University of Oulu

M. G. S. Sriyananda and M. Bennis, "Learning-Based Small Cell Traffic Balancing Over Licensed and Unlicensed Bands," in IEEE Wireless Communications Letters, vol. 6, no. 5, pp. 694-697, Oct. 2017. doi: 10.1109/LWC.2017.2734082

Learning-based small cell traffic balancing over licensed and unlicensed bands

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Author: Sriyananda, M. G. S.1; Bennis, Mehdi2,3
Organizations: 1Department of Electrical and Computer Engineering, University of Western Ontario, London, ON N6A 5B9, Canada
2Department of Communications Engineering, University of Oulu , FI-90014 Oulu, Finland
3Department of Computer Engineering, Kyung Hee University, Seoul, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-09


Unlicensed spectrum can be utilized by long term evolution (LTE) cellular systems to satisfy high throughput requirements. In this letter, a regret-based learning aided downlink traffic balancing scheme for licensed and unlicensed bands is proposed while ensuring fair coexistence of LTE-unlicensed (LTE-U) and Wi-Fi devices in the same band. It is further improved with the optimization of energy efficiency (EE) for small cell (SC) and macrocell scenarios followed by an inter-SC interference management mechanism with better performance over the existing literature. Compared to the cases with fixed airtime, up to 8%-10% superior results are shown for the scenarios of EE and rate maximization, respectively.

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Series: IEEE wireless communications letters
ISSN: 2162-2337
ISSN-E: 2162-2345
ISSN-L: 2162-2337
Volume: 6
Issue: 5
Pages: 694 - 697
DOI: 10.1109/LWC.2017.2734082
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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