Abstract
With the development of the economy and technology, people’s requirement for communication is also increasing. Satellite communication networks have been paid more and more attention because of their broadband service capability and wide coverage. In this paper, we investigate the scheme of convolutional long short term memory (CLSTM) network and transfer learning (TL) based combined free/demand assignment multiple access (CFDAMA) scheme (CFDAMA-CLSTMTL), which is a new multiple access scheme in the satellite communication networks. 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 have not processed the data generated in this period. So, in order to transmit the data in time, we propose a new prediction method CLSTMTL, which can be used to predict the data generated in this period. We introduce the prediction method into the CFDAMA scheme so that it can reduce data accumulation by the way of sending the slots request which is the sum of slots requested by the user and the predicted slots generated in the delay time. A comparison with CFDAMA-PA and CFDAMA-PB is provided through simulation results, which gives the effect of the CFDAMA-CLSTMTL in a satellite communication network.
Highlights
In recent years, wired and wireless communication technologies have been greatly developed
This paper examines the comparative performance of the combined free/demand assignment multiple access (CFDAMA)-CLSTM and transfer learning (CLSTMTL) scheme with CFDAMA-PA and CFDAMA-PB, and the experimental results and analysis are given below
We propose a new CFDAMA scheme, which introduces the combination of convolutional long short term memory (CLSTM) and transfer learning and it is entitled CFDAMA-CLSTMTL
Summary
In recent years, wired and wireless communication technologies have been greatly developed. The practice has shown that widely deployed integrated terrestrial-satellite networks, along with emerging techniques, such as MIMO (Multiple-input Multiple-Output) [6], OFDM (orthogonal frequency division multiplexing) [7], and cognitive radio (CR) [8], can promote the performance of communication and provide satisfactory services for the growing number of terminals within limited resources. CFDAMA is a combination of free assignment of time slots and demand assignment With this new scheme, the satellite networks can provide a minimum end-to-end delay. A CLSTM and transfer learning based CFDAMA strategy in satellite communication networks scheme are difficult to meet the demands. The motivation is to improve the performance of the multiple access scheme in the satellite communication system by the CLSTM and transfer learning combined with CFDAMA, which is used to predict the data traffic in the network.
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