MD2DO: A Channel Selection Method for Device to Device Communication Using the Mobile Edge Computing (MEC) Paradigm


Nowadays, with rapid development of technology and hardware, mobile devices have become an important part of people’s daily life. Although 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. The simulation results proved that the MD2DO method decreases the collisions between the mobile devices through the efficiently channel selection and enhances the network performance.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13


  1. 1.

    Suh D, Ko H, Pack S (2016) Efficiency analysis of WiFi offloading techniques. IEEE Trans Veh Technol 65(5):3813–3817

  2. 2.

    Rebecchi F, De Amorim MD, Conan V, Passarella A, Bruno R, Conti M (2015) Data offloading techniques in cellular networks: A survey. IEEE Commun Surv Tutor 17(2):580-603

    Google Scholar 

  3. 3.

    He Y, Chen M, Ge B, Guizani M (2016) On WiFi offloading in heterogeneous networks: Various incentives and trade-off strategies. IEEE Commun Surv Tutor 18(4):2345–2385

    Google Scholar 

  4. 4.

    Liu J, Kato N, Ma J, Kadowaki N (2015) Device-to-device communication in LTE-advanced networks: A survey. IEEE Commun Surv Tutor 17(4):1923–1940

    Article  Google Scholar 

  5. 5.

    Tehrani MN, Uysal M, Yanikomeroglu H (2014) Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions. IEEE Commun Mag 52(5):86–92

  6. 6.

    Panigrahi B, Ramamohan R, Rath HK, Simha A (2015) Efficient device-to-device (D2D) offloading mechanism in LTE networks. Proceedings of the 18th IEEE International Symposium on Wireless Personal Multimedia communications (WPMC 2015), Hyderabad, India, pp 77

  7. 7.

    Xu D, Li Y, Li J, Ahmed M, Hui P (2017) Joint topology control and resource allocation for network coding enabled D2D traffic offloading. IEEE Access 5:22916–22926

    Article  Google Scholar 

  8. 8.

    Asadi A, Mancuso V (2013) WiFi direct and LTE D2D in action. In: Proceedings of Wireless Days (WD). Proceedings of the 12th International Federation for Information Processing (2013 IFIP), Valencia, Spain, pp 1–8

  9. 9.

    Xiaofeng L, Pan H, Lio P (2013) Offloading mobile data from cellular networks through peer-to-peer WiFi communication: A subscribe-and-send architecture. China Commun 10(6):35–46

    Article  Google Scholar 

  10. 10.

    Tian F, Liu B, Xiong J, Gui L (2016) Movement-based incentive for cellular traffic offloading through D2D communications. Proceedings of the 20th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2016), Nara, Japan, pp 1–5

  11. 11.

    Hu W, Cao G (2017) Quality-aware traffic offloading in wireless networks. IEEE Transactions on Mobile Computing 16(11):3182–3195

    Article  Google Scholar 

  12. 12.

    3GPP TS 36.331 V14.4.0 Release 14 (2017) Technical specification group radio access network; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol specification, Franch

  13. 13.

    3GPP TS 36.360 version 14.0.0 Release 14 (2017) LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); LTE-WLAN Aggregation Adaptation Protocol (LWAAP) specification

  14. 14.

    López-Pérez D et al (2016) Long term evolution-wireless local area network aggregation flow control. IEEE Access 4:9860–9869

    Article  Google Scholar 

  15. 15.

    Mao Y, You C, Zhang J, Huang K, Letaief KB (2017) A survey on mobile edge computing: The communication perspective. IEEE Commun Surv Tutor 19(4):2322–2358

    Article  Google Scholar 

  16. 16.

    Mach P, Becvar Z (2017) Mobile edge computing: A survey on architecture and computation offloading. IEEE Commun Surv Tutor 19(3):1628–1656

    Article  Google Scholar 

  17. 17.

    Ahmed E, Rehmani MH (May 2017) Mobile edge computing: opportunities, solutions, and challenges. Future Gener Comp Sy 70:59–63

    Article  Google Scholar 

  18. 18.

    Cui Q et al (2014) A unified protocol stack solution for LTE and WLAN in future mobile converged networks. IEEE Wirel Commun 21(6):24–33

    Article  Google Scholar 

  19. 19.

    Balan I, Perez E, Wegmann B, Laselva D (September 2016) Self-optimizing adaptive transmission mode selection for LTE-WLAN aggregation. In: Proceedings of the 27th IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC 2016). Valencia, Spain, pp 1–6

    Google Scholar 

  20. 20.

    Al-Kanj L, Poor HV, Dawy Z (2014) Optimal cellular offloading via device-to-device communication networks with fairness constraints. IEEE Trans Wirel Commun 13(8):4628–4643

    Article  Google Scholar 

  21. 21.

    Shang B, Zhao L, Chen K-C (2017) Operator’s economy of device-to-device offloading in underlaying cellular networks. IEEE Commun Lett 21(4):865–868

    Article  Google Scholar 

  22. 22.

    Wang Z, Shah-Mansouri H, Wong VW (2017) How to download more data from neighbors? A metric for D2D data offloading opportunity. IEEE Trans Mob Comput 16(6):1658–1675

    Article  Google Scholar 

  23. 23.

    Usman M, Gebremariam AA, Raza U, Granelli F (2015) A software-defined device-to-device communication architecture for public safety applications in 5G networks. IEEE Access 3:1649–1654

    Article  Google Scholar 

  24. 24.

    Seyedebrahimi M, Raschellà A, Bouhafs F, Mackay M, Shi Q, Eiza MH (2016) A centralised Wi-Fi management framework for D2D communications in dense Wi-Fi networks. In: Proceedings of the 8th IEEE International Conference on Standards for Communications and Networking (CSCN 2016), Berlin, Germany, pp 1-6

  25. 25.

    Huang C-M, Cheng R-S, Pan S-Y (August 2016) The enhanced wi-fi offloading using the software defined network based device-todevice communication paradigm for ubiquitous communication. In: Proceedings of the 9TH IEEE International Conference on Ubi-Media Computing (UMEDIA 2016), Moscow, Russia, pp 139–144

  26. 26.

    Kasasbeh H, Wang F, Cao L, Viswanathan R (2017) Generous throughput oriented channel assignment for infra-structured wifi networks. In: Proceedings of the 15th IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, USA, pp 1–6

  27. 27.

    He Y, Ren J, Yu G, Cai Y (March 2019) D2D communications meet mobile edge computing for enhanced computation capacity in cellular networks. IEEE Trans Wirel Commun 18(3):1750–1763

    Article  Google Scholar 

  28. 28.

    Qiao G, Leng S, Zhang Y (2019) Online learning and optimization for computation offloading in D2D edge computing and networks. In: Mobile networks and applications, pp 1–12.

  29. 29.

    Salameh HB, Almajali S, Ayyash M, Elgala H (2017) Security-aware channel assignment in IoT-based cognitive radio networks for time-critical applications. In: Proceedings of the 4th International Conference on Software Defined Systems (SDS), Valencia, pp 43–47

  30. 30.

    Vallati C, Virdis A, Mingozzi E, Stea G (2016) Mobile-edge computing come home connecting things in future smart homes using LTE device-to-device communications. IEEE Consum Electron Mag 5(4):77–83

    Article  Google Scholar 

  31. 31.

    Singh S, Chiu Y-C, Tsai Y-H, Yang J-S (2016) Mobile edge fog computing in 5G Era: Architecture and implementation. In: Proceedings of the 2016 International Computer Symposium (ICS), Tokyo, Japan, pp 731–735

Download references

Author information



Corresponding author

Correspondence to Chung-Ming Huang.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cheng, RS., Huang, CM. & Chen, HH. MD2DO: A Channel Selection Method for Device to Device Communication Using the Mobile Edge Computing (MEC) Paradigm. Mobile Netw Appl (2021).

Download citation


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