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1.南京邮电大学通信与信息工程学院,江苏 南京 210003
2.南京熊猫电子股份有限公司,江苏 南京 210000
[ "苏展(1999- ),男,南京邮电大学通信与信息工程学院博士生,主要研究方向为工业互联网、智慧电网容量分析等。" ]
[ "文博(1980- ),男,南京熊猫电子股份有限公司正高级工程师、副总工程师,主要研究方向为嵌入式软硬件、边缘计算、数据安全、人工智能、区块链、工业互联网。" ]
[ "朱晓荣(1977- ),女,博士,南京邮电大学通信与信息工程学院教授、博士生导师,主要研究方向为5G/6G通信系统、物联网、区块链等关键技术与系统。" ]
收稿日期:2024-12-28,
修回日期:2025-05-11,
纸质出版日期:2025-07-20
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苏展,文博,朱晓荣.双模介质通信mesh网络吞吐量分析与优化[J].电信科学,2025,41(07):56-70.
SU Zhan,WEN Bo,ZHU Xiaorong.End-to-end throughput evaluation model and optimization method for dual-mode mesh network[J].Telecommunications Science,2025,41(07):56-70.
苏展,文博,朱晓荣.双模介质通信mesh网络吞吐量分析与优化[J].电信科学,2025,41(07):56-70. DOI: 10.11959/j.issn.1000-0801.2025131.
SU Zhan,WEN Bo,ZHU Xiaorong.End-to-end throughput evaluation model and optimization method for dual-mode mesh network[J].Telecommunications Science,2025,41(07):56-70. DOI: 10.11959/j.issn.1000-0801.2025131.
面向低压配电网的双模介质通信系统,凭借电力线载波与无线通信介质在传输特性上的互补优势,有望承载新型智慧电网业务的容量需求。然而,配电网复杂的层级拓扑结构、双模介质的传输协作机制和资源公平性分配的多重约束等,使精确建立容量分析模型面临诸多挑战。因此,针对以上挑战开展双模介质通信的大规模配电mesh网络上行负载能力研究。首先,根据mesh子网中设备层级结构建立多跳信息流吞吐量模型,引入跳频机制、设备半双工机制等约束,提出解决信息流的资源分配不公平问题的满意度函数,形成单子网吞吐量优化问题。其次,结合多子网间干扰约束,形成整数约束的多子网吞吐量优化问题,所得最优解为大规模mesh网络的上行负载能力。仿真结果表明,双模通信较单模通信网络吞吐量有50%以上的提升,所提的资源分配算法较传统资源分配算法吞吐量提升了10%,且通过提升网络并发能力和主控节点接收能力可获得较大的网络负载能力增益。
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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