Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6): 39-43.doi: 10.11896/jsjkx.211200143

• Smart IoT Technologies and Applications Empowered by 6G • Previous Articles     Next Articles

Wireless Resource Allocation Algorithm with High Reliability and Low Delay for Railway Container

XU Hao1,2, CAO Gui-jun2, YAN Lu1,3, LI Ke2, WANG Zhen-hong2   

  1. 1 Postgraduate Department,China Academy of Railway Sciences,Beijing 100081,China
    2 Signal and Communication Research Institute,China Academy of Railway Sciences,Beijing 100081,China
    3 Science and Information Technology Department,China Academy of Railway Sciences,Beijing 100081,China
  • Received:2021-12-13 Revised:2022-03-11 Online:2022-06-15 Published:2022-06-08
  • About author:XU Hao,born in 1983,Ph.D,associate researcher.His main research interests include high speed railway communication system and synthetic automation of marshalling yard.
    YAN Lu,born in 1982,Ph.D,associate researcher.Her main research interests include railway signal and communication,comprehensive dispatching technology.
  • Supported by:
    National Natural Science Foundation of China(U1834211) and Key Programs of Technological R&D of China Academy of Railway Sciences(2021YJ101).

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Abstract: The intelligent container system improves the container operation efficiency through the real-time collection and transmission of information.In order to ensure the ultra reliable and low delay communication of container terminals,this paper pro-poses to transmit the information in the form of the short packets,and studies the sum rate maximization of the uplink transmission system for the railway container terminals in the multi cells.This paper proposes a spectrum resource allocation problem.Multiple cells share spectrum resources,and the terminals in the cells obtain the spectrum through competition.The game theory model is used to construct this competition relationship,and Nash equilibrium solution is proved.The best Nash equilibrium solution is the global optimal solution for system and rate maximization.Then,a distributed iterative algorithm is designed,which only needs local information interaction.It is proved theoretically that when the smoothing coefficient is small enough,the algorithm can converge to the best Nash equilibrium point with any high probability.Finally,the proposed algorithm is verified by simulation.Simulation results show that the proposed algorithm has fast convergence speed and is better than best response dynamics(BRD) algorithm and No-regret algorithm.

Key words: Game theory, Nash equilibrium solution, Short packets, Spectrum resource allocation, Ultra reliable and low delay

CLC Number: 

  • TN911
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