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dc.contributor.authorLiao, Anwen
dc.contributor.authorGao, Zhen
dc.contributor.authorWang, Dongming
dc.contributor.authorWang, Hua
dc.contributor.authorYin, Hao
dc.contributor.authorNg, Derrick Wing Kwan
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-04-26T07:16:06Z
dc.date.available2021-03-10T06:51:10Z
dc.date.available2021-04-26T07:16:06Z
dc.date.issued2021
dc.identifier.citationLiao, A., Gao, Z., Wang, D., Wang, H., Yin, H., Ng, D. W. K., & Alouini, M.-S. (2021). Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks. IEEE Journal on Selected Areas in Communications, 1–1. doi:10.1109/jsac.2021.3071834
dc.identifier.issn1558-0008
dc.identifier.issn0733-8716
dc.identifier.doi10.1109/JSAC.2021.3071834
dc.identifier.urihttp://hdl.handle.net/10754/668030
dc.description.abstractThe emerging space-air-ground integrated network has attracted intensive research and necessitates reliable and efficient aeronautical communications. This paper investigates terahertz Ultra-Massive (UM)-MIMO-based aeronautical communications and proposes an effective channel estimation and tracking scheme, which can solve the performance degradation problem caused by the unique triple delay-beam-Doppler squint effects of aeronautical terahertz UM-MIMO channels. Specifically, based on the rough angle estimates acquired from navigation information, an initial aeronautical link is established, where the delay-beam squint at transceiver can be significantly mitigated by employing a Grouping True-Time Delay Unit (GTTDU) module (e.g., the designed Rotman lens-based GTTDU module). According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint. Doppler shifts can be subsequently estimated using the proposed prior-aided iterative Doppler shift estimation algorithm. On this basis, path delays and channel gains can be estimated accurately, where the Doppler squint can be effectively attenuated via compensation process. For data transmission, a data-aided decision-directed based channel tracking algorithm is developed to track the beam-aligned effective channels. When the data-aided channel tracking is invalid, angles will be re-estimated at the pilot-aided channel tracking stage with an equivalent sparse digital array, where angle ambiguity can be resolved based on the previously estimated angles. The simulation results and the derived Cramér-Rao lower bounds verify the effectiveness of our solution.
dc.description.sponsorshipThe work of Z. Gao was supported by the Beijing Municipal Natural Science Foundation under Grant L182024, National Natural Science Foundation of China under Grant 62071044, the Young Elite Scientists Sponsorship Program by CAST under no. YESS20180270, and the Talent Innovation Project of BIT. The work of H. Wang was supported in part by the National Key R&D Program of China under Grant 2020YFB1807900. The work of D. Wang was supported in part by the National Key Research and Development Program under Grant 2020YFB1807200. The work of D. W. K. Ng was supported in part by funding from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross disciplinary fund scheme and by the Australian Research Council’s Discovery Project (DP210102169).
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9398858/
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleTerahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalIEEE Journal on Selected Areas in Communications
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.
dc.contributor.institutionSchool of Information and Electronics, Beijing Institute of Technology (BIT), Beijing 100081, China, and Advanced Research Institute of Multidisciplinary Science, BIT, Beijing 100081, China. (e-mail: gaozhen16@bit.edu.cn)
dc.contributor.institutionNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
dc.contributor.institutionInstitute of China Electronic System Engineering Corporation, Beijing 100141, China.
dc.contributor.institutionSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia.
dc.identifier.pages1-1
dc.identifier.arxivid2103.01829
kaust.personAlouini, Mohamed-Slim
dc.identifier.eid2-s2.0-85104187381
refterms.dateFOA2021-03-10T06:52:03Z


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