Xinli Geng

According to our database1, Xinli Geng authored at least 13 papers between 2014 and 2023.

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

Timeline

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Links

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Bibliography

2023
Modeling User Transfer During Dynamic Carrier Shutdown in Green 5G Networks.
IEEE Trans. Wirel. Commun., August, 2023

Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2023

2022
A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning.
IEEE Commun. Surv. Tutorials, 2022

Machine Learning and Analytical Power Consumption Models for 5G Base Stations.
IEEE Commun. Mag., 2022

Spatial and Spectral Resource Allocation for Energy-Efficient Massive MIMO 5G Networks.
Proceedings of the IEEE International Conference on Communications, 2022

2021
A Survey on 5G Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning.
CoRR, 2021

Forecasting Mobile Traffic to Achieve Greener 5G Networks: When Machine Learning is Key.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

A Zeroth-Order Continuation Method for Antenna Tuning in Wireless Networks.
Proceedings of the ICC 2021, 2021

Mobile Traffic Forecasting for Green 5G Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Energy Efficiency of Multi-Carrier Massive MIMO Networks: Massive MIMO Meets Carrier Aggregation.
Proceedings of the IEEE Global Communications Conference, 2021

2019
A hybrid dead reckoning error correction scheme based on extended Kalman filter and map matching for vehicle self-localization.
J. Intell. Transp. Syst., 2019

2016
Human-driver speed profile modeling for autonomous vehicle's velocity strategy on curvy paths.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2014
Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2014


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