Open Research Newcastle
Browse

Data flow delay equalization for feedback control applications using 5G wireless dual connectivity

Download (425.51 kB)
conference contribution
posted on 2025-05-11, 13:55 authored by Richard MiddletonRichard Middleton, Torbjörn Wigren, Katrina LauKatrina Lau, Ramón A. Delgado
The emerging 5G networks are intended to enable new feedback control applications, run over multiple wireless interfaces. 5G wireless technologies then need to match the state-of-the- art wired network performance, experienced by present commercial feedback control systems. Fibre-optic circuit switched communication is characterized by constant and very low loop delays, uniform and very high sampling rates, very low error rates and an almost unlimited capacity. The non-trivial challenge is then to meet these characteristics with a packet switched wireless 5G network that may be associated with varying latency, time varying sampling rates, significant error rates and a varying air-interface capacity. The paper contributes with a summary and discussion of basic requirements that need to be in place for successful commercial deployment of feedback controllers using such 5G wireless networks. One key requirement is a need to mitigate the problem of delay skew between different transmission paths. A novel delay skew data flow control algorithm is therefore proposed for 5G dual connectivity. The stability of the controller is analyzed and conditions for global L₂-stability are stated. Test bed results are also reported in the paper, indicating that the delay skew controller can meet the requirements on the delay characteristics of 5G networks.

Funding

ARC

LP150100757

History

Source title

2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings

Name of conference

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

Location

Sydney

Start date

2017-06-04

End date

2017-06-07

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Place published

Piscataway, NJ

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Usage metrics

    Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC