A General Framework of LSTM and Transfer Learning Based CFDAMA Strategy in Broadband Satellite System

Authors

  • Qiang He School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
  • Zheng Xiang School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
  • Peng Ren School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

DOI:

https://doi.org/10.13052/jwe1540-9589.2029

Keywords:

Multiple access scheme, LSTM, transfer learning, data traffic prediction, CFDAMA

Abstract

With the development of the economy and technology, people’s requirement for communication is also increasing. Satellite networks have been paid more and more attention because of its broadband service capability and wide coverage. In this paper, we investigate the framework of a long-short term memory (LSTM) and transfer learning-based Combined Free/Demand Assignment Multiple Access (CFDAMA) scheme (CFDAMA-LSTMTL), which is a new multiple access scheme in the broadband satellite system. Generally, there is a delay time T between sending a request from the user to the satellite and receiving a reply from the satellite. So far, the traditional multiple access schemes has not processed the data traffic generated in this period of time. So, in order to transmit the data traffic in time, we propose a new prediction method, which combines LSTM with transfer learning. We introduce the prediction method into the CFDAMA scheme so that it can reduce data accumulation by the way of sending the sum slots requested by the user and the predicted request slots generated in the delay time T. A comparison with CFDAMA-PA and CFDAMA-PB is provided through simulation results, which gives the effect of the CFDAMA-LSTMTL in a broadband satellite systems.

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Author Biographies

Qiang He, School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

Qiang He was born in 1985. He received his B.S. degree in biomedical engineering from Sichuan University of Science & Engineering, ZiGong, China, in 2010. He is currently pursuing the Ph.D. degree in science of military command, Xidian University, Xi’an, China.

Zheng Xiang, School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

Zheng Xiang received the B.S. and M.S. degrees in Air Force Engineering University, Xi’an, China, in 1998 and the Ph.D. degree in Xi’an Jiaotong University, Xi’an, China, in 2006. Since 2002, he has been a Faculty Member with the School of Telecommunications Engineering, Xidian University, where he is currently a Full Professor with the State Key Laboratory of ISN. His current research interests include self-organizing networks, communication signal processing, and broadband data communication.

Peng Ren, School of Telecommunications Engineering, Xidian University, Xi’an 710071, China

Peng Ren received the B.S., M.S., and Ph.D. degrees from Xidian University, Xi’an, China, in 2006, 2010, and 2014, respectively, all in telecommunications engineering. He is currently an Associate Professor with the School of Telecommunications Engineering, Xidian University, Xi’an, China. His current research interests are signal processing for wireless communications, Ad Hoc network, and multidimensional data analysis and processing.

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Published

2021-03-16

Issue

Section

Advanced Practice in Web Engineering