- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | GAO Yunbo, CHENG Xuan, LI Cuiran, TIAN Zhiyu, WANG Guorong. Power Allocation Algorithm in T2T and T2G Hybrid Network[J]. Journal of Southwest Jiaotong University, 2023, 58(5): 1126-1134, 1179. doi: 10.3969/j.issn.0258-2724.20210992
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Most of power allocation algorithms are based on ideal channel state information (CSI) to achieve performance optimization, which is not applicable in train-to-train (T2T) dual mobile terminal communication. For the hybrid network scenario of T2T and train-to-ground (T2G) in urban rail transit system, the CSI feedback delay is introduced to study the power allocation algorithm that can still guarantee the communication quality under non-ideal conditions. Given the situation that a single T2G user reuse a single T2T user pair, the optimization goal is to maximize the total transmission rate of T2G users, and a power allocation model is constructed under multiple constraints. First, according to a step-by-step concept, the non-convex model is divided into two sub-models of optimal allocated power calculation and optimal multiplexing users matching. Second, the optimal solution and the optimal value of the objective function in the feasible region are analyzed through linear programming, and the optimal distribution power is solved by the dichotomy. Finally, after screening the set of feasible multiplex pairs, the Hungarian algorithm is used for matching. Simulation results show that the proposed algorithm allows for the interruption probability constraint of T2T communication and the total transmission rate of T2G users in the urban rail transit system, and controls CSI feedback delay within 1.0 ms.
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