• DocumentCode
    742632
  • Title

    Are Heterogeneous Cloud-Based Radio Access Networks Cost Effective?

  • Author

    Suryaprakash, Vinay ; Rost, Peter ; Fettweis, Gerhard

  • Volume
    33
  • Issue
    10
  • fYear
    2015
  • Firstpage
    2239
  • Lastpage
    2251
  • Abstract
    Mobile networks of the future are predicted to be much denser than today´s networks to cater to increasing user demands. In this context, cloud-based radio access networks have garnered significant interest as a cost-effective solution to the problem of coping with denser networks and providing higher data rates. However, to the best of the authors´ knowledge, a quantitative analysis of the cost of such networks is yet to be undertaken. This paper develops a theoretic framework that enables computation of the deployment cost of a network (modeled using various spatial point processes) to answer the question posed by the paper´s title. Then, the framework obtained is used along with a complexity model, which enables computing the information processing costs of a network, to compare the deployment cost of a cloud-based network against that of a traditional LTE network, and to analyze why they are more economical. Using this framework and an exemplary budget, this paper shows that cloud-based radio access networks require approximately 10% to 15% less capital expenditure per square kilometer than traditional LTE networks. It also demonstrates that the cost savings depend largely on the costs of base stations and the mix of backhaul technologies used to connect base stations with data centers.
  • Keywords
    Base stations; Complexity theory; Data processing; Decoding; Radio access networks; Signal to noise ratio; Uplink; Cloud-RAN; Heterogeneous networks; backhaul; computational complexity; deployment cost; stochastic geometry;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2015.2435275
  • Filename
    7110548