Next Article in Journal
Aircraft and Ship Velocity Determination in Sentinel-2 Multispectral Images
Next Article in Special Issue
A Hash-Based RFID Authentication Mechanism for Context-Aware Management in IoT-Based Multimedia Systems
Previous Article in Journal
Micrometer Scale Resolution Limit of a Fiber-Coupled Electro-Optic Probe
Open AccessArticle

Q-Learning Based Fair and Efficient Coexistence of LTE in Unlicensed Band

Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea
Yonsei Institute of Convergence Technology, Yonsei University, Incheon 21983, Korea
Author to whom correspondence should be addressed.
Sensors 2019, 19(13), 2875;
Received: 7 May 2019 / Revised: 17 June 2019 / Accepted: 25 June 2019 / Published: 28 June 2019
The increased demand for spectrum resources for multimedia communications and a limited licensed spectrum have led to widespread concern regarding the operation of long term evolution (LTE) in the unlicensed (LTE-U) band for internet of things (IoT) systems. Because Wi-Fi and LTE are diverse with dissimilar physical and link layer configurations, several solutions to achieve an efficient and fair coexistence have been proposed. Most of the proposed solutions facilitate a fair coexistence through a discontinuous transmission using a duty cycling or contention mechanism and an efficient coexistence through a clean channel selection. However, they are constrained only by fairness or efficient coexistence but not both. Herein, we propose joint adaptive duty cycling (ADC) and dynamic channel switch (DCS) mechanisms. The ADC mechanism supports a fair channel access opportunity by muting certain numbers of subframes for Wi-Fi users whereas the DCS mechanism offers more access opportunities for LTE-U and Wi-Fi users by preventing LTE-U users from occupying a crowded channel for a longer time. To support these mechanisms in a dynamic environment, LTE-U for IoT applications is enhanced using Q-learning techniques for an automatic selection of the appropriate combination of muting period and channel. Simulation results show the fair and efficient coexistence achieved from using the proposed mechanism. View Full-Text
Keywords: efficient; fair; IoT; multimedia traffic; LTE-U; spectrum; Q-learning; Wi-Fi efficient; fair; IoT; multimedia traffic; LTE-U; spectrum; Q-learning; Wi-Fi
Show Figures

Figure 1

MDPI and ACS Style

Bajracharya, R.; Shrestha, R.; Kim, S.W. Q-Learning Based Fair and Efficient Coexistence of LTE in Unlicensed Band. Sensors 2019, 19, 2875.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop