Heterogeneous network resource slicing method with eMBB and URLLC mixed service

A heterogeneous network and hybrid service technology, applied in the field of mobile communications, can solve the problem of sacrificing eMBB service quality, and achieve the effect of ensuring overall utility and improving spectrum efficiency

Active Publication Date: 2022-04-12
SHANDONG UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But meeting the performance requirements of URLLC is at the expense of eMBB service quality

Method used

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  • Heterogeneous network resource slicing method with eMBB and URLLC mixed service
  • Heterogeneous network resource slicing method with eMBB and URLLC mixed service
  • Heterogeneous network resource slicing method with eMBB and URLLC mixed service

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Embodiment Construction

[0065] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0066] Such as figure 1 Shown is the method block diagram of the present invention, including the following three processes: in the 5G heterogeneous fusion network area, construct a heterogeneous fusion network model composed of base stations and base station users; establish a maximum utility function according to the heterogeneous fusion network model; Using the DQN algorithm, the optimal resource scheduling and allocation scheme is obtained for heterogeneous network resource slices with mixed eMBB and URLLC services. The specific performance is: establish a heterogeneous converged network model composed of base stations and base station users; describe the resource allocation problem in a heterogeneous network with mixed services of eMBB and URLLC as a non-convex optimization problem and establish an optimization function (that is, establish ...

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Abstract

The invention discloses a heterogeneous network resource slicing method with eMBB and URLLC mixed service, which belongs to the technical field of mobile communication, and comprises the following steps: constructing a heterogeneous convergence network model consisting of a base station and a base station user in a 5G heterogeneous convergence network area; establishing a maximized utility function according to the heterogeneous fusion network model; and slicing heterogeneous network resources with the eMBB and URLLC mixed service by adopting a DQN algorithm to obtain an optimal resource scheduling allocation scheme. According to the method, the bandwidth allocation problem in wireless resources is solved, the DQN algorithm in deep reinforcement learning is used for solving the resource scheduling allocation problem between the eMBB and the URLLC in the 5G heterogeneous fusion network, the QoE of the eMBB and the URLLC services can be ensured, the spectrum efficiency SE is improved, and the overall effectiveness of the system is improved.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a method for slicing heterogeneous network resources with mixed services of eMBB and URLLC. Background technique [0002] With the explosive growth of mobile network data, the fifth-generation mobile communication technology has matured to meet various service demands. The most typical service types in the fifth-generation mobile communication network are: enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable and low-latency communication (URLLC) services. The 5G network provides resources for the above three types of users in a sliced ​​manner. When performing slicing, the base station can adjust resource allocation on demand according to the dynamic needs of user service types, and can adapt to different network states. Slicing network resources can realize 5G network data offload management and flexible alloc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/08G06N3/08
CPCY02D30/70
Inventor 陈赓邵睿曾庆田郭银景段华徐先杰张旭
Owner SHANDONG UNIV OF SCI & TECH
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