Learning-based coexistence for LTE operation in unlicensed bands
Tipo de documentoTexto en actas de congreso
Fecha de publicación2015
Condiciones de accesoAcceso restringido por política de la editorial
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promising enhancement to increase the capacity of LTE networks and meet the requirements foreseen for future systems. Nevertheless, coexistence among several LTE-U and/or Wi-Fi systems in the same band is a key technical challenge to be resolved. In this context, this paper focuses on the channel selection functionality for LTE-U enabled cells to decide the most appropriate channel to use for downlink traffic offloading in the unlicensed band. A distributed Q-learning mechanism that exploits prior experience is proposed to support this functionality, thus enabling coexistence with other systems in a smart and efficient way. The behavior of the proposed approach is illustrated in an indoor scenario with small cells from two different operators. A fully decentralized approach, where the channel selection decision-making is performed independently by each small cell in the scenario, is considered to initially assess the potentials of the Q-learning solution. Promising results are obtained revealing that the throughput achieved by the proposed approach can be between 96% and 99% of the optimum ideal achievable throughput.
CitaciónSallent, J., Perez, J., Ferrús, R., Agusti, R. Learning-based coexistence for LTE operation in unlicensed bands. A: IEEE International Conference on Communications. "2015 ICC - 2015 IEEE International Conference on Communication Workshop: London, United Kingdom: 8-12 June 2015". Londres: 2015, p. 2307-2313.
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