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

Sriyananda, M. G. S.; Bennis, Mehdi (2017-08-09)
 
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URL:
https://doi.org/10.1109/LWC.2017.2734082

Sriyananda, M. G. S.
Bennis, Mehdi
Institute of Electrical and Electronics Engineers
09.08.2017

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

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doi:https://doi.org/10.1109/LWC.2017.2734082
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https://urn.fi/URN:NBN:fi-fe2018080933565
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Abstract

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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