State Machine with Tracking Tree and Traffic Allocation Scheme Based on Cumulative Entropy for Satellite Network

LIN Wenliang; WANG Huijun; DENG Zhongliang; WANG Ke; ZHOU Xiaotian

doi:10.1049/cje.2019.06.024

Volume 29 Issue 1

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LIN Wenliang, WANG Huijun, DENG Zhongliang, WANG Ke, ZHOU Xiaotian. State Machine with Tracking Tree and Traffic Allocation Scheme Based on Cumulative Entropy for Satellite Network[J]. Chinese Journal of Electronics, 2020, 29(1): 183-189. doi: 10.1049/cje.2019.06.024

Citation:

LIN Wenliang, WANG Huijun, DENG Zhongliang, WANG Ke, ZHOU Xiaotian. State Machine with Tracking Tree and Traffic Allocation Scheme Based on Cumulative Entropy for Satellite Network[J]. Chinese Journal of Electronics, 2020, 29(1): 183-189. doi: 10.1049/cje.2019.06.024

Citation:

LIN Wenliang, WANG Huijun, DENG Zhongliang, WANG Ke, ZHOU Xiaotian. State Machine with Tracking Tree and Traffic Allocation Scheme Based on Cumulative Entropy for Satellite Network[J]. Chinese Journal of Electronics, 2020, 29(1): 183-189. doi: 10.1049/cje.2019.06.024

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State Machine with Tracking Tree and Traffic Allocation Scheme Based on Cumulative Entropy for Satellite Network

doi: 10.1049/cje.2019.06.024

1.
The School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2.
Science and Technology on Communication Networks Laboratory, 54 th Institute, CETC, Shijiazhuang 050080, China;
3.
Chinese Institute of Electronics, Beijing 100036, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61801039), China Project (No.D010109), 2016 China National Key Research and Development Plan (No.2016YFB0502503, No.2016YFB0502001), and 2017 Beijing Research and Development Seed Fund Project (No.042300188).

Received Date: 2018-11-20
Rev Recd Date: 2019-04-30
Publish Date: 2020-01-10

Abstract

Abstract

Satellite network is regarded as an important component of 5th Generation (5G). New deployment scenarios have been designed in form of satellite network fused 5G terrestrial network. Service requests in Non terrestrial networks (NTN) are noncentralized in the time and space domain, which cause services modelling uncertain and lack of balance between latency and bandwidth. Targeted at those bottlenecks, a Satellite service model based on State machine with tracking tree (SM-SMTT) and traffic allocation scheme base on cumulative entropy is proposed. Enhanced mobile broadband service, low latency service and massive machine type communications in satellite will be modelled by SM-SMTT. Cumulative entropy is introduced as the criterion to allocate traffic. According to the lower bound from cumulative entropy, the balance of latency and bandwidth is achieved in different deployment scenarios. The simulation in OPNET, demonstrations the new scheme has promoted the performance of delay and bandwidth utilization by 37.8% and 12.0%.
- Heterogeneous network,
- Traffic congestion,
- Channel utilization,
- OPNET

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References(12)

References

3GPP TR 38.811:"Study on New Radio (NR) to support non terrestrial networks", 2018.

Y. Kawamoto, H. Nishiyama and N. Kato, "A divide and conquer approach for efficient bandwidth allocation in next generation satellite-routed sensor system (SRSS)", Proc. of Wireless Communications and Mobile Computing Conference (IWCMC), Sardinia, Italy, pp.741-745, 2013.

I. Bisio and M. Marchese, "Power saving bandwidth allocation over GEO satellite networks", IEEE Communications Letters, Vol. 16, No. 5, pp.596-599, 2012.

I. Bisio and M. Marchese, "Design and evaluation guidelines for bandwidth allocation solutions in satellite environments", Proc. of Global Telecommunications Conference, Honolulu, USA, pp.1-6, 2009.

Ji Z.,Wang Y., et al., "Delay-aware power and bandwidth allocation for multiuser satellite downlinks", IEEE Communications Letters, Vol.18, No.11, pp.1951-1954, 2014.

Wang H.,Liu A. and Pan X., "Optimization of joint power and bandwidth allocation in multi-spot-beam satellite communication systems", Mathematical Problems in Engineering, Vol.2014, No.6, pp.1-9, 2014.

Na Z.,Gao Z., et al., "QoS routing algorithm applying multiagent system for LEO satellite network", International Journal of Future Generation Communication and Networking, Vol.6, No.1, pp.63-74, 2013.

U. Park,HW. Kim,DS. Hh and BJ. Ku. "A dynamic bandwidth allocation scheme for a multi-spot-beam satellite system", Etri Journal, Vol.34, No.4, pp.613-616, 2012.

Du. J.,Jiang C., et al., "Auction design and analysis for SDNbased traffic offloading in hybrid satellite-terrestrial networks", IEEE Journal on Selected Areas in Communications, Vol.36, No.10, pp.2202-2217, 2018.

Lin W.,Deng Z., et al., "A new satellite communication bandwidth allocation combined services model and network performance optimization", International Journal of Satellite Communication and Network, Vol.35, No.3, pp.263-277, 2017.

Haijun Li and Xial Li, Stochastic Orders in Reliability and Risk, Springer, New York, NY, USA, pp.58-59, 2013.

N. Celandroni, F. Davoli and E. Ferro, "Long-lived TCP connections via satellite:Cross-layer bandwidth allocation, pricing and adaptive control", IEEE-ACM Transaction on network, Vol.14, No.5, pp.1019-1030, 2006.

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