Multimodal LSTM forecasting for LEO Satellite Communication Terminal access-Reference-Cited by-同舟云学术

Multimodal LSTM forecasting for LEO Satellite Communication Terminal access

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
language:
Short-container-title:

Author:

Li Hongguang¹,Liu Yaoqi¹,Shi Jinglin²,Zhou Yiqing³,Zhuo Ruilian¹,Li Shaoyang⁴

Affiliation:

1. Chinese Academy of Sciences University of Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

2. Institute of Computing Technology, CAS,Beijing Key Laboratory of Mobile Computing and Pervasive Device SKLP,Beijing,China

3. Zhongke Nanjing Mobile Communication & Computing Innovation Institute,Beijing,China

4. China Academy of Space Technology,Beijing,China

Funder

Jiangsu Provincial Key Research and Development Program

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199114/10199145/10199836.pdf?arnumber=10199836

Reference24 articles.

1. Coordinated Multipoint Transmission in Dense Cellular Networks With User-Centric Adaptive Clustering

2. Recursive and direct multi-step forecasting: the best of both worlds [J];taieb;Monash Econometrics and Business Statistics Working Papers,2012

3. Interference Cancellation Based Channel Estimation for Massive MIMO Systems With Time Shifted Pilots

4. Learning representations by back-propagating errors

5. Adaptive Secondary Range Compression Algorithm in Geosynchronous SAR [J];cheng;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of Deep Learning in Satellite Communication: A Survey;Communications in Computer and Information Science;2024