Channel resources management strategy for multi-layer satellite network

被引：1
|
作者：
Zhou J. [1 ,2 ]
Sun L. [1 ,2 ]
Han C. [1 ,2 ]
Guo X. [1 ,2 ]
Wang J. [1 ,2 ]
机构：
[1] School of Computer, Nanjing University of Posts and Telecommunications, Nanjing
[2] Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2017年 / 39卷 / 08期
关键词：
ARIMA model; Channel resources management; Degraded factor; Game model; Multi-layer satellite network;
D O I：
10.3969/j.issn.1001-506X.2017.08.27
中图分类号：
学科分类号：
摘要：
The characteristics of multi-layer satellite are complex structure and limited channel resources. Efficient management of channel resources in multi-layer satellite can improve the work efficiency of the entire satellite system. Therefore, a channel resources management strategy for multi-layer satellite is proposed. To deal with the problem of channel resources management in LEO/MEO/GEO satellite networks, the priorities are classified by the traffic type firstly. Secondly, the users of new caller traffic in the cell are predicted based on the autoregressive integrated moving average (ARIMA) model. Thirdly, the access layer is chosen according to the predicted users and residual channel bandwidth. Then, the game model is used to determine whether users access or not. Finally, the degraded users are chosen by the degraded factor to release channel bandwidth. The simulation results prove that this strategy can reduce the whole blocking rate and improve the whole utility. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：1857 / 1863
页数：6
相关论文
共 21 条
  • [1] Yi K.C., Li Y., Sun C.H., Et al., Recent development and its prospect of satellite communications, Journal on Communications, 36, 6, pp. 1-16, (2015)
  • [2] Dionysia K.P., Maekos P.A., Hsiaohw C., Distributed resource allocation for delay-sensitive services in satellite networks using game theory, IEEE Trans. on Computational Intelligence and in Games, 1, 2, pp. 134-144, (2009)
  • [3] Zhang Y.G., Zhang J., Zhang T., An admission control strategy of mobile satellite system based on utility and resource borrowing, Journal of Electronics & Information Technology, 31, 11, pp. 2687-2691, (2009)
  • [4] Ding D., Ma D.T., Wei J.B., Et al., Optimal call admission control and handover management scheme in multiservice LEO satellite networks, Journal of Electronics & Information Technology, 32, 7, pp. 1559-1563, (2010)
  • [5] Polychronis K., Using traffic prediction and estimation of provider revenue for a joint GEO satellite MAC/CAC scheme, Wireless Networks, 17, 17, pp. 797-815, (2011)
  • [6] Li D., Ji B.H., Wang F., Et al., The dynamic allocation of broadband DVB-RCS satellite access channel based on chaotic prediction, Journal of Electronics & Information Technology, 30, 3, pp. 607-611, (2008)
  • [7] Xiao N., Liang J., Zhang H.Y., Et al., A channel access strategy based on cognitive radio for satellite communication network, Journal of Astronautics, 36, 5, pp. 589-595, (2015)
  • [8] Yao Y., Liang X.W., Dynamic routing technique based on LEO&GEO double-layered satellite network, Systems Engineering and Electronics, 35, 9, pp. 1966-1973, (2013)
  • [9] Nishivama H., Tada Y., Kato N., Et al., Toward optimized traffic distribution for efficient network capacity utilization in two-layered satellite networks, IEEE Trans. on Vehicular Technology, 62, 3, pp. 1303-1313, (2012)
  • [10] Wang J., Guo Y.J., Sun L.J., Et al., Load balancing algorithm for multi-traffic in double layered satellite network, Systems Engineering and Electronics, 38, 9, pp. 2156-2161, (2016)
123