Resource allocation algorithm for T2T and T2G coexistence scenarios in urban rail transit

Ming Zhang; Ruifeng Wang; Lei Gao

doi:10.1117/12.3004081

11 October 2023 Resource allocation algorithm for T2T and T2G coexistence scenarios in urban rail transit

Ming Zhang, Ruifeng Wang, Lei Gao

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280017 (2023) https://doi.org/10.1117/12.3004081
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

A resource allocation strategy based on the improved Marine Predators Algorithm and KM algorithm is proposed to address the interference problem generated by spectrum multiplex in the coexistence scenario of Train to Train (T2T) communication and Train to Ground (T2G) communication in urban rail transit system while ensuring the user communication quality. First, the throughput optimization model under multiple constraints is developed and decomposed into two sub-problems of optimal power allocation and Channel Multiplex matching. Second, considering the problems of premature convergence and easy falling into the local optimum of the original MPA algorithm, a reverse learning strategy is used to optimize the initial population, improve the step size parameter and introduce the search balance parameter to improve the performance of the algorithm, and allocate optimize transmission power for T2T users and T2G users. Finally, the KM algorithm is used to find the best Channel Multiplex combination. Simulation results show that this algorithm improves the overall system throughput by 5.9% and 7.1% compared with Marine Predators Algorithm and Gray wolf optimization algorithm, significantly improving overall system communication performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ming Zhang, Ruifeng Wang, and Lei Gao "Resource allocation algorithm for T2T and T2G coexistence scenarios in urban rail transit", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280017 (11 October 2023); https://doi.org/10.1117/12.3004081

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KEYWORDS

Telecommunications

Multiplexing

Education and training

Evolutionary algorithms

Mathematical optimization

Matrices

Oceanography

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