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【海韵讲座】2024年第36期- NOMA Assisted Far-Field and Near-Field Communications
发布时间:2024年06月17日 09:34 点击:次

讲座题目: NOMA Assisted Far-Field and Near-Field Communications

主讲人: Zhiguo Ding,Department of EEE, University of Manchester

报告时间:2024年06月19日(星期三)14:00-15:00

报告地点:福州金嘉实业有限公司翔安校区金嘉实业1号楼108会议室

报告摘要:

One recent advance in non-orthogonal multiple access (NOMA) is its use as an add-on in a massive multiple-input multiple-output (m-MIMO) based legacy space division multiple access (SDMA) network, where spatial beams preconfigured for legacy users are used to serve additional users. As a result, the connectivity and the overall system throughput of SDMA can be improved in a low-complexity and spectrally efficient manner. For conventional SDMA networks based on far-field communications, this application of NOMA is intuitive, since the far-field spatial beams are cone-shaped. Recently near-field communications have received a lot of attention as, for high carrier frequencies and large numbers of antennas, the Rayleigh distance becomes significantly large. Unlike far-field communications, the spherical-wave channel model has to be used for nearfield communications, which motivates the use of beam-focusing, i.e., a beam is focused on not only a spatial direction but also a specific location. This talk is to focus on the resolution of near-field beam-focusing and how it can be used to facilitate the application of NOMA for the coexistence between near-field and far-field communications.

报告人简介:

Zhiguo Ding received his B.Eng in Electrical Engineering from the Beijing University of Posts and Telecommunications in 2000, and the Ph.D degree in Electrical Engineering from Imperial College London in 2005. He is currently a Professor in Communications at Khalifa University, and also affiliated with University of Manchester and Princeton University. Previously, he had been working in Queen's University Belfast, Imperial College, Newcastle University and Lancaster University. From Oct. 2012 to Sept. 2024, he has also been an academic visitor in Prof. Vincent Poor's group at Princeton University. Dr Ding' research interests are machine learning, B5G networks, cooperative and energy harvesting networks and statistical signal processing. His h-index is over 100 and his work receives 50,000+ Google citations. He is serving as an Area Editor for the IEEE TWC and OJ-COMS, an Editor for IEEE TVT, COMST, and OJ-SP, and was an Editor for IEEE TCOM, IEEE WCL, IEEE CL and WCMC. He received the best paper award of IET ICWMC-2009 and IEEE WCSP-2014, the EU Marie Curie Fellowship 2012-2014, the Top IEEE TVT Editor 2017, IEEE Heinrich Hertz Award 2018, IEEE Jack Neubauer Memorial Award 2018, IEEE Best Signal Processing Letter Award 2018, Alexander von Humboldt Foundation Friedrich Wilhelm Bessel Research Award 2020, IEEE SPCC Technical Recognition Award 2021, and IEEE VTS Best Magazine Paper Award 2023. He is a Web of Science Highly Cited Researcher in two disciplines (2019-2023), an IEEE ComSoc Distinguished Lecturer, and a Fellow of the IEEE.

邀请人:信息与通信工程系 徐位凯副教授、付立群教授

主讲人 Zhiguo Ding,Department of EEE, University of Manchester 主持人
时间 2024-06-19 14:00:00 报告题目
首作者 People
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主讲人简介 地点 福州金嘉实业有限公司翔安校区金嘉实业1号楼108会议室
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