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A heterogeneous network resource slicing method with embb and urllc hybrid services

A heterogeneous network and network slicing 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: 2022-06-07
SHANDONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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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  • A heterogeneous network resource slicing method with embb and urllc hybrid services
  • A heterogeneous network resource slicing method with embb and urllc hybrid services
  • A heterogeneous network resource slicing method with embb and urllc hybrid services

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Embodiment Construction

[0065] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0066] as Figure 1 Shown is a block diagram of the method of the present invention, comprising the following three processes: in the 5G heterogeneous fusion network region, the construction of a heterogeneous fusion network model composed of base stations and base station users; Establish the maximization utility function according to the heterogeneous fusion network model; The DQN algorithm is used to slice heterogeneous network resources with mixed services of eMBB and URLLC to obtain the best resource scheduling and allocation scheme. Specifically, it is manifested as: establishing a heterogeneous fusion network model composed of base stations and base station users; The resource allocation problem in heterogeneous network with mixed services of eMBB and URLLC is described as a non-convex optimization problem and the optimization function (...

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Abstract

The invention discloses a heterogeneous network resource slicing method with eMBB and URLLC mixed services, belonging to the technical field of mobile communication, comprising the following steps: constructing a heterogeneous fusion composed of base stations and base station users in a 5G heterogeneous fusion network area Network model; establish the maximum utility function based on the heterogeneous fusion network model; use the DQN algorithm to obtain the best resource scheduling and allocation scheme for heterogeneous network resource slices with eMBB and URLLC hybrid services. The invention solves the problem of bandwidth allocation in wireless resources, uses the DQN algorithm in deep reinforcement learning to solve the problem of resource scheduling and allocation between eMBB and URLLC services in a 5G heterogeneous fusion network, and can guarantee eMBB and URLLC services The QoE improves the spectrum efficiency SE and improves the overall utility of the system.

Description

Technical field [0001] The present invention belongs to the field of mobile communication technology, specifically relates to a heterogeneous network resource slicing method having a hybrid service of eMBB and URLLC. Background [0002] With the explosive growth of mobile network data, fifth-generation mobile communication technology has matured to meet a variety of service needs. The most typical types of services in the fifth generation of mobile communication networks are: Enhanced Mobile Broadband (eMBB), Large Scale Machine Type Communication (mMTC), Ultra Reliable and Low Latency Communication (URLLC) services. 5G networks provide resources for the three types of users mentioned above in a sliced manner. When slicing, the base station can adjust the allocation of resources on demand according to the dynamic needs of the user's service type, and can adapt to different network states. Slicing network resources can realize the flexible allocation of 5G network data diversion m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W72/04H04W72/08G06N3/08H04W72/54
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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