Xiaoyu Liu

Orcid: 0000-0002-9525-6724

Affiliations:
  • Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China


According to our database1, Xiaoyu Liu authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Location-Based Downlink Transmission Scheme for IRS-Aided Integrated Satellite-Terrestrial Networks.
IEEE Trans. Commun., 2024

2023
On the performance of uplink NOMA-based satellite-aerial-terrestrial integrated networks.
Trans. Emerg. Telecommun. Technol., April, 2023

IRS-Aided Uplink Transmission Scheme in Integrated Satellite-Terrestrial Networks.
IEEE Trans. Veh. Technol., February, 2023

Low-Complexity Downlink Transmission with NOMA for IRS-Aided Integrated Satellite-Terrestrial Network.
Proceedings of the IEEE Global Communications Conference, 2023

2022
On the ergodic sum rate for multiuser satellite-aerial-terrestrial networks.
Phys. Commun., 2022

2021
Outage Performance for Optical Feeder Link in Satellite Communications With Diversity Combining.
IEEE Wirel. Commun. Lett., 2021

Transmit diversity and performance analysis for aeronautical broadband satellite communication systems.
Phys. Commun., 2021

Forward link outage performance of aeronautical broadband satellite communications.
Frontiers Inf. Technol. Electron. Eng., 2021

On the ergodic sum rate for multisource multidestination unmanned aerial vehicle relaying.
Trans. Emerg. Telecommun. Technol., 2021

2019
Performance analysis for multi-user integrated satellite and UAV cooperative networks.
Phys. Commun., 2019

A Bicycle-Borne Sensor Node for Monitoring Air Pollution Based on NB-IoT.
Proceedings of the Machine Learning and Intelligent Communications, 2019

On the Performance of Multiuser Dual-Hop Satellite Relaying.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Outage Performance of the Integrated Satellite-Terrestrial Network Based on the SNR Threshold.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019


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