Noma: Time and Place in Nordic Cuisine

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Noma: Time and Place in Nordic Cuisine

Noma: Time and Place in Nordic Cuisine

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J. Lei, C. Feng, T. Zhang, Y. Liu and A. Nallanathan ``Trajectory Design in UAV-Based Emergency Communication Networks", in Proc. IEEE Int. Communications Conf. (ICC'21) Workshop, Montreal, Canada, June 2021. R. Zhong, X. Liu, Y. Liu, Y. Chen and X. Wang, "Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots", IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8007-8021, Oct. 2022. [Arxiv] F. J. Martin-Vega, Y. Liu, G. Gomez, M. C. Aguayo-Torres, and M. Elkashlan "Modeling and Analysis of NOMA Enabled CRAN with Cluster Point Process'', in Proc. IEEE Global Communications Conf. (GLOBECOM'17), Singapore, December 2017. W. Ni, Y. Liu, Z. Yang, and H. Tian ``Over-the-Air Federated Learning and Non-Orthogonal Multiple Access Unified by Reconfigurable Intelligent Surface", in Proc. IEEE INFOCOM workshop (INFOCOM'21). J. Zhao, Y. Zhu, X. Mu, K. Cai, Y. Liu and L. Hanzo, "Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) Assisted UAV Communications", IEEE Journal on Selected Areas in Communications, vol. 40, no. 10, pp. 3041-3056, Oct. 2022. [Arxiv]

Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design'', IEEE Transactions on Vehicular Technology; vol. 68, no. 8, pp. 8036-8049, Aug. 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. X. Liu, Y. Liu, Y. Chen, L. Wang and Z. Lu, ``Reinforcement Learning in V2I Communication Assisted Autonomous Driving", in Proc. IEEE Int. Communications Conf. (ICC'20), Virtual Conference, June 2020. T. Hou, Y. Liu, Z. Song, X. Sun, Y. Chen and J. Hou, ``Massive NOMA Enhanced IoT Networks with Partial CSI", in Proc. IEEE Int. Communications Conf. (ICC'20), Virtual Conference, June 2020. UAV-Aided Multi-Way NOMA Networks with Residual Hardware Impairments", IEEE Wireless Communications Letters; vol. 9, no. 9, pp. 1538-1542, Sept. 2020Z. Yang, Y. Liu, Y. Chen and T. Zhou, ``Deep Reinforcement learning for RIS-Aided Non-Orthogonal Multiple Access Downlink Networks", in Proc. IEEE Global Communications Conf. (GLOBECOM'20), Taibei, Taiwan, December 2020. X. Yue, Y. Liu, S. Kao, A. Nallanathan, and Z. Ding "Outage Performance of Full/Half-Duplex User Relaying in NOMA Systems'', in Proc. IEEE Int. Communications Conf. (ICC'17), Paris, France, May 2017.

Y. Cheng, K. H. Li, Y. Liu, K. C. Chan, and H. V. Poor, ``Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA'', IEEE Transactions on Wireless Communications; vol. 20, no. 6, pp. 3988-4000, June 2021 X. Mu, Y. Liu, L. Guo, J. Lin and H. V. Poor, ``Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks'', IEEE Journal on Selected Areas in Communications (JSAC); vol. 39, no. 10, pp. 3051-3066, Oct. 2021,The Noma team says that while its new book is ostensibly a cookbook, it’s not necessarily to be cooked from. This is very much the case. Though Noma 2.0​ - so called because it is concerned with the work of Noma’s test kitchen since the world-famous Copenhagen moved to its new location in 2018 - does give chefs a good insight into the makeup of its dishes it only gives limited instructions as to how to actually replicate them. A Unified Framework for Non-Orthogonal Multiple Access", IEEE Transactions on Communications; VOL. 66, NO. 11, NOVEMBER 2018.

Y. Liu, X. Liu, X. Gao, X. Mu, X. Zhou, O. Dobre, and H.V. Poor, "Robotic Communications for 5G and Beyond: Challenges and Research Opportunities", IEEE Communications Magazine, vol. 59, no. 10, pp. 92-98, October 2021. RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design'', IEEE Journal on Selected Areas in Communications; vol. 39, no. 4, pp. 1057-1071, April 2021, [Arxiv], included in [IEEE Best Readings] on RIS. ( Web of Science Highly Cited Paper)

Cooperative Non-orthogonal Multiple Access with Simultaneous Wireless Information and Power Transfer", IEEE Journal on Selected Areas in Communications; vol. 34, no. 4, pp. 938--953 Apr. 2016. X. Mu, Y. Liu, L. Guo, J. Lin, and R. Schober, “Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications”, IEEE Transactions on Wireless Communications; vol. 21, no. 5, pp. 3083-3098, May 2022. [Arxiv] ( Web of Science Highly Cited Paper) Y. Liu, Z. Ding, M. Elkashlan, and H. V. Poor, "Cooperative Non-orthogonal Multiple Access in 5G system with SWIPT'', in Proc. European Signal Processing Conf. (EUSIPCO' 15), Nice, France, August 2015. (Invited Paper) R. Zhong, X. Liu, Y. Liu and D. Zhang, and Y. Chen ``Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Maps", in Proc. IEEE Int. Communications Conf. (ICC'21) Workshop, Montreal, Canada, June 2021. Y. Zou, Y. Liu, X. Mu, X. Zhang, Y. Liu and C. Yuen, "Machine Learning in RIS-assisted NOMA IoT Networks", IEEE Internet of Things Journal, 2023.

Y. Xu, M. Chen, Z. Yang, Y. Liu, H. Long, and M. Shikh-Bahaei, ``Fair Non-Orthogonal Multiple Access Communication Systems with Reconfigurable Intelligent Surface", in Proc. IEEE PIMRC, Virtual Conference, Sept. 2020. X. Gao, Y. Liu, X. Liu and Z. Qin, ``Resource allocation in IRSs aided MISO-NOMA networks: A Machine Learning Approach", in Proc. IEEE Global Communications Conf. (GLOBECOM'20), Taibei, Taiwan, December 2020. Z. Qin, Y. Liu, Geoffrey Y. Li, and J. A. McCann, "Performance Analysis of Clustered Low-Power Wide-Area Networks'', IEEE Transactions on Vehicular Technology; vol. 68, no. 8, pp. 7616-7629, Aug. 2019. [Arxiv]X. Liu, Y. Liu, and Y. Chen, ``Deployment and Movement for Multiple Aerial Base Stations by Reinforcement Learning", in Proc. IEEE Global Communications Conf. (GLOBECOM'18), Abu Dhabi, December 2018. X. Gao, Y. Liu, and X. Mu, ``Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks", in Proc. IEEE Int. Communications Conf. (ICC'21), Montreal, Canada, June 2021. There are also plans for a Mad Academy, with funding from the Danish government, which aims to become “a Bauhaus of food”, as its executive director, Melina Shannon-DiPietro puts it – a place where all the different steps in food production are taught, and where efforts are geared towards answering the most urgent questions of the day: “How do we make food sustainable? How do we make food available to all? How do we protect food cultures against globalisation?”



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