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.
This work was supported in part by National Natural Science Foundation of China (grant No. 91538105) and the National Basic Research Program of China (973 Program 2014CB340206).
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Feng, Y., Ren, G. (2018). LS-SVM Based Large Capacity Random Access Control Scheme in Satellite Network. In: Yu, Q. (eds) Space Information Networks. SINC 2017. Communications in Computer and Information Science, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-10-7877-4_25
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DOI: https://doi.org/10.1007/978-981-10-7877-4_25
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