LTE-U and Wi-Fi Coexistence Algorithm Based on Q-Learning in Multi-Channel

Yuhan Su, Xiaojiang Du, Lianfen Huang, Zhibin Gao, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

Abstract

Due to the lack of resources in the low spectrum, long term evolution (LTE) in unlicensed spectrum (LTE-U) technology has been proposed to extend LTE to unlicensed spectrum. LTE-U undertakes the task of streaming data traffic for licensed spectrum, which can greatly enhance the capacity of the system. However, the introduction of LTE-U technology also gives rise to the problem of coexistence with Wi-Fi systems. In this paper, an LTE-U and Wi-Fi coexistence algorithm is proposed in multi-channel scenarios based on Q-learning. By taking the idea of alternately transferring data in LTE-U and Wi-Fi, the algorithm takes into account both the fairness and the performance of the system and optimizes the duty cycle. The simulation results show that the proposed algorithm can effectively improve the throughput of the system in the premise of ensuring fairness.

Original languageEnglish
Pages (from-to)13644-13652
Number of pages9
JournalIEEE Access
Volume6
DOIs
StatePublished - Feb 9 2018

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science
  • General Materials Science

Keywords

  • Long term evolution (LTE)-U
  • Q-Learning
  • Wi-Fi
  • coexistence algorithm
  • reinforcement learning

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