Special Issue on 5G Radio Network Optimization for VR/AR/XR

Submission Deadline: Dec. 20, 2019

Please click the link to know more about Manuscript Preparation: http://www.ijwcmc.org/submission

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Huichun Liu
      QUALCOMM Wireless communication Technologies (China) Limited, Beijing, China
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Kannadhasan Suriyan
      Department of EEE, Tamilnadu Government Polytechnic College, Madurai, Tamilnadu, India
    • Narayan Nepal
      Department of Information Technology, Aspire2 International, Christchurch, Canterbury, New Zealand
    • Raghad Alsultan
      Department of Electronic, Northern Technical University, Mosul, Iraq
    • Fan Xinxin
      Department of Information communication, State Grid Tongling Electric Power Supply Company, Tong Ling, China
    • Abdulmajid Al-Mqdashi
      Department of Computer and Communication Systems Engineering, Faculty of Engineering, University Putra Malaysia, Seri Kembangan, Selangor, Malaysia
  • Introduction

    5G has introduced many techniques to support very large variability of communication needs (from enhanced mobile broadband, to mission-critical control, to massive Internet of Things). Yet, VR/AR/XR are still challenging to 5G because VR/AR/XR require strict end-to-end low latency, however, ultra-low latency as low as 1 millisecond in 5G air interface cannot guarantee the end-2-end delay sensitive service requirement, and it will make the user feel dizzy in the VR/AR/XR experience. Solutions and techniques to reduce the end-2-end latency is strongly needed, e.g. mobile edge content caching/delivery at RAN (mobile CDN), transport network optimization. For the mobile edge content delivery, security issue and mobility issue need to be further studies.
    Moreover, 5G QoS provisioning is semi-static and is constant along lifetime of the session. However, the data burst of the most promising service such as VR/AR/XR is very high and traffic throughput demand may variant very dramatically. The dynamic can be caused by user interaction, e.g. video refresh, VR helmet or handle interactions. More real-time service prioritization in RAN is required to adapt more quickly to the application layer traffic to avoid a stalling of video, e.g application service type and traffic model can be aware by RAN with some cross-layer optimization or machine learning method. On the other hand, if app layer is aware of radio signal situation and transport network status, app layer can also make some adaption to the fast-changing radio network, e.g by throughput predication via machine learning.
    In general, advanced techniques and solutions for the burst traffic with high data-rate and stringent low latency requirement for both downlink and uplink are needed.

    Aims and Scope:

    1. VR/AR/XR optimization
    2. E2E Low latency
    3. Mobile CDN
    4. Service aware RAN
    5. Cross-layer optimization
    6. Machine learning

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijwcmc.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.