Xin Hu

Orcid: 0000-0002-5338-5464

Affiliations:
  • Beijing University of Posts and Telecommunications, School of Electronic Engineering, China


According to our database1, Xin Hu authored at least 39 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Computationally Stable Low Sampling Rate Digital Predistortion for Non-Terrestrial Networks.
IEEE Trans. Broadcast., March, 2024

2023
Dynamic Power Allocation in High Throughput Satellite Communications: A Two-Stage Advanced Heuristic Learning Approach.
IEEE Trans. Veh. Technol., March, 2023

2022
Convolutional Neural Network for Behavioral Modeling and Predistortion of Wideband Power Amplifiers.
IEEE Trans. Neural Networks Learn. Syst., 2022

Inertial Sensing Meets Machine Learning: Opportunity or Challenge?
IEEE Trans. Intell. Transp. Syst., 2022

Low Computational Complexity Digital Predistortion Based on Convolutional Neural Network for Wideband Power Amplifiers.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A Joint PAPR Reduction and Digital Predistortion Based on Real-Valued Neural Networks for OFDM Systems.
IEEE Trans. Broadcast., 2022

Dynamic Beam Hopping for DVB-S2X GEO Satellite: A DRL-Powered GA Approach.
IEEE Commun. Lett., 2022

Dynamic Resource Allocation for Beam Hopping Satellites Communication System: An Exploration.
Proceedings of the IEEE International Conference on Trust, 2022

Adaptive Beam Pattern Selection and Resource Allocation for NOMA-Based LEO Satellite Systems.
Proceedings of the IEEE Global Communications Conference, 2022

2021
A Novel PAPR Reduction Scheme for OFDM Systems Based on Neural Networks.
Wirel. Commun. Mob. Comput., 2021

Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation.
IEEE Internet Things J., 2021

Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning.
Comput. Networks, 2021

Joint Power and Bandwidth Allocation for Internet of Vehicles Based on Proximal Policy Optimization Algorithm.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Cell Load and Resource-aware Flow Shifting Scheme based on Heterogeneous Mobile Networks Data.
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2021

Deep Reinforcement Learning for Dynamic Bandwidth Allocation in Multi-Beam Satellite Systems.
Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020
Low-Complexity PAPR Reduction Method for OFDM Systems Based on Real-Valued Neural Networks.
IEEE Wirel. Commun. Lett., 2020

Multi-Agent Deep Reinforcement Learning-Based Flexible Satellite Payload for Mobile Terminals.
IEEE Trans. Veh. Technol., 2020

Low-Feedback Sampling Rate Digital Predistortion Using Deep Neural Network for Wideband Wireless Transmitters.
IEEE Trans. Commun., 2020

Dynamic Beam Hopping Method Based on Multi-Objective Deep Reinforcement Learning for Next Generation Satellite Broadband Systems.
IEEE Trans. Broadcast., 2020

Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization.
IEEE Internet Things J., 2020

Distributed Intelligence: A Verification for Multi-Agent DRL-Based Multibeam Satellite Resource Allocation.
IEEE Commun. Lett., 2020

Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?
CoRR, 2020

Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation.
CoRR, 2020

Resource Scheduling Algorithm on Mobile P2P Distribution Networks.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Dynamic Beam Hopping of Multi-beam Satellite Based on Genetic Algorithm.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Optimum Power Allocation based on Traffic Matching Service for Multi-beam Satellite System.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
Exploiting low complex digital predistortion to improve wideband nonlinear satellite downlinks.
Int. J. Satell. Commun. Netw., 2019

Deep reinforcement learning-based beam Hopping algorithm in multibeam satellite systems.
IET Commun., 2019

Predistortion With Low Feedback Sampling Rate for Wideband Nonlinear Satellite Downlinks.
IEEE Commun. Lett., 2019

A Novel Single Feedback Architecture With Time-Interleaved Sampling for Multi-Band DPD.
IEEE Commun. Lett., 2019

Multi-band Digital Predistortion in IoT System with Co-prime Sampling Technique.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018
Velocity-aware handover prediction in LEO satellite communication networks.
Int. J. Satell. Commun. Netw., 2018

Distributed Caching Based on Matching Game in LEO Satellite Constellation Networks.
IEEE Commun. Lett., 2018

A Deep Reinforcement Learning-Based Framework for Dynamic Resource Allocation in Multibeam Satellite Systems.
IEEE Commun. Lett., 2018

Deep Reinforcement Learning Based Dynamic Channel Allocation Algorithm in Multibeam Satellite Systems.
IEEE Access, 2018

2017
Adaptive Interference Mitigation from IMT-2020 BS to Mobile-Satellite Service.
Proceedings of the Space Information Networks - Second International Conference, 2017

Frequency Sharing of IMT-2020 and Mobile Satellite Service in 45.5-47 GHz.
Proceedings of the Space Information Networks - Second International Conference, 2017

Interference analysis of the integrated satellite-terrestrial networks in the composite fading channel.
Proceedings of the 9th International Conference on Advanced Infocomm Technology, 2017

The Method of Compressed Sensing for TWTA Linearization.
Proceedings of the Communications, Signal Processing, and Systems, 2017


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