Advertisement

Multi-Games for LTE and WiFi Coexistence over Unlicensed Channels

  • Kenza HamidoucheEmail author
  • Walid Saad
  • Mérouane Debbah
Conference paper
Part of the Static & Dynamic Game Theory: Foundations & Applications book series (SDGTFA)

Abstract

In this paper, a novel framework for optimizing the coexistence between LTE and WiFi over unlicensed bands, is proposed. The problem is modeled using the framework of multi-game theory in which the WiFi users (WUs) are considered as leaders and the small base stations (SBSs) as followers. This multi-game framework encompasses two games of different types. In this regard, the competition between the WUs to access the unlicensed channels is formulated as a one-sided matching game while the power allocation problem of the SBSs is formulated as a noncooperative game. In this multi-game, the SBSs anticipate the channel allocation on the WiFi network and adapt their strategies accordingly while the WUs predict the power allocation of the SBSs. For the latter, the existence of a unique Debreu equilibrium is proved while for the matching game the existence of core stable outcome is shown and a decentralized algorithm that converges to the stable outcome is proposed.

Keywords

Multi-games LTE and WiFi coexistence One-sided matching games 

Notes

Acknowledgements

This research was supported by ERC Starting Grant 305123 MORE (Advanced Mathematical Tools for Complex Network Engineering), the ANR project: WisePhy: Sécurité pour les communications sans fil à la couche physique, the U.S. National Science Foundation under Grants CNS-1513697, CNS-1460316 and AST-1506297.

References

  1. 1.
    F. Liu, E. Bala, E. Erkip, M. C. Beluri, and R. Yang, “Small cell traffic balancing over licensed and unlicensed bands,” IEEE Transactions on Vehicular Technology, vol. PP, no. 99, 2015.Google Scholar
  2. 2.
    R. Zhang, M. Wang, L. X. Cai, Z. Zheng, X. S. Shen, and L.-L. Xie, “LTE-unlicensed: The future of spectrum aggregation for cellular networks,” IEEE Wireless Communications, vol. 22, no. 3, pp. 150–159, 2015.CrossRefGoogle Scholar
  3. 3.
    H. Zhang, X. Chu, W. Guo, and S. Wang, “Coexistence of wi-fi and heterogeneous small cell networks sharing unlicensed spectrum,” IEEE Communications Magazine, vol. 53, no. 3, pp. 158–164, 2015.CrossRefGoogle Scholar
  4. 4.
    Y. Li, F. Baccelli, J. G. Andrews, T. D. Novlan, and J. C. Zhang, “Modeling and analyzing the coexistence of wi-fi and lte in unlicensed spectrum,” arXiv preprint arXiv:1510.01392, 2015.Google Scholar
  5. 5.
    K. Hamidouche, W. Saad, and M. Debbah, “A multi-game framework for harmonized lte-u and wifi coexistence over unlicensed bands,” IEEE Wireless Communications Magazine, Special Issue on LTE in Unlicensed Spectrum, vol. 32, no. 6, pp. 1065–1082, 2014.Google Scholar
  6. 6.
    M. Chen, W. Saad, and C. Yin, “Echo state networks for self-organizing resource allocation in LTE-U with uplink-downlink decoupling,” IEEE Transactions on Wireless Communications, to appear, 2016.Google Scholar
  7. 7.
    Y. Gu, Y. Zhang, L. X. Cai, M. Pan, L. Song, and Z. Han, “Exploiting student-project allocation matching for spectrum sharing in LTE-unlicensed,” in IEEE Global Communications Conference, 2015, pp. 1–6.Google Scholar
  8. 8.
    X. Kang, Y.-K. Chia, S. Sun, and H. F. Chong, “Mobile data offloading through a third-party wifi access point: An operator’s perspective,” IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5340–5351, 2014.CrossRefGoogle Scholar
  9. 9.
    Q. Chen, G. Yu, H. M. Elmaghraby, Z. Ding et al., “Embedding lte-u within wi-fi bands for spectrum efficiency improvement,” arXiv preprint arXiv:1607.04729, 2016.Google Scholar
  10. 10.
    S. Sagari, S. Baysting, D. Saha, I. Seskar, W. Trappe, and D. Raychaudhuri, “Coordinated dynamic spectrum management of lte-u and wi-fi networks,” arXiv preprint arXiv:1507.06881, 2015.Google Scholar
  11. 11.
    A. Abdulkadiroğlu and T. Sönmez, “House allocation with existing tenants,” Journal of Economic Theory, vol. 88, no. 2, pp. 233–260, 1999.CrossRefzbMATHGoogle Scholar
  12. 12.
    W. Lingzhi, H. Cunqing, Z. Rong, and N. Rui, “Online channel selection and user association in high-density wifi networks,” in International Conference on Communications (ICC), 2015, pp. 1571–1576.Google Scholar
  13. 13.
    G. Debreu, “A social equilibrium existence theorem,” Proceedings of the National Academy of Sciences of the United States of America, vol. 38, no. 10, p. 886, 1952.Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kenza Hamidouche
    • 1
    • 2
    Email author
  • Walid Saad
    • 2
  • Mérouane Debbah
    • 1
    • 3
  1. 1.LANEAS Group, CentraleSup’elecUniversit’e Paris-SaclayGif-sur-YvetteFrance
  2. 2.Wireless@VT, Bradley Department of Electrical and Computer EngineeringVirginia TechBlacksburgUSA
  3. 3.Mathematical and Algorithmic Sciences LabHuawei France R&DParisFrance

Personalised recommendations