Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

An Access Algorithm Capable of Predicting Contention Window in LAA Networks

Authors
Kuochih Chu, TzuChi Huang, YuHong Deng
Corresponding Author
Kuochih Chu
Available Online December 2017.
DOI
https://doi.org/10.2991/ecae-17.2018.54How to use a DOI?
Keywords
LAA; LTE; Wi-Fi
Abstract

In recent years, various novel services appear in Long Term Evolution (LTE) networks to attract many users but cannot satisfy requirements of users with the available network bandwidth. However, most countries have no licensed spectrum available to LTE networks. To resolve this problem and compete Wi-Fi, 3rd Generation Partnership Project (3GPP) proposes the Licensed Assisted Access (LAA) to make LTE networks work on unlicensed bands. In this paper, we do some research on LAA related mechanisms and propose a new algorithm for it. We use simulations to show that our proposal can give LTE networks lower average collision times and average delay time than LAA. Our algorithm is capable of improving LAA in the future.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
978-94-6252-458-3
ISSN
2352-5401
DOI
https://doi.org/10.2991/ecae-17.2018.54How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kuochih Chu
AU  - TzuChi Huang
AU  - YuHong Deng
PY  - 2017/12
DA  - 2017/12
TI  - An Access Algorithm Capable of Predicting Contention Window in LAA Networks
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 253
EP  - 256
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.54
DO  - https://doi.org/10.2991/ecae-17.2018.54
ID  - Chu2017/12
ER  -