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DM-CSAT: a LTE-U/Wi-Fi coexistence solution based on reinforcement learning

Author

Listed:
  • Pedro M. Santana

    (Samsung R&D Institute (SIDIA))

  • Vicente A. Sousa

    (Federal University of Rio Grande do Norte (UFRN))

  • Fuad M. Abinader

    (Samsung R&D Institute (SIDIA))

  • José M. C. Neto

    (Federal University of Rio Grande do Norte (UFRN))

Abstract

Recent literature demonstrated promising results of Long-Term Evolution (LTE) deployments over unlicensed bands when coexisting with Wi-Fi networks via the Duty-Cycle (DC) approach. However, it is known that performance in coexistence is strongly dependent on traffic patterns and on the duty-cycle ON–OFF rate of LTE. Most DC solutions rely on static coexistence parameters configuration, hence real-life performance in dynamically varying scenarios might be affected. Advanced reinforcement learning techniques may be used to adjust DC parameters towards efficient coexistence, and we propose a Q-learning Carrier-Sensing Adaptive Transmission mechanism which adapts LTE duty-cycle ON–OFF time ratio to the transmitted data rate, aiming at maximizing the Wi-Fi and LTE-Unlicensed (LTE-U) aggregated throughput. The problem is formulated as a Markov decision process, and the Q-learning solution for finding the best LTE-U ON–OFF time ratio is based on the Bellman’s equation. We evaluate the performance of the proposed solution for different traffic load scenarios using the ns-3 simulator. Results demonstrate the benefits from the adaptability to changing circumstances of the proposed method in terms of Wi-Fi/LTE aggregated throughput, as well as achieving a fair coexistence.

Suggested Citation

  • Pedro M. Santana & Vicente A. Sousa & Fuad M. Abinader & José M. C. Neto, 2019. "DM-CSAT: a LTE-U/Wi-Fi coexistence solution based on reinforcement learning," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(4), pages 615-626, August.
    • Handle: RePEc:spr:telsys:v:71:y:2019:i:4:d:10.1007_s11235-018-00535-7
    DOI: 10.1007/s11235-018-00535-7
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    References listed on IDEAS

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    1. Vasilis Maglogiannis & Dries Naudts & Adnan Shahid & Ingrid Moerman, 2018. "An adaptive LTE listen-before-talk scheme towards a fair coexistence with Wi-Fi in unlicensed spectrum," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(4), pages 701-721, August.
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    More about this item

    Keywords

    LTE; LTE-LAA; LTE-U; Wi-Fi; Q-Learning;
    All these keywords.

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