Skip to main content

Advertisement

SpringerLink
Log in

Green communication mobile convergence mechanism for computing self-offloading in 5G networks

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

In this research, based on computing independent offloading set green communication, a mobile fusion mechanism for 5G network was indicated, to solve the problem of large-scale computing, limited resource and low utilization of 5G network. First, a 5G network architecture was designed for supporting autonomy, with the deployment of several edge terminals, multiple autonomous base stations and multiple autonomous control networks. Then, the multiple autonomous base stations were deployed evenly. Each user terminal device performs various kinds of business applications. And the information of their computing task size and resource requirements would be sent to the autonomous base station, which could autonomously control network. Secondly, to further improve the utilization of resources and reduce energy consumption, a green communication mechanism and mobile fusion mechanism were established by considering the channel characteristics and the diversity of resource status in the 5G network. Simulation results show that the proposed algorithm performs the following improvement real-time performance of 10%, throughput of 15%, convergence speed of 5%, energy efficiency and parallel computing efficiency of 8% than the reference (EURASIP J Embed Syst 2016(1):5, 2016).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Ding Z, Liu Y, Choi J, Sun Q, Elkashlan M, I CL, Poor HV (2017) Application of non-orthogonal multiple access in LTE and 5G networks[J]. IEEE Commun Mag 55(2):185–191

    Article  Google Scholar 

  2. Buzzi S, Chih-Lin I, Klein TE et al (2016) A survey of energy-efficient techniques for 5G networks and challenges ahead[J]. IEEE J Sel Areas Commun 34(4):697–709

    Article  Google Scholar 

  3. Agiwal M, Roy A, Saxena N (2017) Next generation 5G wireless networks: a comprehensive survey[J]. IEEE Commun Surv Tutorials 18(3):1617–1655

    Article  Google Scholar 

  4. Alfalahy N, Alani OY (2017) Technologies for 5G networks: challenges and opportunities[J]. IT Prof 19(1):12–20

    Article  Google Scholar 

  5. Wu Q, Li GY, Chen W, Ng DWK, Schober R (2017) An overview of sustainable green 5G networks[J]. IEEE Wirel Commun 24(4):72–80

    Article  Google Scholar 

  6. Chen X, Jiao L, Li W, Fu X (2016) Efficient multi-user computation offloading for Mobile-edge cloud computing[J]. IEEE/ACM Trans Networking 24(5):2795–2808

    Article  Google Scholar 

  7. Wang F, Xu J, Wang X, Cui S (2018) Joint offloading and computing optimization in wireless powered Mobile-edge computing systems[J]. IEEE Trans Wirel Commun 17(3):1784–1797

    Article  Google Scholar 

  8. Zhang K, Mao Y, Leng S et al (2017) Energy-efficient offloading for Mobile edge computing in 5G heterogeneous networks[J]. IEEE Access 4(99):5896–5907

    Google Scholar 

  9. Cardellini V, Valerio VD, Facchinei F et al (2016) A game-theoretic approach to computation offloading in mobile cloud computing[J]. Math Program 157(2):421–449

    Article  MathSciNet  Google Scholar 

  10. Tseng FH, Cho HH, Chang KD et al (2017) Application-oriented offloading in heterogeneous networks for mobile cloud computing[J]. Enterp Inf Syst:1–16

  11. Wang J, Hu C, Liu A (2017) Comprehensive optimization of energy consumption and delay performance for green communication in internet of things[J]. Mob Inf Syst 2017:1–17

    Google Scholar 

  12. Nguyen QN, Arifuzzaman M, Sato T (2016) Proactive-caching based information centric networking architecture for reliable green communication in intelligent transport system[C]. 2015 ITU Kaleidoscope: Trust in the Information Society (K-2015). IEEE:1–7

  13. Pandey B, Pandey N, Kaur A et al (2018) Scaling of output load in energy efficient FIR filter for green communication on ultra-scale FPGA[J]. Wirel Pers Commun:1–14

  14. Amamou L, Boujelben M, Besbes H (2017) Transmit power mitigation in cooperative green communication[C]// wireless communications and Mobile computing conference. IEEE:329–333

  15. Abrol A, Jha RK, Jain S, Kumar P (2018) Joint power allocation and relay selection strategy for 5G network: a step towards green communication[J]. Telecommun Syst 68(2):201–215

    Article  Google Scholar 

  16. Liu X, Zhang X, Jia M, Fan L, Lu W, Zhai X (2018) 5G-based green broadband communication system design with simultaneous wireless information and power transfer[J]. Phys Commun 28:130–137

    Article  Google Scholar 

  17. Wang S, Zhang X, Zhang Y, Wang L, YANG J, Wang W (2017) A survey on Mobile edge networks: convergence of computing, caching and communications[J]. IEEE Access 5(99):6757–6779

    Article  Google Scholar 

  18. Kani J (2017) Solutions for future Mobile Fronthaul and access-network convergence[J]. J Lightwave Technol 35(3):527–534

    Google Scholar 

  19. Ruffini M (2017) Multidimensional convergence in future 5G networks[J]. J Lightwave Technol 35(3):535–549

    Article  Google Scholar 

  20. Srivastava JV, Finger M (2017) Fixed to Mobile convergence (FMC) technological convergence and the reconfiguration in the organization of the European telecommunications industry[J]. Int Rev Neurobiol 87(6):47–79

    Google Scholar 

  21. Jin Y, Dai H, Sui C, Liu A, Xu P (2016) Opportunity cooperative embedded platform and control mechanism based on selectivity of time and frequency domain[J]. EURASIP J Embed Syst 2016(1):5

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wuhan University, Wuhan, 430072, Hubei, China

    Yuan Shu & Fuxi Zhu

  2. Nanjing Institute of Railway Technology, Nanjing, 320031, Jiangsu, China

    Yuan Shu

  3. Wuhan college, Wuhan, 430212, Hubei, China

    Fuxi Zhu

Authors
  1. Yuan Shu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fuxi Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fuxi Zhu.

Additional information

This article is part of the Topical Collection: Special Issue on Fog/Edge Networking for Multimedia Applications

Guest Editors: Yong Jin, Hang Shen, Daniele D'Agostino, Nadjib Achir, and James Nightingale

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

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shu, Y., Zhu, F. Green communication mobile convergence mechanism for computing self-offloading in 5G networks. Peer-to-Peer Netw. Appl. 12, 1511–1518 (2019). https://doi.org/10.1007/s12083-018-0704-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-018-0704-7

Keywords

Search

Navigation