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Fast Terahertz Beam Training Via Frequency-dependent Precoding

Cited 4 time in Web of Science Cited 5 time in Scopus
Authors

Park, Jungjae; Kim, Seungnyun; Moon, Jihoon; Shim, Byonghyo

Issue Date
2022-05
Publisher
IEEE
Citation
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), pp.1153-1158
Abstract
Terahertz (THz) communications in the 0.1-10 THz band are envisaged as an attractive way to attain richer spectrum resources and surmount the bandwidth desert. To overcome the severe propagation loss suffered in THz communications and thus achieve high beamforming gain, massive multiple-input multiple-output (MIMO) technique has received much attention. To realize highly directional communications, beam training procedure is indispensable but the beam training schemes designed for narrowband systems result in severe performance loss caused by the wideband beam squint effect. To address this problem, we propose a beam training scheme using frequencydependent RF precoder. Specifically, we analyze the optimal phase shifts to obtain the frequency-dependent RF precoder and then propose a hierarchical beam training scheme using the frequency-dependent RF precoder. Numerical results including the achievable sum-rate and the beamforming gain are presented to demonstrate the effectiveness of the proposed scheme.
ISSN
2164-7038
URI
https://hdl.handle.net/10371/185789
DOI
https://doi.org/10.1109/ICCWorkshops53468.2022.9814478
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