Chinese Journal on Internet of Things ›› 2023, Vol. 7 ›› Issue (2): 67-75.doi: 10.11959/j.issn.2096-3750.2023.00284

• Theory and Technology • Previous Articles     Next Articles

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)


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

CLC Number: 

No Suggested Reading articles found!