物联网学报 ›› 2023, Vol. 7 ›› Issue (2): 67-75.doi: 10.11959/j.issn.2096-3750.2023.00284

• 理论与技术 • 上一篇    下一篇

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   

  1. 南京邮电大学通信与信息工程学院,江苏 南京 210003
  • 修回日期:2022-12-02 出版日期:2023-06-30 发布日期:2023-06-01
  • 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
  • 基金资助:
    国家自然科学基金资助项目(61871237);国家自然科学基金资助项目(92067101);江苏省重点研发计划(BE2021013-3);江苏省研究生科研与实践创新计划项目(KYCX21_0733)

A joint optimization method of multi backhaul link selection and power allocation in 6G

Qingyang LI, Xueting LI, Xiaorong ZHU   

  1. School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Revised:2022-12-02 Online:2023-06-30 Published:2023-06-01
  • Supported by:
    The National Natural Science Foundation of China(61871237);The National Natural Science Foundation of China(92067101);The Key Research and Development Project of Jiangsu Province(BE2021013-3);The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX21_0733)

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。

关键词: 6G基站, 多回程链路, 功率分配, 联合优化, 排队论

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.

Key words: 6G base station, multiple backhaul links, power allocation, joint optimization, queuing theory

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