Channel-aware signal-centric medium access control for machine type communications

Hsiao Ting Chiu; Rung-Hung Gau

doi:10.1109/WCNC.2018.8376969

Channel-aware signal-centric medium access control for machine type communications

Hsiao Ting Chiu
, Rung-Hung Gau

Institute of Communications Engineering

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

Abstract

In this paper, we propose the green stopping signal-centric predictive polling algorithm for machine type communications. Based on Markov optimal stopping theory, the green stopping signal-centric predictive polling algorithm exploits channel state information to reduce the energy consumption of wireless communications without knowing the mean channel gain. To reduce the computational complexity, the proposed algorithm is built upon a closed-form optimal stopping rule. Furthermore, we derive analytical results that characterize the optimal stopping time when the proposed green stopping signal-centric predictive polling algorithm is used. Simulation results show that the proposed approach could significantly reduce the average energy consumption at machines and the average signal prediction error at the base station in comparison with alternative approaches.

Original language	English
Title of host publication	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538617342
DOIs	https://doi.org/10.1109/WCNC.2018.8376969
State	Published - 8 Jun 2018
Event	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain Duration: 15 Apr 2018 → 18 Apr 2018

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2018-April
ISSN (Print)	1525-3511

Conference

Conference	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/Territory	Spain
City	Barcelona
Period	15/04/18 → 18/04/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Channel state information
Machine type communications
Medium access control
Optimal stopping

Access to Document

10.1109/WCNC.2018.8376969

Cite this

Chiu, H. T., & Gau, R.-H. (2018). Channel-aware signal-centric medium access control for machine type communications. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (pp. 1-6). (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2018.8376969

@inproceedings{a8bfe8c26eea42d0b1ab376495bb72ad,

title = "Channel-aware signal-centric medium access control for machine type communications",

abstract = "In this paper, we propose the green stopping signal-centric predictive polling algorithm for machine type communications. Based on Markov optimal stopping theory, the green stopping signal-centric predictive polling algorithm exploits channel state information to reduce the energy consumption of wireless communications without knowing the mean channel gain. To reduce the computational complexity, the proposed algorithm is built upon a closed-form optimal stopping rule. Furthermore, we derive analytical results that characterize the optimal stopping time when the proposed green stopping signal-centric predictive polling algorithm is used. Simulation results show that the proposed approach could significantly reduce the average energy consumption at machines and the average signal prediction error at the base station in comparison with alternative approaches.",

keywords = "Channel state information, Machine type communications, Medium access control, Optimal stopping",

author = "Chiu, \{Hsiao Ting\} and Rung-Hung Gau",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 ; Conference date: 15-04-2018 Through 18-04-2018",

year = "2018",

month = jun,

day = "8",

doi = "10.1109/WCNC.2018.8376969",

language = "English",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

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

pages = "1--6",

booktitle = "2018 IEEE Wireless Communications and Networking Conference, WCNC 2018",

address = "美國",

}

Chiu, HT & Gau, R-H 2018, Channel-aware signal-centric medium access control for machine type communications. in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. IEEE Wireless Communications and Networking Conference, WCNC, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, 15/04/18. https://doi.org/10.1109/WCNC.2018.8376969

Channel-aware signal-centric medium access control for machine type communications. / Chiu, Hsiao Ting; Gau, Rung-Hung.
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April).

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

TY - GEN

T1 - Channel-aware signal-centric medium access control for machine type communications

AU - Chiu, Hsiao Ting

AU - Gau, Rung-Hung

PY - 2018/6/8

Y1 - 2018/6/8

N2 - In this paper, we propose the green stopping signal-centric predictive polling algorithm for machine type communications. Based on Markov optimal stopping theory, the green stopping signal-centric predictive polling algorithm exploits channel state information to reduce the energy consumption of wireless communications without knowing the mean channel gain. To reduce the computational complexity, the proposed algorithm is built upon a closed-form optimal stopping rule. Furthermore, we derive analytical results that characterize the optimal stopping time when the proposed green stopping signal-centric predictive polling algorithm is used. Simulation results show that the proposed approach could significantly reduce the average energy consumption at machines and the average signal prediction error at the base station in comparison with alternative approaches.

AB - In this paper, we propose the green stopping signal-centric predictive polling algorithm for machine type communications. Based on Markov optimal stopping theory, the green stopping signal-centric predictive polling algorithm exploits channel state information to reduce the energy consumption of wireless communications without knowing the mean channel gain. To reduce the computational complexity, the proposed algorithm is built upon a closed-form optimal stopping rule. Furthermore, we derive analytical results that characterize the optimal stopping time when the proposed green stopping signal-centric predictive polling algorithm is used. Simulation results show that the proposed approach could significantly reduce the average energy consumption at machines and the average signal prediction error at the base station in comparison with alternative approaches.

KW - Channel state information

KW - Machine type communications

KW - Medium access control

KW - Optimal stopping

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U2 - 10.1109/WCNC.2018.8376969

DO - 10.1109/WCNC.2018.8376969

M3 - Conference contribution

AN - SCOPUS:85049203811

T3 - IEEE Wireless Communications and Networking Conference, WCNC

SP - 1

EP - 6

BT - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

Y2 - 15 April 2018 through 18 April 2018

ER -

Channel-aware signal-centric medium access control for machine type communications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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