ZTE Communications ›› 2024, Vol. 22 ›› Issue (1): 41-52.DOI: 10.12142/ZTECOM.202401006
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收稿日期:2023-12-19出版日期:2024-03-29发布日期:2024-03-28
Near-Field Beam Training for Holographic MIMO Communications: Typical Methods, Challenges and Future Directions
SHEN Jiayu1, YANG Jun2, ZHU Chen3, DENG Zhiji4, HUANG Chongwen1(
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- 1.Zhejiang University, Hangzhou 310058, China
2.ZTE Corporation, Shenzhen 518055, China
3.Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
4.Zhejiang Dahua Technology Co. , Ltd. , Hangzhou 310053, China
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Received:2023-12-19Online:2024-03-29Published:2024-03-28 -
About author:SHEN Jiayu is currently pursuing his BS degree with the College of Information Science and Electronic Engineering at Zhejiang University, China. His research interests focus on near-field communications.
YANG Jun received his BS degree in geophysics from the China University of Geosciences (Wuhan), China in 2011 and the joint-training PhD degree in geophysics from the University of Science and Technology of China and the University of North Carolina, USA in 2016. He is currently a senior algorithm engineer with ZTE Corporation. His research interests include reconfigurable intelligent surfaces, MIMO communications and computational electromagnetics.
ZHU Chen received his BS degree from North University of China in 2010, and MS degree from Zhejiang University of Technology, China in 2013. He is currently engaged in teaching and research at the College of Engineering, Zhejiang University, China. His main research interests include general sense computing integration, machine learning, image processing, and cloud-edge collaborative computing.
DENG Zhiji received his BS degree in communication engineering from Xiamen University in 2008. He is now working in Zhejiang Dahua Technology Co., Ltd., as the president of Central Research Institute/Future Communication Research Institute. His main research interests include global multidimensional sensing and large-scale video networking. He has hosted and participated in eight major scientific research projects at the national and ministerial levels. He has won multiple first and second prizes in science and technology awards at the provincial, ministerial, and national levels. He has won the titles of “High Level Talents” of Zhejiang Province, “Model Worker” of Binjiang, “Outstanding Invention Talent” of the Provincial Invention Association, “Outstanding Engineer” of the China Software Industry Association, etc. He has dominated four international standards of ITU-T and 10 industry standards, and has applied for 270 patents.
HUANG Chongwen (chongwenhuang@zju.edu.cn) received his BS degree from the Binhai College, Nankai University, China in 2010, and MS degree from the University of Electronic Science and Technology of China in 2013. He had worked with the Institute of Electronics, Chinese Academy of Sciences (IECAS) as a research engineer since July 2013. From September 2015, he had started his PhD journey with Singapore University of Technology and Design (SUTD), and CentraleSupélec University, France under the supervision of Prof. Chau YUEN and Prof. Mérouane DEBBAH. From October 2019 to September 2020, he was a post-doctoral researcher at SUTD. Since September 2020, he has been working with Zhejiang University, China as a tenure-track young professor. His main research interests include holographic MIMO surface/reconfigurable intelligent surface, B5G/6G wireless communications, mmWave/THz communications, and deep learning technologies for wireless communications. He was a recipient of the IEEE Marconi Prize Paper Award in wireless communications in 2021. He received the Singapore Government PhD Scholarship and PHC Merlion PhD Grant (2016–2019) for studying in CentraleSupélec, France. In addition, he has served as the chair of several wireless communications flagship conferences, including the session chair of 2021 IEEE WCNC, 2021 IEEE VTC-Fall, and the symposium chair of IEEE WCSP 2021.
引用本文
. [J]. ZTE Communications, 2024, 22(1): 41-52.
SHEN Jiayu, YANG Jun, ZHU Chen, DENG Zhiji, HUANG Chongwen. Near-Field Beam Training for Holographic MIMO Communications: Typical Methods, Challenges and Future Directions[J]. ZTE Communications, 2024, 22(1): 41-52.
| 1 | PIZZO A, SANGUINETTI L, MARZETTA T L. Fourier plane-wave series expansion for holographic MIMO communications [J]. IEEE transactions on wireless communications, 2022, 21(9): 6890–6905. DOI: 10.1109/TWC.2022.3152965 |
| 2 | HUANG C W, HU S, ALEXANDROPOULOS G C, et al. Holographic MIMO surfaces for 6G wireless networks: opportunities, challenges, and trends [J]. IEEE wireless communications, 2020, 27(5): 118–125. DOI: 10.1109/MWC.001.1900534 |
| 3 | HU S, RUSEK F, EDFORS O. Beyond massive MIMO: the potential of data transmission with large intelligent surfaces [J]. IEEE transactions on signal processing, 2018, 66(10): 2746–2758. DOI: 10.1109/TSP.2018.2816577 |
| 4 | DARDARI D, DECARLI N. Holographic communication using intelligent surfaces [J]. IEEE communications magazine, 2021, 59(6): 35–41. DOI: 10.1109/MCOM.001.2001156 |
| 5 | CHEN Z, MA X Y, ZHANG B, et al. A survey on terahertz communications [J]. China communications, 2019, 16(2): 1–35. DOI: 10.12676/j.cc.2019.02.001 |
| 6 | WANG J Y, LAN Z, PYO C W, et al. Beam codebook based beamforming protocol for multi-Gbps millimeter-wave WPAN systems [J]. IEEE journal on selected areas in communications, 2009, 27(8): 1390–1399. DOI: 10.1109/JSAC.2009.091009 |
| 7 | HUANG Y, WU Q Q, LU R, et al. Massive MIMO for cellular-connected UAV: challenges and promising solutions [J]. IEEE communications magazine, 2021, 59(2): 84–90. DOI: 10.1109/MCOM.001.2000552 |
| 8 | SAAD W, BENNIS M, CHEN M Z. A vision of 6G wireless systems: Applications, trends, technologies, and open research problems [J]. IEEE network, 2020, 34(3): 134–142. DOI: 10.1109/MNET.001.1900287 |
| 9 | VA V, CHOI J, HEATH R W. The impact of beamwidth on temporal channel variation in vehicular channels and its implications [J]. IEEE transactions on vehicular technology, 2017, 66(6): 5014–5029. DOI: 10.1109/TVT.2016.2622164 |
| 10 | SELVAN K T, JANASWAMY R. Fraunhofer and Fresnel Distances: Unified derivation for aperture antennas [J]. IEEE antennas and propagation magazine, 2017, 59(4): 12–15. DOI: 10.1109/MAP.2017.2706648 |
| 11 | HUR S, KIM T, LOVE D J, et al. Millimeter wave beamforming for wireless backhaul and access in small cell networks [J]. IEEE transactions on communications, 2013, 61(10): 4391–4403. DOI: 10.1109/TCOMM.2013.090513.120848 |
| 12 | HE T, XIAO Z Y. Suboptimal beam search algorithm and codebook design for millimeter-wave communications [J]. Mobile networks and applications, 2015, 20(1): 86–97. DOI: 10.1007/s11036-015-0568-5 |
| 13 | XIAO Z Y, HE T, XIA P F, et al. Hierarchical codebook design for beamforming training in millimeter-wave communication [J]. IEEE transactions on wireless communications, 2016, 15(5): 3380–3392. DOI: 10.1109/TWC.2016.2520930 |
| 14 | QI C H, CHEN K J, DOBRE O A, et al. Hierarchical codebook-based multiuser beam training for millimeter wave massive MIMO [J]. IEEE transactions on wireless communications, 2020, 19(12): 8142–8152. DOI: 10.1109/TWC.2020.3019523 |
| 15 | HEADLAND D, MONNAI Y, ABBOTT D, et al. Tutorial: terahertz beamforming, from concepts to realizations [J]. APL photonics, 2018, 3(5): 051101. DOI: 10.1063/1.5011063 |
| 16 | WU Z D, DAI L L. Multiple access for near-field communications: SDMA or LDMA? [J]. IEEE journal on selected areas in communications, 2023, 41(6): 1918–1935. DOI: 10.1109/JSAC.2023.3275616 |
| 17 | ALKHATEEB A, MO J H, GONZALEZ-PRELCIC N, et al. MIMO precoding and combining solutions for millimeter-wave systems [J]. IEEE communications magazine, 2014, 52(12): 122–131. DOI: 10.1109/MCOM.2014.6979963 |
| 18 | WEI X H, DAI L L, ZHAO Y J, et al. Codebook design and beam training for extremely large-scale RIS: far-field or near-field? [J]. China communications, 2022, 19(6): 193–204. DOI: 10.23919/JCC.2022.06.015 |
| 19 | CHEN J W, GAO F F, JIAN M N, et al. Hierarchical codebook design for near-field mmWave MIMO communications systems [J]. IEEE wireless communications letters, 2023, 12(11): 1926–1930. DOI: 10.1109/LWC.2023.3299354 |
| 20 | YOU C S, ZHENG B X, ZHANG R. Fast beam training for IRS-assisted multiuser communications [J]. IEEE wireless communications letters, 2020, 9(11): 1845–1849. DOI: 10.1109/LWC.2020.3005980 |
| 21 | CUI M Y, DAI L L. Channel estimation for extremely large-scale MIMO: far-field or near-field? [J]. IEEE transactions on communications, 2022, 70(4): 2663–2677. DOI: 10.1109/TCOMM.2022.3146400 |
| 22 | WANG P L, FANG J, ZHANG W Z, et al. Beam training and alignment for RIS-assisted millimeter-wave systems: state of the art and beyond [J]. IEEE wireless communications, 2022, 29(6): 64–71. DOI: 10.1109/MWC.006.2100517 |
| 23 | YOU C, ZHANG Y, WU C, et al. Near-field beam management for extremely large-scale array communications [EB/OL]. (2023-06-28) [2023-12-12]. |
| 24 | NOH S, ZOLTOWSKI M D, LOVE D J. Multi-resolution codebook based beamforming sequence design in millimeter-wave systems [C]//Global Communications Conference (GLOBECOM). IEEE, 2015: 1–6. DOI: 10.1109/GLOCOM.2015.7417848 |
| 25 | HUANG C W, ZAPPONE A, ALEXANDROPOULOS G C, et al. Reconfigurable intelligent surfaces for energy efficiency in wireless communication [J]. IEEE transactions on wireless communications, 2019, 18(8): 4157–4170. DOI: 10.1109/TWC.2019.2922609 |
| 26 | LIU A, HUANG Z, LI M, et al. A survey on fundamental limits of integrated sensing and communication [J]. IEEE communications surveys & tutorials, 2022, 24(2): 994–1034. DOI: 10.1109/COMST.2022.3149272 |
| 27 | SONG H J, NAGATSUMA T. Present and future of terahertz communications [J]. IEEE transactions on terahertz science and technology, 2011, 1(1): 256–263. DOI: 10.1109/TTHZ.2011.2159552 |
| 28 | SU Y T, LIU Y Q, ZHOU Y Q, et al. Broadband LEO satellite communications: architectures and key technologies [J]. IEEE wireless communications, 2019, 26(2): 55–61. DOI: 10.1109/MWC.2019.1800299 |
| 29 | BASAR E, DI RENZO M, DE ROSNY J, et al. Wireless communications through reconfigurable intelligent surfaces [J]. IEEE access, 2019, 7: 116753–116773. DOI: 10.1109/ACCESS.2019.2935192 |
| 30 | LIU M B, LI X, NING B Y, et al. Deep learning-based channel estimation for double-RIS aided massive MIMO system [J]. IEEE wireless communications letters, 2023, 12(1): 70–74. DOI: 10.1109/LWC.2022.3217294 |
| 31 | LIU F, CUI Y H, MASOUROS C, et al. Integrated sensing and communications: toward dual-functional wireless networks for 6G and beyond [J]. IEEE journal on selected areas in communications, 2022, 40(6): 1728–1767. DOI: 10.1109/JSAC.2022.3156632 |
| 32 | WANG Z L, MU X D, LIU Y W. STARS enabled integrated sensing and communications [J]. IEEE transactions on wireless communications, 2023, 22(10): 6750–6765. DOI: 10.1109/TWC.2023.3245297 |
| 33 | AYACH O EL, RAJAGOPAL S, ABU-SURRA S, et al. Spatially sparse precoding in millimeter wave MIMO systems [J]. IEEE transactions on wireless communications, 2014, 13(3): 1499–1513. DOI: 10.1109/TWC.2014.011714.130846 |
| 34 | YOU L, LI K X, WANG J H, et al. Massive MIMO transmission for LEO satellite communications [J]. IEEE journal on selected areas in communications, 2020, 38(8): 1851–1865. DOI: 10.1109/JSAC.2020.3000803 |
| 35 | ZHU F H, WANG B H, YANG Z H, et al. Robust millimeter beamforming via self-supervised hybrid deep learning [C]//The 31st European Signal Processing Conference (EUSIPCO). IEEE, 2023: 915–919. DOI: 10.23919/EUSIPCO58844.2023.10289989 |
| 36 | WANG X Q, ZHU F H, ZHOU Q Y, et al. Energy-efficient beamforming for RISs-aided communications: gradient based meta learning [EB/OL]. (2023-11-12) [2023-12-10]. |
| 37 | AVILES J C, KOUKI A. Position-aided mm-wave beam training under NLOS conditions [J]. IEEE access, 2016, 4: 8703–8714. DOI: 10.1109/ACCESS.2016.2631222 |
| 38 | ALKHATEEB A, ALEX S, VARKEY P, et al. Deep learning coordinated beamforming for highly-mobile millimeter wave systems [J]. IEEE access, 2018, 6: 37328–37348. DOI: 10.1109/ACCESS.2018.2850226 |
| 39 | CHEN W, WANG Y J, YUAN Y. Combinatorial multi-armed bandit: general framework, results and applications [C]//International Conference on Machine Learning. ACM, 2013: 151–159. DOI: 10.5555/3042817.3042836 |
| 40 | ZHANG J J, HUANG Y M, WANG J H, et al. Intelligent interactive beam training for millimeter wave communications [J]. IEEE transactions on wireless communications, 2021, 20(3): 2034–2048. DOI: 10.1109/TWC.2020.3038787 |
| 41 | CUI M Y, DAI L L, WANG Z C, et al. Near-field rainbow: wideband beam training for XL-MIMO [J]. IEEE transactions on wireless communications, 2023, 22(6): 3899–3912. DOI: 10.1109/TWC.2022.3222198 |
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