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SCIENCE CHINA Information Sciences, Volume 63, Issue 8: 183301(2020) https://doi.org/10.1007/s11432-019-2789-y

Potential key technologies for 6G mobile communications

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  • ReceivedSep 30, 2019
  • AcceptedFeb 4, 2020
  • PublishedMay 18, 2020

Abstract

The standard development of 5G wireless communication culminated between 2017 and 2019, followed by the worldwide deployment of 5G networks, which is expected to result in very high data rate for enhanced mobile broadband, support ultrareliable and low-latency services and accommodate massive number of connections. Research attention is shifting to future generation of wireless communications, for instance, beyond 5G or 6G. Unlike previous studies, which discussed the use cases, deployment scenarios, or new network architectures of 6G in depth, this paper focuses on a few potential technologies for 6G wireless communications, all of which represent certain fundamental breakthrough at the physical layer — technical hardcore of any new generation of wireless communications. Some of them, such as holographic radio, terahertz communication, large intelligent surface, and orbital angular momentum, are of revolutionary nature and many related studies are still at their scientific exploration stage. Several technical areas, such as advanced channel coding/modulation, visible light communication, and advanced duplex, while having been studied, may find more opportunities in 6G.


References

[1] Cao X, Yang P, Alzenad M, Xi X, Wu D, and Yanikomeroglu H. Airborne communication network: a survey. IEEE Journal on Sel Areas in Commun, 2018, 36: 1907--1926. Google Scholar

[2] International Telecommunications Union (ITU). Focus group on technologies for Network 2030. 2019. https://www.itu.int/en/IUT-T/focusgroups/net2030/. Google Scholar

[3] Pouttu A. 6Genesis-Taking the first steps towards 6G. In: Proceedings of IEEE Conference Standards Communications and Networking, 2018. Google Scholar

[4] Rosenworcel. Talks up to 6G. 2018. https://www.multichannel.com/news/ fccs-rosenworcel-talks-up-6g. Google Scholar

[5] Miao W. We are studying 6G. 2018. http://www.srrc.org.cn/article20461.aspx. Google Scholar

[6] Zhao Y, Yu G, Xu H. 6G mobile communication network: vision, challenges and key technologies (in Chinese). Sci Sin Inform, http: //engine.scichina.com/doi/10.1360/N112019-00033. Google Scholar

[7] Zong B, et al. 6G technologies. IEEE Veh Tech Mag, 2019, 14: 18--27. Google Scholar

[8] Strinati E C, Barbarossa S, Gonzalez-Jimenez J L, et al. 6G: the next frontier. 2019,. arXiv Google Scholar

[9] Saad W, Bennis M, Chen M. A vision of 6G wireless systems: applications, trends, technologies, and open research problems. 2019,. arXiv Google Scholar

[10] David K, Berndt H. 6G Vision and Requirements: Is There Any Need for Beyond 5G?. IEEE Veh Technol Mag, 2018, 13: 72-80 CrossRef Google Scholar

[11] Zong B, Zhao X, Wang J, et al. Photonics defined radio: a new paradigm for future mobile communication of B5G/6G. In: Proceedings of the 6th International Conference Photonics, Optics and Laser Technology, 2018. Google Scholar

[12] Key Drivers and Research Challenges for 6G Ubiquitous Wireless Intelligence. 6G Research Visions 1, http://jultika.oulu.fi/Record/isbn978-952-62-2354-4. Google Scholar

[13] Goodman J W. Introduction to Fourier Optics. New York: McGraw Hill, 1968. Google Scholar

[14] Konkol M R, Ross D D, Shi S, et al. High-power photodiode-integrated-connected arrary antenna. J Lightw Technol, 2017, 35: 200--2016. Google Scholar

[15] Murata H, Kohmu N, Wijayanto Y N, et al. Integration of patch antenna on optical modulators. IEEE Photonic Soc Newslett, 2014, 28: 4--7. Google Scholar

[16] Xu B, Qi W, Zhao Y, et al. Holographic radio interferometry for target tracking in dense multipath indoor environments. In: Proceedings of 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, 2017. 1--6. Google Scholar

[17] Haug F J, Br?uninger M, Ballif C. Fourier light scattering model for treating textures deeper than the wavelength. Opt Express, 2017, 25: A14-14 CrossRef PubMed ADS Google Scholar

[18] Barber Z W, Harrington C, Krishna Mohan R. Spatial-spectral holographic real-time correlative optical processor with >100??Gb/s throughput.. Appl Opt, 2017, 56: 5398-5406 CrossRef PubMed ADS Google Scholar

[19] Prucnal P R, Shastri B J. Neuromorphic Photonics. Boca Raton: CRC, 2017. Google Scholar

[20] Ghafoor S, Boujnah N, Rehmani M H, et al. MAC protocols for Terahertz communication: a comprehensive survey,. arXiv Google Scholar

[21] Petrov V, Pyattaev A, Moltchanov D, et al. Terahertz band communications: Applications, research challenges, and standardization activities. In: Proceedings of 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Lisbon, 2016. 183--190. Google Scholar

[22] Huo Y, Dong X, Xu W. Enabling Multi-Functional 5G and Beyond User Equipment: A Survey and Tutorial. IEEE Access, 2019, 7: 116975-117008 CrossRef Google Scholar

[23] Wells J. Faster than fiber: the future of multi-G/s wireless. IEEE Microw Mag, 2009, 10: 104--112. Google Scholar

[24] Rappaport T S, Xing Y, Kanhere O. Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond. IEEE Access, 2019, 7: 78729-78757 CrossRef Google Scholar

[25] Nagatsuma T, Ducournau G, Renaud C C. Advances in terahertz communications accelerated by photonics. Nat Photon, 2016, 10: 371-379 CrossRef ADS Google Scholar

[26] Mittendorff M, Li S, Murphy T E. Graphene-Based Waveguide-Integrated Terahertz Modulator. ACS Photonics, 2017, 4: 316-321 CrossRef Google Scholar

[27] Jornet J M, Akyildiz I F. Graphene-based Plasmonic Nano-Antenna for Terahertz Band Communication in Nanonetworks. IEEE J Sel Areas Commun, 2013, 31: 685-694 CrossRef Google Scholar

[28] Ali M, Pérez-Escudero J M, Guzmán-Martínez R C. 300 GHz Optoelectronic Transmitter Combining Integrated Photonics and Electronic Multipliers for Wireless Communication. Photonics, 2019, 6: 35 CrossRef Google Scholar

[29] Kurner T. Turning THz communications into reality: status on technology: standardization and regulation. In: Proceedings of 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Nagoya, 2018. 1--3. Google Scholar

[30] Renzo M D, Debbah M, Phan-Huy D T. Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come. J Wireless Com Network, 2019, 2019(1): 129 CrossRef Google Scholar

[31] Hu S, Rusek F, Edfors O. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces. IEEE Trans Signal Process, 2018, 66: 2746-2758 CrossRef ADS arXiv Google Scholar

[32] Ourrat-Ul-Ain N, Abla K, Anas C, et al. Asymptotic analysis of large intelligent surface assisted MIMO communication. 2019,. arXiv Google Scholar

[33] Hu S, Rusek R, Edfors O. The potential of using large antenna arrays on intelligent surfaces. In: Proceedings of IEEE 85th Vehicular Technology Conference, 2017. 1--6. Google Scholar

[34] Ntontin K, Di Renzo M, Song J, et al. Reconfigurable intelligent surfaces vs. relaying: differences, similarities and performance comparison. 2019,. arXiv Google Scholar

[35] Liaskos C, Nie S, Tsioliaridou A, et al. A new wireless communication paradiagm through software-controlled metasurfaces. IEEE Commun Mag, 2018, 56: 162--169. Google Scholar

[36] Taha A, Alrabeiah M, Alkhateeb A. Enabling large intelligent surfaces with compressive sensing and deep learning. 2019,. arXiv Google Scholar

[37] Thidé B, Then H, Sj?holm J. Utilization of Photon Orbital Angular Momentum in the Low-Frequency Radio Domain. Phys Rev Lett, 2007, 99: 087701 CrossRef PubMed ADS arXiv Google Scholar

[38] Zheng S L, Zhang Z F, Pan Y, et al. Plane spiral orbital angular momentum electromagnetic wave. In: Proceedings of IEEE Asia-Pacific Microwave Conference (APMC), Nanjing, 2015. Google Scholar

[39] Lee D, Sasaki H, Fukumoto H, et al. An experiment of 100 Gbps wireless transmission using OAM-MIMO multiplexing in 28 GHz. In: Proceedings of IEEE Global Communications Conference, 2018. Google Scholar

[40] Ren Y, Li L, Xie G. Line-of-Sight Millimeter-Wave Communications Using Orbital Angular Momentum Multiplexing Combined With Conventional Spatial Multiplexing. IEEE Trans Wireless Commun, 2017, 16: 3151-3161 CrossRef Google Scholar

[41] Yao A M, Padgett M J. Orbital angular momentum: origins, behavior and applications. Adv Opt Photon, 2011, 3: 161-204 CrossRef ADS Google Scholar

[42] Zhang C, Ma L. Detecting the Orbital Angular Momentum of Electro-Magnetic Waves Using Virtual Rotational Antenna. Sci Rep, 2017, 7: 4585 CrossRef PubMed ADS Google Scholar

[43] Edfors O, Johansson A J. Is Orbital Angular Momentum (OAM) Based Radio Communication an Unexploited Area?. IEEE Trans Antennas Propagat, 2012, 60: 1126-1131 CrossRef ADS Google Scholar

[44] Oldoni M, Spinello F, Mari E. Space-Division Demultiplexing in Orbital-Angular-Momentum-Based MIMO Radio Systems. IEEE Trans Antennas Propagat, 2015, 63: 4582-4587 CrossRef ADS Google Scholar

[45] Hui X, Zheng S, Chen Y. Multiplexed Millimeter Wave Communication with Dual Orbital Angular Momentum (OAM) Mode Antennas. Sci Rep, 2015, 5: 10148 CrossRef PubMed ADS Google Scholar

[46] Niemiec R, Brousseau C, et al. Characterization of an OAM antenna using a flat phase plate in the millimeter frequency band. In: Proceedings of IEEE European Conference on Antennas & Propagation, 2014. Google Scholar

[47] Zhang Y, Peng K, Chen Z. Construction of Rate-Compatible Raptor-Like Quasi-Cyclic LDPC Code With Edge Classification for IDMA Based Random Access. IEEE Access, 2019, 7: 30818-30830 CrossRef Google Scholar

[48] Davey M C, MacKay D. Low-density parity check codes over GF(q). IEEE Commun Lett, 1998, 2: 165-167 CrossRef Google Scholar

[49] Sommer N, Feder M, Shalvi O. Low-Density Lattice Codes. IEEE Trans Inform Theor, 2008, 54: 1561-1585 CrossRef Google Scholar

[50] Perry J. Spinal codes. In: Proceedings of ACM Sigcomm Conference on Applications, 2012. 49--60. Google Scholar

[51] Rusek F. Partial response and faster-than-nyquist signaling. Department of Electrical and Information Technology, Lund University, 2007. Google Scholar

[52] TR 38.812. Study on non-orthogonal multiple access (NOMA) for NR. Google Scholar

[53] Meng X M, Wu Y Q, Chen Y, et al. Low complexity receiver for uplink SCMA system via expectation propagation. 2017,. arXiv Google Scholar

[54] Yuan Y. 5G non-orthogonal multiple access study. IEEE Wirel Commun, 2018. 6--8. Google Scholar

[55] 2017, 10. Google Scholar

[56] Tsai C-T, Cheng C-H, Kuo H-C, et al. Toward high-speed visible laser lighting based optical wireless communications. Progress in Quantum Electronics, 2019, 67. Google Scholar

[57] Cohen K, Nedic A, Srikant R. Distributed learning algorithms for spectrum sharing in spatial random access networks. In: Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2015. Google Scholar

[58] Bhattarai S, Park J M, Gao B, et al. An overview of dynamic spectrum sharing: ongoing initiatives, challenges, and a roadmap for future research. IEEE Trans Cogn Commun Netw, 2017, 2: 110--128. Google Scholar

[59] Romero D, Leus G. Wideband Spectrum Sensing From Compressed Measurements Using Spectral Prior Information. IEEE Trans Signal Process, 2013, 61: 6232-6246 CrossRef ADS Google Scholar

[60] RP-182864. Revised WID on cross link interference (CLI) handling and remote interference management (RIM) for NR, LG Electronics, RAN#82, Sorrento, Italy, 2018. Google Scholar

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