Noma: Time and Place in Nordic Cuisine

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X. Xu, Y. Liu, X. Mu, Q. Chen, H. Jiang and Z. Ding, "Artificial Intelligence Enabled NOMA Toward Next Generation Multiple Access", IEEE Wireless Communications, vol. 30, no. 1, pp. 86-94, February 2023. [Arxiv] X. Yue and Y. Liu, "Performance Analysis of Intelligent Reflecting Surface Assisted NOMA Networks", IEEE Transactions on Wireless Communications; vol. 21, no. 4, pp. 2623-2636, April 2022. [Arxiv] ( Web of Science Highly Cited Paper)

M. Zhang, R. Zhong, X. Mu, Y. Chen, Y. Liu, " Resource Management for Heterogeneous Semantic and Bit Communication Systems", in Proc. IEEE Int. Communications Conf. (ICC'23) Workshop, Rome, Italy, May 2023. Z. Yang, Y. Liu, Y. Chen and G. Tyson, ``Deep Reinforcement Learning in Cache-Aided MEC Networks", in Proc. IEEE Int. Communications Conf. (ICC'19), Shanghai, China, May 2019. Z. Wang, X. Mu, Y. Liu and R. Schober, "Coupled Phase-Shift STAR-RISs: A General Optimization Framework", IEEE Wireless Communications Letters, vol. 12, no. 2, pp. 207-211, Feb. 2023. [Arxiv] J. Xu and Y. Liu ``Reconfigurable Intelligent Surface-assisted Networks: Phase Alignment Categories", in Proc. IEEE Int. Communications Conf. (ICC'21), Montreal, Canada, June 2021.

The verdict: Fermentation books

QoE-based Resource Allocation for Multi-cell NOMA Networks", IEEE Transactions on Wireless Communications; vol. 17, no. 9, pp. 6160-6176, Sept. 2018.

A Unified Framework for Non-Orthogonal Multiple Access", IEEE Transactions on Communications; VOL. 66, NO. 11, NOVEMBER 2018. Z. Yang, Y. Fu, Y. Liu, Y. Chen, and J. Zhang, "A New Look at AI-Driven NOMA-F-RANs: Features Extraction, Cooperative Caching, and Cache-Aided Computing", IEEE Wireless Communications, vol. 29, no. 3, pp. 123-130, June 2022. [Arxiv] UAV-to-Everything (U2X) Networks Relying on NOMA: A Stochastic Geometry Model'', IEEE Transactions on Vehicular Technology; vol. 69, no. 7, pp. 7558-7568, July 2020. Simultaneous Transmission And Reflection (STAR) RIS• J. Xu, X. Mu and Y. Liu, "Exploiting STAR-RISs in Near-Field Communications", IEEE Transactions on Wireless Communications, 2023. [Arxiv] Editorial -- Introduction to the Issue on Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks'", IEEE Journal of Selected Topics in Signal Processing;vol. 13, no. 3, pp. 388-391, June 2019.Y. Liu, S. Bi, Z. Shi, and L. Hanzo, ``When Machine Learning Meets Big Data: A Wireless Communication Perspective'' IEEE Vehicular Communication Magazine; vol. 15, no. 1, pp. 63-72, March 2020. D. Fan, Y. Liu, G. Wang, Z. Zhong and A. Nallanathan, "Joint Doppler and Channel Estimation for High-Speed Railway Wireless Communication with Massive ULA'', in Proc. IEEE Veh. Technol. Conf. (VTC-Spring'17) Workshop, Sydney, Australia, June 2017. X. Xu, Q. Chen, X. Mu, Y. Liu, and H. Jiang, "Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks", IEEE Journal on Selected Areas in Communications (JSAC); vol. 40, no. 1, pp. 259-275, Jan. 2022. [Arxiv] Fairness of User Clustering in MIMO Non-orthogonal Multiple Access Systems", IEEE Communications Letters; vol. 20, no. 7, pp. 1465-1468, July 2016. Z. Wang, X. Mu, Y. Zou, and Y. Liu, "Near-Field Wideband Beamfocusing Optimization: A Heuristic Two-Stage Approach", in Proc. IEEE Global Communications Conf. (GLOBECOM'23), Kuala Lumpur, Malaysia, December 2023.