Joint Hybrid 3D Beamforming Relying on Sensor-Based Training for Reconfigurable Intelligent Surface Aided TeraHertz-Based Multiuser Massive MIMO Systems-Reference-Cited by-同舟云学术

Joint Hybrid 3D Beamforming Relying on Sensor-Based Training for Reconfigurable Intelligent Surface Aided TeraHertz-Based Multiuser Massive MIMO Systems

Published:2022-07-15 Issue:14 Volume:22 Page:14540-14552
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Xufang¹^ORCID,Lin Zihuai²^ORCID,Lin Feng³^ORCID,Hanzo Lajos⁴^ORCID

Affiliation:

1. Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China

2. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, Australia

3. Kongtronics Institute of Science and Technology (Xiamen) Company Ltd., Xiamen, China

4. School of Electronics and Computer Science, University of Southampton, Southampton, U.K.

Funder

Fujian Provincial Department of Science and Technology Project

Engineering and Physical Sciences Research Council throughCOALESCE

European Research Council’s Advanced Fellow Grant QuantCom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9829891/09801544.pdf?arnumber=9801544

Reference36 articles.

1. Numerical Investigation of an UWB Localization Technique for Unmanned Aerial Vehicles in Outdoor Scenarios

2. LOS and NLOS channel modeling for terahertz wireless communication with scattered rays

3. Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

4. Adaptive Beamforming With Resource Allocation for Distance-Aware Multi-User Indoor Terahertz Communications

5. Subarray-Based Coordinated Beamforming Training for mmWave and Sub-THz Communications

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