Abstract
Massive number of the uncoordinated machine-type communication (MTC) terminals accessing the satellite hub overloads the CDMA slotted Aloha (SA) random access system with a large capacity, whose performance is drastically reduced, and introduce a long service time for the activated terminals. To improve the performance of the random access scheme, we propose a Least Squares Support Vector Machines (LS-SVM) regression based random access control scheme with a sliding window. By using one step and multistep LS-SVM predicting algorithm, satellite hub predicts the channel loads of the future slots, and computes the access probability, then broadcasts to all MTC devices. Simulation results show that the proposed scheme approaches to the perfect control scheme, and the throughput is more than 2.5 times, and the total service time for all the activated terminals is less than 0.4 times that of the available EKF based control scheme in the satellite network.
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