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🏠 Homepage: leiliu-s-lab.github.io

Hi! This is Wireless Frontier Lab (Chinese name: 无线前沿实验室), one of the research labs at College of ISEE@ZJU (since 2023), led by Prof. Lei Liu. Our research focuses on wireless communication and signal procssing, information theory, coding theory, message passing algorithms and beyond. including OAMP/MAMP algorithms, Advanced Random Modulation/Multiplexing, and AI-RAN signal processing.

We have published multiple papers at top IEEE Journals such as TIT, TWC, TSP, TCOMM, and JASC. Our representitive work including three main aspects: Random Modulation, AMP Algorithms, and Turbo Algorithms.

       

📑 Representitive Works

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++]

Pinned Loading

  1. Memory_AMP Memory_AMP Public

    This is the MATLAB code for MAMP.

    MATLAB 9 1

  2. GMAMP GMAMP Public

    MATLAB 1

  3. Random-Modulation Random-Modulation Public

    This is the MATLAB code for the simulations in the paper "Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices".

    MATLAB 2

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