Table 1.
Typical multiple access model.
Table 2.
Reservation request table.
Table 3.
Free assignment table.
Fig 1.
Uplink/downlink frame format of CFDAMA.
Fig 2.
The basic structure of LSTM.
Fig 3.
Network structure unfolded in time.
Fig 4.
Network structure of CLSTM.
Fig 5.
Data prediction based on CLSTM.
Fig 6.
Principle of transfer learning.
Fig 7.
Principle of CLSTMTL.
Fig 8.
ON-OFF traffic model.
Fig 9.
Pareto ON-OFF traffic data model.
Fig 10.
Simulation scenario.
Table 4.
Simulation parameters for the satellite networks.
Table 5.
Simulation parameters for the CLSTM network.
Fig 11.
Mean end-to-end delay/normalized channel load performance.
Fig 12.
Mean accumulate of queue packets/normalized channel load performance.
Fig 13.
Mean end-to-end delay/number of users performance.
Fig 14.
Mean accumulate of queue packets/number of users performance.
Table 6.
Evaluation results of the prediction performance.