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A Q-learning scheme for fair coexistence between LTE and Wi-Fi in unlicensed spectrum

Vasilis Maglogiannis (UGent) , Dries Naudts (UGent) , Adnan Shahid (UGent) and Ingrid Moerman (UGent)
(2018) IEEE ACCESS. 6. p.27278-27293
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Abstract
During the last years, the growth of wireless traffic pushed the wireless community to search for solutions that can assist in a more efficient management of the spectrum. Toward this direction, the operation of long term evolution (LTE) in unlicensed spectrum (LTE-U) has been proposed. Targeting a global solution that respects the regional regulations worldwide, 3GPP has published the LTE licensed assisted access (LAA) standard. According to LTE LAA, a listen before talk (LBT) procedure must precede any LTE transmission burst in the unlicensed spectrum. However, the proposed standard may cause coexistence issues between LTE and Wi-Fi, especially in the case that the latter does not use frame aggregation. Toward the provision of a balanced channel access, we have proposed mLTE-U that is an adaptive LTE LBT scheme. According to mLTE-U, LTE uses a variable transmission opportunity (TXOP), followed by a variable muting period. This muting period can be exploited by co-located Wi-Fi networks to gain access to the medium. In this paper, the system model of the mLTE-U scheme in coexistence with Wi-Fi is studied. In addition, mLTE-U is enhanced with a Q-learning technique that is used for autonomous selection of the appropriate combinations of TXOP and muting period that can provide fair coexistence between co-located mLTE-U and Wi-Fi networks. Simulation results showcase the performance of the proposed model and reveal the benefit of using Q-learning for self-adaptation of mLTE-U to the changes of the dynamic wireless environment, toward fair coexistence with Wi-Fi. Finally, the Q-learning mechanism is compared with conventional selection schemes showing the superior performance of the proposed model over less complex mechanisms.
Keywords
LTE, Wi-Fi, Q-learning, fairness, coexistence, LTE unlicensed, transmission opportunity, muting period

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Please use this url to cite or link to this publication:

Chicago
Maglogiannis, Vasileios, Dries Naudts, Adnan Shahid, and Ingrid Moerman. 2018. “A Q-learning Scheme for Fair Coexistence Between LTE and Wi-Fi in Unlicensed Spectrum.” Ieee Access 6: 27278–27293.
APA
Maglogiannis, V., Naudts, D., Shahid, A., & Moerman, I. (2018). A Q-learning scheme for fair coexistence between LTE and Wi-Fi in unlicensed spectrum. IEEE ACCESS, 6, 27278–27293.
Vancouver
1.
Maglogiannis V, Naudts D, Shahid A, Moerman I. A Q-learning scheme for fair coexistence between LTE and Wi-Fi in unlicensed spectrum. IEEE ACCESS. Piscataway: Ieee-inst Electrical Electronics Engineers Inc; 2018;6:27278–93.
MLA
Maglogiannis, Vasileios et al. “A Q-learning Scheme for Fair Coexistence Between LTE and Wi-Fi in Unlicensed Spectrum.” IEEE ACCESS 6 (2018): 27278–27293. Print.
@article{8566955,
  abstract     = {During the last years, the growth of wireless traffic pushed the wireless community to search for solutions that can assist in a more efficient management of the spectrum. Toward this direction, the operation of long term evolution (LTE) in unlicensed spectrum (LTE-U) has been proposed. Targeting a global solution that respects the regional regulations worldwide, 3GPP has published the LTE licensed assisted access (LAA) standard. According to LTE LAA, a listen before talk (LBT) procedure must precede any LTE transmission burst in the unlicensed spectrum. However, the proposed standard may cause coexistence issues between LTE and Wi-Fi, especially in the case that the latter does not use frame aggregation. Toward the provision of a balanced channel access, we have proposed mLTE-U that is an adaptive LTE LBT scheme. According to mLTE-U, LTE uses a variable transmission opportunity (TXOP), followed by a variable muting period. This muting period can be exploited by co-located Wi-Fi networks to gain access to the medium. In this paper, the system model of the mLTE-U scheme in coexistence with Wi-Fi is studied. In addition, mLTE-U is enhanced with a Q-learning technique that is used for autonomous selection of the appropriate combinations of TXOP and muting period that can provide fair coexistence between co-located mLTE-U and Wi-Fi networks. Simulation results showcase the performance of the proposed model and reveal the benefit of using Q-learning for self-adaptation of mLTE-U to the changes of the dynamic wireless environment, toward fair coexistence with Wi-Fi. Finally, the Q-learning mechanism is compared with conventional selection schemes showing the superior performance of the proposed model over less complex mechanisms.},
  author       = {Maglogiannis, Vasilis and Naudts, Dries and Shahid, Adnan and Moerman, Ingrid},
  issn         = {2169-3536},
  journal      = {IEEE ACCESS},
  keywords     = {LTE,Wi-Fi,Q-learning,fairness,coexistence,LTE unlicensed,transmission opportunity,muting period},
  language     = {eng},
  pages        = {27278--27293},
  publisher    = {Ieee-inst Electrical Electronics Engineers Inc},
  title        = {A Q-learning scheme for fair coexistence between LTE and Wi-Fi in unlicensed spectrum},
  url          = {http://dx.doi.org/10.1109/ACCESS.2018.2829492},
  volume       = {6},
  year         = {2018},
}

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