Centralized Spectrum Sharing Using Reinforcement Learning

Yang Miao; Ye Neng; Li Jianguo; Yu Hanxiao

doi:10.1109/ICISCE.2016.273

Centralized Spectrum Sharing Using Reinforcement Learning

Yang Miao, Ye Neng, Li Jianguo, Yu Hanxiao

School of Cyberspace Science and Technology

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

Abstract

Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.

Original language	English
Title of host publication	Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Editors	Shaozi Li, Yun Cheng, Ying Dai
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1275-1280
Number of pages	6
ISBN (Electronic)	9781509025350
DOIs	https://doi.org/10.1109/ICISCE.2016.273
Publication status	Published - 31 Oct 2016
Event	3rd International Conference on Information Science and Control Engineering, ICISCE 2016 - Beijing, China Duration: 8 Jul 2016 → 10 Jul 2016

Publication series

Name	Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

Conference

Conference	3rd International Conference on Information Science and Control Engineering, ICISCE 2016
Country/Territory	China
City	Beijing
Period	8/07/16 → 10/07/16

Keywords

Centralized
LTE-U
Reinforcement learning
Spectrum sharing

Access to Document

10.1109/ICISCE.2016.273

Cite this

Miao, Y., Neng, Y., Jianguo, L., & Hanxiao, Y. (2016). Centralized Spectrum Sharing Using Reinforcement Learning. In S. Li, Y. Cheng, & Y. Dai (Eds.), Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 (pp. 1275-1280). Article 7726370 (Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICISCE.2016.273

Miao, Yang ; Neng, Ye ; Jianguo, Li et al. / Centralized Spectrum Sharing Using Reinforcement Learning. Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016. editor / Shaozi Li ; Yun Cheng ; Ying Dai. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1275-1280 (Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016).

@inproceedings{a1bec517e3c44af195543a37ef41b26c,

title = "Centralized Spectrum Sharing Using Reinforcement Learning",

abstract = "Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.",

keywords = "Centralized, LTE-U, Reinforcement learning, Spectrum sharing",

author = "Yang Miao and Ye Neng and Li Jianguo and Yu Hanxiao",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 ; Conference date: 08-07-2016 Through 10-07-2016",

year = "2016",

month = oct,

day = "31",

doi = "10.1109/ICISCE.2016.273",

language = "English",

series = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",

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

pages = "1275--1280",

editor = "Shaozi Li and Yun Cheng and Ying Dai",

booktitle = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",

address = "United States",

}

Miao, Y, Neng, Y, Jianguo, L & Hanxiao, Y 2016, Centralized Spectrum Sharing Using Reinforcement Learning. in S Li, Y Cheng & Y Dai (eds), Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016., 7726370, Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1275-1280, 3rd International Conference on Information Science and Control Engineering, ICISCE 2016, Beijing, China, 8/07/16. https://doi.org/10.1109/ICISCE.2016.273

Centralized Spectrum Sharing Using Reinforcement Learning. / Miao, Yang; Neng, Ye; Jianguo, Li et al.
Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016. ed. / Shaozi Li; Yun Cheng; Ying Dai. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1275-1280 7726370 (Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016).

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

TY - GEN

T1 - Centralized Spectrum Sharing Using Reinforcement Learning

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AU - Jianguo, Li

AU - Hanxiao, Yu

PY - 2016/10/31

Y1 - 2016/10/31

N2 - Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.

AB - Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.

KW - Centralized

KW - LTE-U

KW - Reinforcement learning

KW - Spectrum sharing

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M3 - Conference contribution

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T3 - Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

SP - 1275

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BT - Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

A2 - Li, Shaozi

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Information Science and Control Engineering, ICISCE 2016

Y2 - 8 July 2016 through 10 July 2016

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Miao Y, Neng Y, Jianguo L, Hanxiao Y. Centralized Spectrum Sharing Using Reinforcement Learning. In Li S, Cheng Y, Dai Y, editors, Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1275-1280. 7726370. (Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016). doi: 10.1109/ICISCE.2016.273

Centralized Spectrum Sharing Using Reinforcement Learning

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