Volume 31 Issue 3
May  2022
Turn off MathJax
Article Contents
GUO Rongbin, TANG Yajie, ZHANG Changming, LIU Shanyun, ZHAO Zhifeng. Prospects and Challenges of THz Precoding[J]. Chinese Journal of Electronics, 2022, 31(3): 488-498. doi: 10.1049/cje.2021.00.263
Citation: GUO Rongbin, TANG Yajie, ZHANG Changming, LIU Shanyun, ZHAO Zhifeng. Prospects and Challenges of THz Precoding[J]. Chinese Journal of Electronics, 2022, 31(3): 488-498. doi: 10.1049/cje.2021.00.263

Prospects and Challenges of THz Precoding

doi: 10.1049/cje.2021.00.263
Funds:  This work was supported in part by the National Key Research and Development Program of China (2021YFB2800800, 2020YFB1805700, 2018YFB1801500, 2018YFB2201700), Zhejiang Lab ( 2020LC0AA02, 2021LC0PI01, 2020LC0AD01), the National Natural Science Foundation of China (61771424), the Natural Science Foundation of Zhejiang Province (LQ21F010002, LZ18F010001), and the Key Research and Development Program of Zhejiang Province (2021C04006)
More Information
  • Author Bio:

    (corresponding author) received the B.S. degree in communication engineering from Southwest Jiaotong University, Chengdu, China, in 2013, and the Ph.D degree in communication and information systems from Zhejiang University, Hangzhou, China, in 2018. He is currently an Assistant Professor with the Intelligent Network Institute, Zhejiang Lab, Hangzhou, China. His research interests include terahertz communications, algorithm design for MIMO communication systems, and signal processing for wireless communications. (Email:rbguoisee@zju.edu.cn)

    received the B.S. degree from Beihang University, Beijing, China, in 2017, and the M.S. degree from the Delft University of Technology, Delft, the Netherlands, in 2020. She is currently working at the Intelligent Network Institute of Zhejiang Lab, Hangzhou, China. Her research interests include signal processing and algorithm design for communications

    received the B.S. degree from the Department of Electronic Information Science and Technology, Beijing Normal University, Beijing, China, in 2010, and the Ph.D. degree from the Department of Electronic Engineering, Tsinghua University, Beijing, in 2015. He is currently a research expert with the Intelligent Network Institute, Zhejiang Lab, Hangzhou, China. His research interests include millimeter wave and terahertz wireless communications, including hardware impairments compensation, spectral efficiency enhancement, and signal quality optimization

    received the B.S., M.S., and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2014, 2016 and 2020, respectively. He is currently an Assistant Professor with Research Center for Intelligent Computing Platform, Zhejiang Lab, Hangzhou, China. His current research interests include terahertz communications, integrated terrestrial-satellite communications, and information theory

    is the Chief Engineer of Zhejiang Lab. He received the Ph.D. degree in communication and information system from the PLA University of Science and Technology, Nanjing, China. He serves as a Member of the National “Broadband China Strategy”drafting expert group, a Member of the National Next Generation Radio and Television Network expert group, a Member of the State Radio and Television Administration’s Three Network Integration expert group, and the Chief Scientist of Zhejiang “Software Defined Network Technology and Application Innovation Team”. He is also the Vice President of IEEE VTS Society Nanjing Chapter. His research interests include broadband wireless networks, software-defined networks, swarm intelligence, mobile edge computing, and next-generation broadcast television networks. He has published more than 100 papers in journals, and applied for more than 30 patents

  • Received Date: 2021-07-30
  • Accepted Date: 2022-01-25
  • Available Online: 2022-02-19
  • Publish Date: 2022-05-05
  • Terahertz (THz) communications are considered as very promising for the sixth-generation (6G) ultra-dense wireless networks. However, THz signals suffer from well-known severe path loss, which consequently shortens the coverage of THz communication systems. To deal with this issue, precoding technique is expected to be beneficial to extend the limited coverage by providing directional beams with ultra large number of antenna arrays. In this paper, we overview the state-of-the-art developments of THz precoding techniques such as reconfigurable intelligent surface based precoding, hybrid digital-analog precoding and delay-phase precoding. Based on the survey, we summarize several open issues remaining to be addressed, and discuss the prospects of a few potential research directions on THz precoding, such as one-bit precoding, precoding for hardware impairments and THz security precoding. This overview will be helpful for researchers to study innovative solutions of THz precoding in the future 6G wireless communications.
  • loading
  • [1]
    H. Elayan, O. Amin, B. Shihada, et al., “Terahertz band: The last piece of RF spectrum puzzle for communication system,” IEEE Open Journal of the Communications Society, vol.1, pp.1–32, 2020.
    [2]
    T. S. Rappaport, Y. C Xing, O. Kanhere, et al., “Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond,” IEEE Access, vol.7, pp.78729–78757, 2019. doi: 10.1109/ACCESS.2019.2921522
    [3]
    C. Han, A. O. Bicen, and I. F. Akyildiz, “Multi-ray channel modeling and wideband characterization for wireless communications in the terahertz band,” IEEE Transactions on Wireless Communications, vol.14, no.5, pp.2402–2412, 2015. doi: 10.1109/TWC.2014.2386335
    [4]
    L. Zhang, X. Pang, S. Jia, et al., “Beyond 100 Gb/s optoelectronic terahertz communications: Key technologies and directions,” IEEE Commun. Mag., vol.58, no.11, pp.34–40, 2020. doi: 10.1109/MCOM.001.2000254
    [5]
    X. B Yu, R. Asif, M. Piels, et al., “400-GHz wireless transmission of 60-Gb/s Nyquist-QPSK signals using UTC-PD and heterodyne mixer,” IEEE Transactions on Terahertz Science and Technology, vol.6, no.6, pp.765–770, 2016. doi: 10.1109/TTHZ.2016.2599077
    [6]
    K. X Liu, S. Jia, S. W Wang, et al., “100 Gbit/s THz photonic wireless transmission in the 350-GHz band with extended reach,” IEEE Photonics Technology Letters, vol.30, no.11, pp.1064–1067, 2018. doi: 10.1109/LPT.2018.2830342
    [7]
    C. Jansen, S. Priebe, C. Moller, et al., “Diffuse scattering from rough surfaces in THz communication channels,” IEEE Transactions on Terahertz Science and Technology, vol.1, no.2, pp.462–472, 2011. doi: 10.1109/TTHZ.2011.2153610
    [8]
    C. Lin and G. Y. Li, “Indoor terahertz communications: How many antenna arrays are needed?,” IEEE Transactions on Wireless Communications, vol.14, no.6, pp.3097–3107, 2015. doi: 10.1109/TWC.2015.2401560
    [9]
    C. Han, J. M. Jornet, and I. F. Akyildiz, “Ultra-massive MIMO channel modeling for graphene-enabled terahertz-band communications,” 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, pp.1–5, 2018.
    [10]
    H. Sarieddeen, M. -S. Alouini, and T. Y. Al-Naffouri, “Terahertz-band ultra-massive spatial modulation MIMO,” IEEE Journal on Selected Areas in Communications, vol.37, no.9, pp.2040–2052, 2019. doi: 10.1109/JSAC.2019.2929455
    [11]
    H. Sarieddeen, N. Saeed, T. Y. Al-Naffouri, et al., “Next generation terahertz communications: A rendezvous of sensing, imaging, and localization,” IEEE Communications Magazine, vol.58, no.50, pp.69–75, 2020.
    [12]
    J. Tan and L. Dai, “Ultra-massive MIMO channel modeling for graphene-enabled terahertz-band communications,” arXiv preprint, arXiv: 2005.10752, 2020.
    [13]
    A. Moldovan, P. Karunakaran, and I. F. Akyildiz, “Coverage and achievable rate analysis for indoor terahertz wireless networks,” 2017 IEEE International Conference on Communications (ICC), Paris, France, pp.1–7, 2017.
    [14]
    X. Yao, C. Wan, and C. Qi, “Interference and coverage analysis for indoor THz communications with beamforming antennas,” IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), Changchun, China, pp.147–152, 2019.
    [15]
    Z. Lin, M. Lin, J. B. Wang, et al., “Joint beamforming and power allocation for satellite-terrestrial integrated networks with non-orthogonal multiple access,” IEEE Journal of Selected Topics in Signal Processing, vol.13, no.3, pp.657–670, 2019. doi: 10.1109/JSTSP.2019.2899731
    [16]
    S. Koenig, D. Lopez-Diaz, J. Antes, et al., “Wireless sub-THz communication system with high data rate,” Nature Photonics, vol.7, pp.977–981, 2013. doi: 10.1038/nphoton.2013.275
    [17]
    V. Petrov, A. Pyattaev, D. Moltchanov, et al., “Terahertz band communications: Applications, research challenges, and standardization activities,” 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Lisbon, Portugal, pp.83–190, 2016.
    [18]
    H. Sarieddeen, M. -S. Alouini, and T. Y. Al-Naffouri, “An overview of signal processing techniques for terahertz communications,” arXiv preprint, arXiv: 2005.13176, 2005.
    [19]
    V. Petrov, D. Moltchanov, J. M. Jornet, et al. “Exploiting multipath terahertz communications for physical layer security in beyond 5G networks,” IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France, pp.865–872, 2019.
    [20]
    J. M. Jornet and I. F. Akyildiz, “Channel modeling and capacity analysis for electromagnetic wireless nanonetworks in the terahertz Band,” IEEE Transactions on Wireless Communications, vol.10, no.10, pp.3211–3220, 2011. doi: 10.1109/TWC.2011.081011.100545
    [21]
    S. Priebe and T. Kurner, “Stochastic modeling of THz indoor radio channels,” IEEE Transactions on Wireless Communications, vol.12, no.9, pp.4445–4455, 2013. doi: 10.1109/TWC.2013.072313.121581
    [22]
    I. F. Akyildiz and J. M. Jornet, “Realizing ultra-massive MIMO (10241024) communication in the (0.06−10) terahertz band,” Nano Communication Networks, vol.8, pp.46–54, 2016. doi: 10.1016/j.nancom.2016.02.001
    [23]
    D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2014.
    [24]
    A. Faisal, H. Sarieddeen, H. Dahrouj, et al., “Ultra-massive MIMO systems at terahertz bands: Prospects and challenges,” arXiv preprint, arXiv: 1902.11090, 2019.
    [25]
    S. A. Busari, K. M. S. Huq, S. Mumtaz, et al., “Terahertz massive MIMO for beyond-5G wireless communication,” 2019 IEEE International Conference on Communications (ICC), Shanghai, China, pp.1–6, 2019.
    [26]
    J. Tan and L. Dai, “THz precoding for 6G: Applications, challenges, solutions, and opportunities,” arXiv preprint, arXiv: 2005.10752, 2020.
    [27]
    I. F. Akyildiz, J. M. Jornet, and C. Han, “Teranets: Ultra-broadband communication networks in the terahertz band,” IEEE Wireless Communication, vol.21, pp.130–135, 2014. doi: 10.1109/MWC.2014.6882305
    [28]
    C. Han and I. F. Akyildiz, “Distance-aware bandwidth-adaptive resource allocation for wireless systems in the terahertz band,” IEEE Transactions on Terahertz Science and Technology, vol.6, no.4, pp.541–553, 2016.
    [29]
    R. Méndez-Rial, C. Rusu, N. González-Prelcic, et al. “Hybrid MIMO architectures for millimeter wave communications: Phase shifters or switches?” IEEE Access, Vol.4, pp.247–267, 2016.
    [30]
    R. W. Heath, N. González-Prelcic, S. Rangan, et al., “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE Journal of Selected Topics in Signal Processing, vol.10, no.3, pp.436–453, 2016. doi: 10.1109/JSTSP.2016.2523924
    [31]
    M. Dai and B. Clerckx, “Hybrid precoding for physical layer multicasting,” IEEE Communication Letter, vol.20, no.2, pp.228–231, 2016. doi: 10.1109/LCOMM.2015.2503273
    [32]
    C. Lin and G. Li, “Terahertz communications: An array-of-subarrays solution,” IEEE Communication Magazine, vol.54, no.12, pp.124–131, 2016. doi: 10.1109/MCOM.2016.1600306CM
    [33]
    V. Venkateswaran and A. -J. van der Veen, “Analog beamforming in MIMO communications with phase shift networks and online channel estimation,” IEEE Transactions on Signal Processing, vol.58, no.8, pp.4131–4143, 2010. doi: 10.1109/TSP.2010.2048321
    [34]
    F. Sohrabi and W. Yu, “Hybrid digital and analog beamforming design for large-scale MIMO systems,” 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Queensland, pp.2929–2933, 2015.
    [35]
    L. Yan, C. Han, and J. Yuan, “A dynamic array of sub-array architecture for hybrid precoding in the millimeter wave and terahertz bands,” 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, pp.1–5, 2019.
    [36]
    L. Yan, C. Han, and J. Yuan, “A dynamic array-of-subarrays architecture and hybrid precoding algorithms for terahertz wireless communications,” IEEE Journal on Selected Areas in Communications, vol.38, no.9, pp.2041–2056, 2020. doi: 10.1109/JSAC.2020.3000876
    [37]
    M. Cai, J. N. Laneman, and B. Hochwald, “Beamforming codebook compensation for beam squint with channel capacity constraint,” 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, pp.76–80, 2017.
    [38]
    S. K. Garakoui, E. A. M. Klumperink, B. Nauta, et al., “Phased-array antenna beam squinting related to frequency dependency of delay circuits,” 2011 41st European Microwave Conf., Manchester, UK, pp.1304–1307, 2011.
    [39]
    J. Tan and L. Dai, “Delay-phase precoding for THz massive MIMO with beam split,” Proc. IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, pp.1–6, 2019.
    [40]
    J. Tan and L. Dai, “Wideband beam tracking in THz massive MIMO systems,” IEEE Journal on Selected Areas in Communications, vol.39, no.6, pp.1693–1710, 2021. doi: 10.1109/JSAC.2021.3071817
    [41]
    J. Tan and L. Dai, “Wideband channel estimation for THz massive MIMO,” China Communications, vol.18, no.5, pp.66–80, 2021. doi: 10.23919/JCC.2021.05.005
    [42]
    X. Liu and D. Qiao, “Space-time block coding-based beamforming for beam squint compensation,” IEEE Wireless Communications Letters, vol.8, no.1, pp.241–244, 2019. doi: 10.1109/LWC.2018.2868636
    [43]
    C. Lin and G.Y. Li, “Antenna subarray partitioning with interference cancellation for multi-user indoor terahertz communications,” 2015 IEEE Global Communications Conference (GLOBECOM), pp.1–6, 2015.
    [44]
    X. Gao, L. Dai, Y. Zhang, et al., “Fast channel tracking for terahertz beamspace massive MIMO systems,” IEEE Transactions on Vehicular Technology, vol.66, no.7, pp.5689–5696, 2016.
    [45]
    M. D. Renzo, M. Debbah, D. -T. Phan-Huy, et al., “Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come,” Eurasip Journal on Wireless Communications and Networking, vol.2019, no.1, pp.1–20, 2019. doi: 10.1186/s13638-018-1318-8
    [46]
    C. Liaskos, S. Nie, A. Tsioliaridou, et al., “A new wireless communication paradigm through software-controlled metasurfaces,” IEEE Communications Magazine,, vol.56, no.9, pp.162–169, 2018. doi: 10.1109/MCOM.2018.1700659
    [47]
    Q. Wu and R. Zhang, “Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless networ,” IEEE Communications Magazine, vol.58, no.1, pp.106–112, 2020. doi: 10.1109/MCOM.001.1900107
    [48]
    C. Huang, A. Zappone, G. C. Alexandropoulos, et al., “Reconfigurable intelligent surfaces for energy efficiency in wireless communication,” IEEE Transactions on Wireless Communications, vol.18, no.8, pp.4157–4170, 2019. doi: 10.1109/TWC.2019.2922609
    [49]
    Y. Han, W. Tang, S. Jin, et al., “Large intelligent surface-assisted wireless communication exploiting statistical CSI,” IEEE Transactions on Vehicular Technology, vol.68, no.8, pp.8238–8242, 2019. doi: 10.1109/TVT.2019.2923997
    [50]
    T. J. Cui, M. Q. Qi, X. Wan, et al., “Coding metamaterials, digital metamaterials and programmable metamaterials,” Light: Science and Applications, vol.3, article no.e218, 2014. doi: 10.1038/lsa.2014.99
    [51]
    T. J. Cui, S. Liu, and L. Zhang, et al., “Information metamaterials and metasurfaces,” Journal of Materials Chemistry C, vol.5, no.15, pp.3644–3668, 2017. doi: 10.1039/C7TC00548B
    [52]
    L. Zhang, X. Qing Chen, S. Liu, et al., “Space-time-coding digital metasurfaces,” Nature Communications, vol.9, no.1, pp.1–11, 2018. doi: 10.1038/s41467-017-02088-w
    [53]
    W. K. Tang, J. Dai, M. Z. Chen, et al. “Subject editor spotlight on programmable metasurfaces: The future of wireless?” Electronics Letters, Vol.55, No.7, pp.360–361, 2019.
    [54]
    L. Yan, C Han, and Q, Ding, “Hybrid Beamforming architectures of terahertz communications,” 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), Paris, France, pp.1–2, 2019.
    [55]
    S. Park, A. Alkhateeb and R. W. Heath, “Dynamic subarrays for hybrid precoding in wideband mmWave MIMO Systems,” IEEE Transactions on Wireless Communications, vol.16, no.5, pp.2907–2920, 2017. doi: 10.1109/TWC.2017.2671869
    [56]
    S. Han, C. I, Z. Xu, et al., “Large-scale antenna systems with hybrid analog and digital beamforming for millimeter wave 5G,” IEEE Communication Magazine, vol.53, no.1, pp.186–194, 2015. doi: 10.1109/MCOM.2015.7010533
    [57]
    O. E. Ayach, S. Rajagopal, S. Abu-Surra, et al., “Spatially sparse precoding in millimeter wave MIMO systems,” IEEE Transactions on Wireless Communications, vol.13, no.3, pp.1499–1513, 2014. doi: 10.1109/TWC.2014.011714.130846
    [58]
    X. Yu, J. Shen, J. Zhang, et al., “Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems,” IEEE Journal of Selected Topics in Signal Processing, vol.10, no.3, pp.485–500, 2016. doi: 10.1109/JSTSP.2016.2523903
    [59]
    H. Yuan, N. Yang, K. Yang, et al. “Hybrid beamforming for MIMO-OFDM Terahertz wireless systems over frequency selective channels,” IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, pp.1−6, 2018.
    [60]
    H. Yuan, N. Yang, K. Yang, et al., “Hybrid beamforming for Terahertz multi-carrier systems over frequency selective fading,” IEEE Transactions on Communications, vol.68, no.10, pp.6186–6199, 2020. doi: 10.1109/TCOMM.2020.3008699
    [61]
    S. Mumtaz, J. Rodriquez, and L. Dai, MmWave Massive MIMO: A Paradigm for 5G, Academic Press, Elsevier, 2016.
    [62]
    V. Boljanovic, H. Yan, E. Ghaderi, et al. “Design of millimeter-wave single-shot beam training for true-timedelay array,” IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, Georgia, USA, pp.1−5, 2020.
    [63]
    C. Lin, G. Y. Li, and L. Wang, “Subarray-based coordinated beamforming training for mmwave and sub-THz communications,” IEEE Journal on Selected Areas in Communications, vol.35, no.9, pp.2115–2126, 2017. doi: 10.1109/JSAC.2017.2720038
    [64]
    Y. Ghasempour, R. Shrestha, A. Charous, et al., “Single-shot link discovery for terahertz wireless networks,” Nature Communications, vol.11, no.1, pp.1–6, 2020. doi: 10.1038/s41467-019-13993-7
    [65]
    M. D. Renzo, K. Ntontin, J. Song, et al., “Reconfigurable intelligent surfaces vs. relaying: Differences, similarities, and performance comparison,” arXiv preprint, arXiv: 1908.08747, 2019.
    [66]
    Q. -U. -A Nadeem, A. Kammoun, A. Chaaban, et al., “Intelligent reflecting surface assisted wireless communication: Modeling and channel estimation,” arXiv preprint, arXiv: 1906.02360, 2019.
    [67]
    E. Basar, M. D. Renzo, J. de Rosny, et al., “Wireless communications through reconfigurable intelligent surfaces,” IEEE Access, vol.7, pp.116753–116773, 2019. doi: 10.1109/ACCESS.2019.2935192
    [68]
    E. Björnson and L. Sanguinetti, “Demystifying the power scaling law of intelligent reflecting surfaces and metasurfaces,” arXiv preprint, arXiv: 1908.03133, 2019.
    [69]
    C. Han and I. F. Akyildiz, “Three-dimensional end-to-end modeling and analysis for graphene-enabled terahertz band communications,” IEEE Transactions on Vehicular Technology, vol.66, no.7, pp.5626–5634, 2017. doi: 10.1109/TVT.2016.2614335
    [70]
    Q. -U. -A Nadeem, A. Kammoun, A. Chaaban, et al., “Asymptotic max-min sinr analysis of reconfigurable intelligent surface assisted miso systems,” IEEE Transactions on Wireless Communications, vol.19, no.12, pp.7748–7764, 2020. doi: 10.1109/TWC.2020.2986438
    [71]
    M. Jung, W. Saad, M. Debbah, et al. “On the optimality of reconfigurable intelligent surfaces (RISs): Passive beamforming, modulation, and resource allocation,” arXiv preprint, arXiv: 1910.00968, 2019.
    [72]
    Q. -U. -A. Nadeem, A. Chaaban, and M. Debbah, “Multi-user opportunistic beamforming using reconfigurable surfaces,” arXiv preprint, arXiv: 1912.07063, 2019.
    [73]
    S. Hu, K. Chitti, F. Rusek, et al. “User assignment with distributed large intelligent surface (LIS) systems,” Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, pp.1–6, 2018.
    [74]
    M. Jung, W. Saad, Y. Jang, et al., “Performance analysis of large intelligent surfaces (LISs): Asymptotic data rate and channel hardening effects,” IEEE Transactions Communication, vol.19, no.3, pp.2052–2065, 2020.
    [75]
    Ö. Özdogan, E. Björnson, and E. G. Larsson, “Intelligent reflecting surfaces: Physics, propagation, and pathloss modeling,” IEEE Communication Letters, vol.9, no.5, pp.581–585, 2019.
    [76]
    E. Björnson, Ö. Özdogan, and E. G. Larsson, “Intelligent reflecting surface vs. decode-and-forward: How large surfaces are needed to beat relaying?,” IEEE Wireless Communication Letters, vol.9, no.2, pp.244–248, 2019.
    [77]
    M. A. Kishk and M. -S. Alouini, “Exploiting randomly-located blockages for large-scale deployment of intelligent surfaces,” arXiv preprint, arXiv: 2001.10766, 2020.
    [78]
    X. Y. Ma, Zhi. Chen, W. J. Chen, et al., “Intelligent reflecting surface enhanced indoor terahertz communication systems,” Nano Communication Networks, vol.24, article no.100284, 2020.
    [79]
    Ö. Özdogan, E. Björnson, and E. G. Larsson, “Using intelligent reflecting surfaces for rank improvement in MIMO communications,” arXiv preprint, arXiv: 2002.02182, 2020.
    [80]
    B. Ning, Z. Chen, W. Chen, et al. “Channel estimation and hybrid beamforming for reconfigurable intelligent surfaces assisted THz communications,” arXiv preprint, arXiv: 1912.11662, 2019.
    [81]
    A. C. Tasolamprou, A. Pitilakis, S. Abadal, et al., “Exploration of intercell wireless millimeter-wave communication in the landscape of intelligent metasurfaces,” IEEE Access, vol.7, pp.122931–122948, 2019. doi: 10.1109/ACCESS.2019.2933355
    [82]
    S. Abeywickrama, R. Zhang, Q. Wu, et al., “Intelligent reflecting surface: Practical phase shift model and beamforming optimization,” IEEE Transactions on Communications, vol.68, no.9, pp.5849–5863, 2020. doi: 10.1109/TCOMM.2020.3001125
    [83]
    P. Wang, J. Fang, H. Duan, et al., “Compressed channel estimation for intelligent reflecting surface-assisted millimeter wave systems,” IEEE Signal Processing Letters, vol.27, pp.905–909, 2020. doi: 10.1109/LSP.2020.2998357
    [84]
    J. He, M. Leinonen, H. Wymeersch, et al., “Channel estimation for RIS-aided mmWave MIMO channels,” in Proc. of IEEE Global Communications Conference, Taipei, China, pp.1−6, 2020.
    [85]
    J. He, H. Wymeersch, and M. Juntti, “Channel estimation for RIS-aided mmWave MIMO systems via atomic norm minimization,” IEEE Transactions on Wireless Communications, vol.20, no.9, pp.5786–5797, 2021.
    [86]
    K. Ardah, S. Gherekhloo, A. L. F. de Almeida, et al., “TRICE: An efficient channel estimation framework for RIS-aided MIMO communications,” IEEE Signal Processing Letters, vol.28, pp.513–517, 2021. doi: 10.1109/LSP.2021.3059363
    [87]
    R. Schroeder, J. He, and M. Juntti, “Passive RIS vs. hybrid RIS: A comparative study on channel estimation,” 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), Helsinki, Finland, DOI: 10.1109/VTC2021-Spring51267.2021.9448802, 2020.
    [88]
    L. Wei, C. Huang, G. C. Alexandropoulos, et al., “Channel estimation for RIS-empowered multi-user MISO wireless communications,” IEEE Transactions on Communications, article no.1, 2021.
    [89]
    X. Y. Ma, Z. Chen, W. J. Chen, et al., “Joint channel estimation and data rate maximization for intelligent reflecting surface assisted terahertz mimo communication systems,” IEEE Access, vol.8, pp.99565–99581, 2020. doi: 10.1109/ACCESS.2020.2994100
    [90]
    Z. Li, Z. Chen, X. Ma, et al. “Channel estimation for intelligent reflecting surface enabled terahertz mimo systems: A deep learning perspective,” IEEE International Conference on Communications Workshops (ICC Workshops), Chongqing, China, pp.75−79, 2020.
    [91]
    Q. Wu and R. Zhang, “Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,” IEEE Transactions on Wireless Communications, vol.18, no.11, pp.5394–5409, 2019. doi: 10.1109/TWC.2019.2936025
    [92]
    K. Ying, Z. Gao, S. Lyu, et al., “GMD-based hybrid beamforming for large reconfigurable intelligent surface assisted millimeter-wave massive MIMO,” IEEE Access, vol.8, pp.19530–19539, 2020. doi: 10.1109/ACCESS.2020.2968456
    [93]
    C. Chaccour, M. N. Soorki, W. Saad, et al. “Risk-based optimization of virtual reality over terahertz reconfigurable intelligent surfaces,” arXiv preprint, arXiv: 2002.09052, 2020.
    [94]
    J. Qiao and M. -S. Alouini, “Secure transmission for intelligent reflecting surface-assisted mmWave and terahertz systems,” IEEE Wireless Communications Letters, vol.9, no.10, pp.1743–1747, 2020. doi: 10.1109/LWC.2020.3003400
    [95]
    O. Orhan, E. Erkip, and S. Rangan, “Low power analog-to-digital conversion in millimeter wave systems: Impact of resolution and bandwidth on performance,” 2015 Information Theory and Applications Workshop (ITA), San Diego, California, pp.191–198, 2015.
    [96]
    S. Jacobsson, G. Durisi, M. Coldrey, et al., “Quantized precoding for massive MU-MIMO,” IEEE Transactions on Communicatoins, vol.65, no.11, pp.4670–4684, 2017. doi: 10.1109/TCOMM.2017.2723000
    [97]
    D. Li, D. Qiao, L. Zhang, et al., “Performance analysis of indoor THz communications with one-bit precoding,” 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, pp.1–7, 2018.
    [98]
    P. Neuhaus, M. Dörpinghaus, H. Halbauer, et al., “Sub-THz wideband system employing 1-bit quantization and temporal oversampling,” IEEE International Conference on Communications, Virtual Conference, pp.1–7, 2020.
    [99]
    J. Ma, R. Shrestha, J. Adelberg, et al., “Security and eavesdropping in terahertz wireless links,” Nature, vol.563, no.7729, pp.89–93, 2018. doi: 10.1038/s41586-018-0609-x
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)

    Article Metrics

    Article views (1311) PDF downloads(21) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return