Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

Yingxia Shao , Hailin Jiang , Hongli Zhao

Urban Rail Transit ›› 2021, Vol. 7 ›› Issue (2) : 128 -138.

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Urban Rail Transit ›› 2021, Vol. 7 ›› Issue (2) : 128 -138. DOI: 10.1007/s40864-021-00147-6
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Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

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Abstract

Train-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist in future train-centric communication-based train control (CBTC) systems. The feasibility of T2T communication in urban rail transit is analyzed first. Referring to the device-to-device (D2D) communication scenario in the general cellular network, this paper establishes a radio resource optimization model for the coexistence of train-to-train communication and train-to-wayside communication. With the aim of more efficient scheduling of radio time-frequency resources in the dedicated frequency band, we propose a Stackelberg game-based radio resource management algorithm based on the consideration of different service priorities of trains. The analysis and simulation results show that the proposed algorithm can effectively guarantee the performance of the system and improve the reliability of the CBTC system.

Keywords

Train-to-train communication / Radio resource management / Device-to-device / Stackelberg game

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Yingxia Shao, Hailin Jiang, Hongli Zhao. Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System. Urban Rail Transit, 2021, 7(2): 128-138 DOI:10.1007/s40864-021-00147-6

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