| 基于配网的5G通信承载网资源分配近优算法 |
投稿时间：2021-09-10 修订日期：2021-11-28  点此下载全文 |
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| 基金项目:广东电网5G+现代化电网试点规划研究 |
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| 中文摘要:为了解决第五代网络技术条件下配电通信网互联所构成的大规模光传送网面临的路由选择、子载波数分配、各子载波调制阶数分配的联合优化问题，本文结合最短k路由算法，提出一种联合路由选择、子载波数分配及各子载波调制阶数分配的近优算法。为了检验该近优方法的有效性，以一个中等规模网络为例，将其与基于路由穷举的最优方法对比，结果表明，本文提出的近优方法以较小的K值就可以求得联合优化问题的最优解，而计算时间较基于路由穷举的联合优化最优算法有显著降低。因而本文所提出的的近优算法适用于解决大规模光传送网的路由选择、子载波数及调制阶数分配联合优化问题。 |
| 中文关键词:配电网 光正交频分复用 子载波分配 软件定义网络 k_最短路 |
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| Near-optimal algorithm for resource allocation in the communication network of the fifth generation based on distribution power |
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| Abstract:n order to solve the joint optimization of routing, sub-carrier allocation and modulation scheme allocation for each subcarrier in large-scale optical transfer networks formed by inter-connection of communication networks for power distribution network in the era of fifth generation network，a near optimal algorithm based on k-shortest paths is proposed to find a good solution for joint path selection, number of subcarriers allocation and the corresponding modulation scheme assignment for each subcarrier. To verify the efficiency of the proposed near-optimal algorithm, a medium scale optical transfer network is chosen the example. Comparisons are done between the near optimal algorithm and the optimal algorithm based on exhaustive route searching for joint routing, subcarrier allocation and allocation of modulation scheme for each subcarrier. The comparisons show that a small value of k for the near optimal algorithm suffices to obtain an optimal solution for the joint optimization problem whilst the time needed is apparently reduced in the case of a medium scale network. This result reveals that the new near optimal algorithm ban be expected as suitable for solving the joint optimization of routing, subcarrier allocation and modulation schemes allocation for large-scale optical transfer networks for the communication network of power distribution system |
| keywords:power distribution network optical orthogonal frequency multiplexing subcarrier allocation software defined network k shortest path |
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