2022
DOI: 10.1109/access.2022.3216897
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Manifold Learning Inspired Dynamic Hybrid Precoding With Antenna Partitioning Algorithm for Dual-Hop Hybrid FSO-RF Systems

Abstract: The decode-and-forward (DF) based free-space optical-radio frequency (FSO-RF) hybrid system combines the advantages of both FSO links and RF links, which makes the system easy to be deployed and enables the extended transmission coverage. In the case of multiple users, the unreasonable dynamic antenna selection algorithm will lead to multi-user interference (MUI) and reduce the spectral efficiency of the system. Therefore, we propose hybrid precoding based on manifold learning with the antenna partitioning alg… Show more

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Cited by 3 publications
(1 citation statement)
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“…With the increasing demand for faster data rates along with the integration of a wide range of devices into the network, it is necessary to explore new paradigms of wireless communication. Homogeneous physical layer communication, such as radio frequency (RF), laser and optical fiber, are morphing into a hybrid combination to improve the service provided to a large variety of devices [1][2][3]. A novel downlink satellite communication (SatCom) model was introduced to improve the system performance, in which free space optical (FSO) communication was adopted between a satellite and a high-altitude platform station (HAPS) node [4].…”
Section: Introductionmentioning
confidence: 99%
“…With the increasing demand for faster data rates along with the integration of a wide range of devices into the network, it is necessary to explore new paradigms of wireless communication. Homogeneous physical layer communication, such as radio frequency (RF), laser and optical fiber, are morphing into a hybrid combination to improve the service provided to a large variety of devices [1][2][3]. A novel downlink satellite communication (SatCom) model was introduced to improve the system performance, in which free space optical (FSO) communication was adopted between a satellite and a high-altitude platform station (HAPS) node [4].…”
Section: Introductionmentioning
confidence: 99%