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

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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).

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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
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  2. Fuxi Zhu
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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

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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

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

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