Advertisement

A Channel Selection Method for Device to Device (D2D) Communication Using the Mobile Edge Computing (MEC) Paradigm

  • Chung-Ming Huang
  • Rung-Shiang Cheng
  • Hsing-Han Chen
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 264)

Abstract

Nowadays, LTE (Long Term Evolution) had been developed stably and can support large scale communication services to mobile devices, the traffic offloading in core network and mobile devices is still an issue. Besides, the intensive collision between mobile devices is also an issue because they need to compete the finite network resources with each other. Mobile Edge Computing (MEC) is a promising technique applied to network edge, which can assist the edge device to offload the data traffic and decrease the gigantic computation effort through sending the complicated tasks to remote MEC before sending to core network. To solve the traffic and location issues, this paper proposed a channel selection scheme for MEC-assisted Device to Device Communication Offloading (MD2DO) which can help the peered mobile devices to confirm the location of the mobile device and efficiently have Wi-Fi D2D through channel selection for traffic offloading.

Keywords

Mobile edge computing (MEC) Device to device communication (D2D) Channel selection Offloading 

References

  1. 1.
    Suh, D., Ko, H., Pack, S.: Efficiency analysis of WiFi offloading techniques. IEEE Trans. Veh. Technol. 65(5), 3813–3817 (2016)CrossRefGoogle Scholar
  2. 2.
    Rebecchi, F., De Amorim, M.D., Conan, V., Passarella, A., Bruno, R., Conti, M.: Data offloading techniques in cellular networks: a survey. IEEE Commun. Surv. Tutor. 17(2), 580–603 (2015)CrossRefGoogle Scholar
  3. 3.
    Liu, J., Kato, N., Ma, J., Kadowaki, N.: Device-to-device communication in LTE-advanced networks: a survey. IEEE Commun. Surv. Tutor. 17(4), 1923–1940 (2015)CrossRefGoogle Scholar
  4. 4.
    Tehrani, M.N., Uysal, M., Yanikomeroglu, H.: Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions. IEEE Commun. Mag. 52(5), 86–92 (2014)CrossRefGoogle Scholar
  5. 5.
    GPP TS 36.331 V14.4.0 Release 14, Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification, 2017/9Google Scholar
  6. 6.
    Panigrahi, B., Ramamohan, R., Rath, H.K., Simha, A.: Efficient device-to-device (D2D) offloading mechanism in LTE networks. In: Proceedings of 18th IEEE International Symposium on Wireless Personal Multimedia (WPMC) (2015)Google Scholar
  7. 7.
    Xiaofeng, L., Pan, H., Lio, P.: Offloading mobile data from cellular networks through peer-to-peer WiFi communication: a subscribe-and-send architecture. China Commun. 10(6), 35–46 (2013)CrossRefGoogle Scholar
  8. 8.
    Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutor. 19(4), 2322–2358 (2017)CrossRefGoogle Scholar
  9. 9.
    Mach, P., Becvar, Z.: Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun. Surv. Tutor. 19(3), 1628–1656 (2017)CrossRefGoogle Scholar
  10. 10.
    GPP TS 36.360 version 14.0.0 Release 14, LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); LTE-WLAN Aggregation Adaptation Protocol (LWAAP) specification, 2017/4Google Scholar
  11. 11.
    Balan, I., Perez, E., Wegmann, B., Laselva, D.: Self-optimizing adaptive transmission mode selection for LTE-WLAN aggregation. In: Proceedings of Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium, pp. 1–6Google Scholar
  12. 12.
    Al-Kanj, L., Poor, H.V., Dawy, Z.: Optimal cellular offloading via device-to-device communication networks with fairness constraints. IEEE Trans. Wirel. Commun. 13(8), 4628–4643 (2014)CrossRefGoogle Scholar
  13. 13.
    Arani, A.H., Mehbodniya, A., Omidi, M.J., Adachi, F.: Learning-based joint power and channel assignment for hyper dense 5G networks, In: Proceedings of Communications (ICC), 2016 IEEE International Conference, pp. 1–7Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Chung-Ming Huang
    • 1
  • Rung-Shiang Cheng
    • 2
  • Hsing-Han Chen
    • 1
  1. 1.Department of Computer Science and Information EngineeringNational Cheng Kung UniversityTainanTaiwan, R.O.C.
  2. 2.Department of Information TechnologyOverseas Chinese UniversityTaichungTaiwan, R.O.C.

Personalised recommendations