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

doi:10.1109/GCWkshps58843.2023.10464779

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2023 IEEE Globecom Workshops, GC Wkshps 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	141-146
Number of pages	6
ISBN (Electronic)	9798350370218
DOIs	https://doi.org/10.1109/GCWkshps58843.2023.10464779
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 IEEE Globecom Workshops, GC Wkshps 2023

Conference

Conference	2023 IEEE Globecom Workshops, GC Wkshps 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Keywords

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

Access to Document

10.1109/GCWkshps58843.2023.10464779

Cite this

Sun, W., Xu, H., Wang, H., Chang, S., Sun, S., & Miao, D. (2023). Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 141-146). (2023 IEEE Globecom Workshops, GC Wkshps 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps58843.2023.10464779

@inproceedings{05f72d7486dd4812a73d5faf19cef20f,

title = "Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning",

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.",

keywords = "6G, DQN, Integrated Satellite-Terrestrial Network, Mathematic Model, User-Centric, Wireless Resource Allocation",

author = "Wanfei Sun and Hui Xu and Hucheng Wang and Shiyuan Chang and Shaohui Sun and Deshan Miao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Globecom Workshops, GC Wkshps 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GCWkshps58843.2023.10464779",

language = "English",

series = "2023 IEEE Globecom Workshops, GC Wkshps 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "141--146",

booktitle = "2023 IEEE Globecom Workshops, GC Wkshps 2023",

address = "United States",

}

Sun, W, Xu, H, Wang, H, Chang, S, Sun, S & Miao, D 2023, Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning. in 2023 IEEE Globecom Workshops, GC Wkshps 2023. 2023 IEEE Globecom Workshops, GC Wkshps 2023, Institute of Electrical and Electronics Engineers Inc., pp. 141-146, 2023 IEEE Globecom Workshops, GC Wkshps 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GCWkshps58843.2023.10464779

Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning. / Sun, Wanfei; Xu, Hui; Wang, Hucheng et al.
2023 IEEE Globecom Workshops, GC Wkshps 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 141-146 (2023 IEEE Globecom Workshops, GC Wkshps 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on User-Centric Wireless Resource Allocation of IS TN Based on Reinforcement Learning

AU - Sun, Wanfei

AU - Xu, Hui

AU - Wang, Hucheng

AU - Chang, Shiyuan

AU - Sun, Shaohui

AU - Miao, Deshan

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - 6G

KW - DQN

KW - Integrated Satellite-Terrestrial Network

KW - Mathematic Model

KW - User-Centric

KW - Wireless Resource Allocation

UR - http://www.scopus.com/inward/record.url?scp=85190271522&partnerID=8YFLogxK

U2 - 10.1109/GCWkshps58843.2023.10464779

DO - 10.1109/GCWkshps58843.2023.10464779

M3 - Conference contribution

AN - SCOPUS:85190271522

T3 - 2023 IEEE Globecom Workshops, GC Wkshps 2023

SP - 141

EP - 146

BT - 2023 IEEE Globecom Workshops, GC Wkshps 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Globecom Workshops, GC Wkshps 2023

Y2 - 4 December 2023 through 8 December 2023

ER -

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this