• Laser & Optoelectronics Progress
  • Vol. 58, Issue 17, 1706003 (2021)
Chao Fan1、*, Changyin Sun2, and Fan Jiang2
Author Affiliations
  • 1School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an , Shaanxi 710121, China
  • 2Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, Xi'an , Shaanxi 710121, China
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    DOI: 10.3788/LOP202158.1706003 Cite this Article Set citation alerts
    Chao Fan, Changyin Sun, Fan Jiang. A Dynamic Programming Algorithm for Power Allocation Based on System Fairness and Blocking in Heterogeneous Networks[J]. Laser & Optoelectronics Progress, 2021, 58(17): 1706003 Copy Citation Text show less

    Abstract

    To solve the contradiction between resource utilization and resource waste caused by congestion in the dual-connection offloading process, a dynamic programming algorithm with congestion prediction is proposed. Considering the high intermittent situation of millimeter wave links and fairness between heterogeneous network links under the constraint of total power, taking system weighting and rate maximization as the optimization goal, the non-convex problem is modeled as a finite-horizon discrete-time domain Markov decision process. The proposed algorithm is used to solve the power allocation problem in parallel connection of microwave and millimeter wave. The simulation results show that the algorithm can significantly improve the system performance by learning the power allocation strategy.
    Chao Fan, Changyin Sun, Fan Jiang. A Dynamic Programming Algorithm for Power Allocation Based on System Fairness and Blocking in Heterogeneous Networks[J]. Laser & Optoelectronics Progress, 2021, 58(17): 1706003
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