Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning

Wanfei Sun, Hui Xu, Hucheng Wang, Shiyuan Chang, Shaohui Sun, Deshan Miao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Wireless resource allocation is one of the difficulties of 6G integrated satellite-terrestrial network (ISTN), which will become one of the important feature of 6G wireless networks. Different from the traditional two-stage resource allocation method of selecting the access network type and allocating resources, this paper proposes a single-stage user-centric wireless resource allocation method for ISTN, which comprehensively gathers the user service demand and the available wireless resources per area, and executes the system-optimal integrated scheduling and allocation based on reinforcement learning. We define the important network functions and basic procedure of ISTN.

Original languageEnglish
Title of host publication2023 IEEE Globecom Workshops, GC Wkshps 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-146
Number of pages6
ISBN (Electronic)9798350370218
DOIs
Publication statusPublished - 2023
Event2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia
Duration: 4 Dec 20238 Dec 2023

Publication series

Name2023 IEEE Globecom Workshops, GC Wkshps 2023

Conference

Conference2023 IEEE Globecom Workshops, GC Wkshps 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period4/12/238/12/23

Keywords

  • 6G
  • DQN
  • Integrated Satellite-Terrestrial Network
  • Mathematic Model
  • User-Centric
  • Wireless Resource Allocation

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