• DocumentCode
    117358
  • Title

    Distributed load balancing for future 5G systems on-board high-speed trains

  • Author

    Goratti, Leonardo ; Savazzi, Stefano ; Parichehreh, Ali ; Spagnolini, Umberto

  • Author_Institution
    CREATE-NET Res. Centre, Trento, Italy
  • fYear
    2014
  • fDate
    26-28 Nov. 2014
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    The surge of mobile broadband Internet access has nowadays reached the critical point that traffic is projected to increase dramatically in the next years and even the 4G UMTS Long term Evolution (LTE) cellular technology and its advanced version LTE-A might lack enough flexibility and system reconfiguration capability. For these reasons, the quest for the Fifth Generation (5G) of cellular technology has started. In the context of users that require high Quality of Experience (QoE) anytime and anywhere, users on-board of fast moving vehicles such as high-speed trains represent an important market segment for both telecom operators and transportation companies. In particular, people who are moving for business everyday require low latency and high throughput Internet connectivity even when moving at hundreds of kilometers per hour. In this landscape, novel algorithms can find their space in future 5G systems to cope with fast resource (re)allocation in the presence of large Doppler spread and high handover frequency. Focusing on a high-speed train (HST), in this paper we propose a simple but effective distributed load balancing algorithm to relieve service interruption caused by frequent handovers in high mobility scenarios. Our results show the effectiveness of the solution while leveraging on the concept of cell edge intelligence.
  • Keywords
    5G mobile communication; Internet; Long Term Evolution; cellular radio; railway communication; resource allocation; 4G UMTS Long term Evolution; 5G systems; Internet connectivity; LTE; cellular technology; distributed load balancing; mobile broadband Internet access; on-board high-speed trains; quality of experience; resource allocation; 3G mobile communication; Artificial intelligence; Handover; Joining processes; Quality of service; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    5G for Ubiquitous Connectivity (5GU), 2014 1st International Conference on
  • Conference_Location
    Akaslompolo
  • Type

    conf

  • DOI
    10.4108/icst.5gu.2014.258110
  • Filename
    7041044