City University of Hong Kong (CityU), Hong Kong. From 2019 to 2023, he was an Assistant Professor with the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST, a national university in Japan), Japan. He has been at the College of Information Science and Electronic Engineering, Zhejiang University since February 2023.

He was one of the Organizing Committee Members, the Publications Co-Chair, and the (Sparse Signal Recovery) Session Chair of the 2021 IEEE Information Theory Workshop. He was an Exemplary Reviewer (fewer than 2%) of IEEE Transactions on Communications, 2020. He is a senior member of IEEE and the China Institute of Communications (CIC). From 2023 to 2026, he is supported by the Excellent Young Scientists Program (Overseas) of National Natural Science Foundation of China (NSFC).

He serves on the technical program committee for IEEE Globecom, IEEE ICC, IEEE ICCC, and IEEE VTC, and as a Reviewer for IEEE JSAC, IEEE TWC, IEEE TSP, IEEE TCOM, NeuIPS, ICML, IEEE TVT, IEEE IoTJ, etc.

He has long been engaged in research on message-passing algorithms and their applications in statistical signal processing, wireless communications and information theory, and is one of the first researchers in the world to study memory message-passing algorithms. He was the first to present the optimal compiled code principle and prove the capacity optimality of the parallel iterative Turbo-LMMSE algorithm for NOMA systems; the first to propose a low-complexity and capacity-optimal AMP joint detection and decoding algorithm for discrete large-scale MIMO, which is a promising solution for 5G+ communications; one of the first researchers in the world to propose the memory message passing (MAMP) mechanism; and the inventor of the universal, low complexity and minimum mean square error optimal MAMP algorithm, breaking through the matrix limitation and high-complexity bottleneck of the existing AMP class algorithms. MAMP has great application prospects in statistical signal processing, wireless communications, artificial intelligence, and other fields.

Looking for Master and PhD students (scholarship available). Post-Doc & Research Assistant Positions are also available. If you are interested, please send me (lei_liu@zju.edu.cn) your CV and academic transcript.