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access icon free Joint design of device to device caching strategy and incentive scheme in mobile edge networks

Caching at the user devices is a key technology to alleviate backhaul load and improve users' quality of experience in mobile edge networks. However, due to the concern of privacy and limited battery life, users are not willing to share their resources. In this study, the authors jointly design the caching strategy and incentive scheme to encourage the users to share their storage resources and improve the social welfare of the cellular network. First, the user equipments (UEs) are classified into different types according to their preference to share cache resources. Then, based on contract theory, an optimisation problem with necessary constraints is formulated aiming at maximising the base station (BS)'s utility. The reward the BS pays for a UE is based on the total amount of contents it shares with other UEs, which is related to the caching policy of UEs. A heuristic caching strategy is proposed and the optimal contract is obtained. Finally, the system performance of the proposed solution is analysed, simulation results show that the incentive scheme can improve the willingness of users to share contents, and the proposed caching strategy contributes more to the social welfare compared with two baseline caching schemes: fair caching and random caching.

References

    1. 1)
      • 3. Wang, X., Chen, M., Taleb, T., et al: ‘Cache in the air: exploiting content caching and delivery techniques for 5G systems’, IEEE Commun. Mag., 2014, 52, (2), pp. 131139.
    2. 2)
      • 13. Wang, D., Li, H., Wang, S., et al: ‘Mobility aware caching incentive scheme for D2D cellular networks’. Proc. Int. Symp. on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, October 2017, pp. 16.
    3. 3)
      • 18. Breslau, L., Cao, P., Fan, L., et al: ‘Web caching and zipf-like distributions: evidence and implications’. Proc. IEEE Infocom, New York, March 1999, pp. 126134.
    4. 4)
      • 22. Iusem, A.: ‘On the convergence properties of the projected gradient method for convex optimization’, Comput. Appl. Math., 2003, 22, (1), pp. 3752.
    5. 5)
      • 15. Zhou, Z., Feng, X., Gan, X., et al: ‘Data offloading in two-tier networks: a contract design approach’. Proc. Conf. on Global Communications, Austin, December 2014, pp. 45314536.
    6. 6)
      • 5. Gu, J., Wang, W., Huang, A., et al: ‘Proactive storage at caching-enable base stations in cellular networks’. Proc. Int. Symp. on Personal, Indoor, and Mobile Radio Communications (PIMRC), London, September 2013, pp. 15431547.
    7. 7)
      • 7. Blasco, P., Gündüz, D.: ‘Learning-based optimization of cache content in a small cell base station’. Proc. IEEE Int. Conf. on Communications (ICC), Sydney, June 2014, pp. 18971903.
    8. 8)
      • 9. Bai, B., Wang, L., Han, Z., et al: ‘Caching based socially-aware D2D communications in wireless content delivery networks: a hypergraph framework’, IEEE Wirel. Commun., 2016, 23, (4), pp. 7481.
    9. 9)
      • 16. He, C., Lu, W., Peng, H., et al: ‘Cooperative spectrum sharing based on contract theory with optimal bandwidth and power allocation’. Proc. Int. Conf. on Wireless Communications and Mobile Computing (IWCMC), Valencia, July 2017, pp. 346350.
    10. 10)
      • 11. Bogliolo, A., Polidori, P., Aldini, A., et al: ‘Virtual currency and reputation-based cooperation incentives in user-centric networks’. Proc. Conf. on Int. Wireless Communications and Mobile Computing (IWCMC), Limassol, August 2012, pp. 895900.
    11. 11)
      • 24. Gao, L., Wang, X., Xu, Y., et al: ‘Spectrum trading in cognitive radio networks: a contract-theoretic modeling approach’, IEEE J. Sel. Areas Commun., 2011, 29, (4), pp. 843855.
    12. 12)
      • 14. Zhang, Y., Pan, M., Song, L., et al: ‘A survey of contract theory-based incentive mechanism design in wireless networks’, IEEE Wirel. Commun., 2017, 24, (3), pp. 8085.
    13. 13)
      • 8. Golrezaei, N., Shanmugam, K., Dimakis, A.G., et al: ‘FemtoCaching: wireless video content delivery through distributed caching helpers’. Proc. IEEE Infocom, Orlando, March 2012, pp. 11071115.
    14. 14)
      • 2. Wang, S., Zhang, X., Zhang, Y., et al: ‘A survey on mobile edge networks: convergence of computing, caching and communications’, IEEE Access, 2017, 5, pp. 67576779.
    15. 15)
      • 4. Ahlehagh, H., Dey, S.: ‘Video-aware scheduling and caching in the radio access network’, IEEE/ACM Trans. Netw., 2014, 22, (5), pp. 14441462.
    16. 16)
      • 19. Chen, Z., Liu, Y., Zhou, B., et al: ‘Caching incentive design in wireless D2D networks: a Stackelberg game approach’. Proc. IEEE Int. Conf. on Communications (ICC), Kuala Lumpur, May 2016, pp. 16.
    17. 17)
      • 1. ‘Visual Networking Index’, Available at http://www.cisco.com, accessed 27 February 2017.
    18. 18)
      • 25. Duan, L., Gao, L., Huang, J.: ‘Cooperative spectrum sharing: a contract-based approach’, IEEE Trans. Mobile Comput., 2014, 13, (1), pp. 174187.
    19. 19)
      • 6. Wang, S., Zhang, X., Yang, K., et al: ‘Distributed edge caching scheme considering the tradeoff between the diversity and redundancy of cached content’. Proc. IEEE/CIC Int. Conf. on Communications in China (ICCC), Shenzhen, November 2015, pp. 15.
    20. 20)
      • 10. Chen, B., Yang, C., Wang, G.: ‘Cooperative device-to-device communications with caching’. Proc. Conf. on Vehicular Technology (VTC Spring), Nanjing, May 2016, pp. 15.
    21. 21)
      • 17. Liu, T., Li, J., Shu, F., et al: ‘Resource trading for a small-cell caching system: a contract-theory based approach’. Proc. IEEE Conf. on Wireless Communications and Networking (WCNC), San Francisco, May 2017, pp. 16.
    22. 22)
      • 21. Zhang, Y., Song, L., Saad, W., et al: ‘Contract-based incentive mechanisms for device-to-device communications in cellular networks’, IEEE J. Sel. Areas Commun., 2015, 33, (10), pp. 21442155.
    23. 23)
      • 12. Chen, Z., Liu, Y., Zhou, B., et al: ‘Caching incentive design in wireless D2D networks: a Stackelberg game approach’. Proc. IEEE Int. Conf. on Communications (ICC), Kuala Lumpur, May 2016, pp. 16.
    24. 24)
      • 20. Lectures in Contract Theory’. Available at http://faculty.haas.berkeley.edu/stadelis/econ_206_notes_2006.pdf, accessed March 2018.
    25. 25)
      • 23. Bolton, P., Dewatripont, M.: ‘Contract theory’ (The MIT Press, Cambridge, MA, 2005).
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