End-to-end throughput evaluation model and optimization method for dual-mode mesh network
The requirements of the emerging smart grid pose a challenge for power line carrier communication systems in low-voltage networks. However, a large-scale dual-mode communication mesh network, with its advantages, such as high reliability and throughput, holds promise for widespread application in po...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2025-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025131/ |
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| Summary: | The requirements of the emerging smart grid pose a challenge for power line carrier communication systems in low-voltage networks. However, a large-scale dual-mode communication mesh network, with its advantages, such as high reliability and throughput, holds promise for widespread application in power communication systems. Prior to constructing the new network, it is essential to perform a capacity pre-assessment. Yet, building an accurate analytical model for capacity analysis is complicated because of numerous interrelated factors. To address these challenges, the uplink capacity of dual-mode communication in large-scale mesh networks was investigated. Firstly, a throughput model for multi-hop transmission was established based on the device hierarchy structure within the sub-net mesh. Constraints such as frequency hopping and device half-duplex mechanism were then introduced into the model, and a satisfaction function was proposed to address the issue of unfair resource allocation for information flows, forming a convex optimization problem for throughput in one sub-net. Then, considering the constraints of sustained coefficients between multiple subnets, an integer-constrained optimization problem for throughput in multiple sub-nets was formulated, and the optimal solution represented the uplink capacity of the network. The simulation results show that the network throughput of dual-mode communication is at least 50% higher than that of the single mode communication. The proposed resource allocation algorithm improves throughput by 10% compared with traditional resource allocation algorithms. By improving the network concurrency ability and the receiving ability of the master node, a significant gain in network load capacity can be achieved. |
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| ISSN: | 1000-0801 |