6G多回程链路选择与功率分配联合优化方法

李庆洋; 李雪婷; 朱晓荣

doi:10.11959/j.issn.2096-3750.2023.00284

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6G多回程链路选择与功率分配联合优化方法

理论与技术 | 更新时间：2024-08-16

- 6G多回程链路选择与功率分配联合优化方法
- A joint optimization method of multi backhaul link selection and power allocation in 6G
- 物联网学报 2023年7卷第2期页码：67-75
- 作者机构：
- 作者简介：
  
  [ "李庆洋（1998- ），男，南京邮电大学硕士生，主要研究方向为无线通信" ]
  [ "李雪婷（2000- ），女，南京邮电大学硕士生，主要研究方向为场域网" ]
  [ "朱晓荣（1977- ），女，博士，南京邮电大学教授、博士生导师，主要研究方向为5G/6G 通信系统、异构网络、物联网等关键技术及系统研发" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61871237);国家自然科学基金资助项目;The National Natural Science Foundation of China(92067101);江苏省重点研发计划;The Key Research and Development Project of Jiangsu Province(BE2021013-3);江苏省研究生科研与实践创新计划项目;The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX21_0733)
- DOI：10.11959/j.issn.2096-3750.2023.00284
  中图分类号： TN929.5
- 纸质出版日期：2023-06-30，
  
  网络出版日期：2023-06，
- 稿件说明：
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李庆洋, 李雪婷, 朱晓荣. 6G多回程链路选择与功率分配联合优化方法[J]. 物联网学报, 2023,7(2):67-75.

QINGYANG LI, XUETING LI, XIAORONG ZHU. A joint optimization method of multi backhaul link selection and power allocation in 6G. [J]. Chinese journal on internet of things, 2023, 7(2): 67-75.
李庆洋, 李雪婷, 朱晓荣. 6G多回程链路选择与功率分配联合优化方法[J]. 物联网学报, 2023,7(2):67-75. DOI： 10.11959/j.issn.2096-3750.2023.00284.

QINGYANG LI, XUETING LI, XIAORONG ZHU. A joint optimization method of multi backhaul link selection and power allocation in 6G. [J]. Chinese journal on internet of things, 2023, 7(2): 67-75. DOI： 10.11959/j.issn.2096-3750.2023.00284.

摘要

针对6G系统热点区域基站单回程链路能力受限的问题，提出了弹性覆盖系统多回程链路选择与功率分配联合优化方法，使数据包根据其业务特点和链路状况选择合适的回程链路和功率进行传输。首先，运用排队论分析了数据包在小基站子队列上的传输时延；然后，以最大化时延容忍弹性值为优化目标进行建模；最后，采用匈牙利算法和拉格朗日对偶加梯度下降法进行求解。分析和仿真结果表明，与传统算法相比，所提算法将超可靠低时延通信（URLLC

ultra-reliable and low-latency communication）业务数据包和增强型移动宽带（eMBB

enhanced mobile broadband）业务数据包的平均时延分别降低了17%和14%，有效提高了网络的传输速率。

Abstract

Aiming at the problem of limited single backhaul link capability of base stations in hotspot areas of the 6G system

a joint optimization method was proposed for multi-backhaul link selection and power allocation in an elastic coverage system

so that the data packets can select the appropriate backhaul link and transmission power according to their service characteristics and link conditions.Firstly

the transmission delay of data packets on the small cell sub-queue was analyzed by using queuing theory.Then

the optimization objective was modeled with the maximum delay tolerance elasticity value.Finally

the optimization problem were solved by the Hungarian algorithm and the Lagrangian duality and gradient descent method.The simulation results show that

compared with the traditional algorithm

the algorithm proposed reduces the average delay of URLLC (ultra-reliable and low-latency communication) service data packets and eMBB (enhanced mobile broadband) service data packets by 17% and 14% respectively

and effectively improves the network transmission rate.

关键词

6G基站多回程链路功率分配联合优化排队论

Keywords

6G base stationmultiple backhaul linkspower allocationjoint optimizationqueuing theory

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