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

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

doi: 10.1049/cje.2019.06.024
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
  • 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%.
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