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Journal of System Simulation

Abstract

Abstract: Most of the new services in 5G mobile communication technologies, including smart homes, smart factories, and virtual reality, take place in indoor scenes. Therefore, how to quickly plan and build a 5G indoor distribution system with low construction cost and low power loss is of great significance for telecom operators. This paper establishes a mathematical planning model of a 5G indoor distribution system, which is closer to the actual scenario. The model aims to minimize the deployment cost and the maximum output signal power deviation between antennas, and the constraint is to meet the expected output signal power of each antenna, which is a constrained multi-objective optimization problem of mixed variables. Based on the Huffman coding idea, this paper proposes a coding strategy suitable for the structure of an indoor distribution system and uses the coding strategy to design an effective algorithm to solve the model under the framework of the MOEA/D-CM2M algorithm. The strategy can provide multiple planning schemes through a single operation. Computer simulation shows that the established model and the proposed algorithm are effective, and the cost is reduced by 8.90% and 20.09% compared with the original design of two real cases.

First Page

659

Last Page

672

CLC

TP391.9; TN92

Recommended Citation

Zeng Shaoda, Liu Hailin. Planning Modeling and Optimization Algorithm for 5G Indoor Distribution System[J]. Journal of System Simulation, 2024, 36(3): 659-672.

Corresponding Author

Liu Hailin

DOI

10.16182/j.issn1004731x.joss.23-0241

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