Conference paper Open Access

Selection and Dimensioning of slice-based RAN Controller for adaptive Radio Resource Management

Pateromichelakis, Emmanouil; Peng, Chenghui


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{
  "description": "<p>This paper discusses the adaptive cluster formation and controller selection from a set of access nodes, given the RAN characteristics, the resource situation and the per slice QoS requirements, Subsequently, the adaptive placement of Radio Resource Management (RRM) functionalities to the RAN nodes and the interactions among functionalities are determined on per slice basis. By taking into account the slice requirements, the backhaul/access channel conditions and the traffic load, a central management entity assigns RRM functionalities to the controllers with different levels of centralization in order to meet the per Slice KPIs (throughput, reliability, latency). The controller, cluster and RRM split configuration problems are formulated and interpreted as three dependent graph-based sub-problems, where low complexity heuristic approaches, requiring low signalling, are proposed in this framework.</p>", 
  "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Huawei Technologies GRC", 
      "@type": "Person", 
      "name": "Pateromichelakis, Emmanouil"
    }, 
    {
      "affiliation": "Huawei Technologies GRC", 
      "@type": "Person", 
      "name": "Peng, Chenghui"
    }
  ], 
  "headline": "Selection and Dimensioning of slice-based RAN Controller for adaptive Radio Resource Management", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2017-03-22", 
  "url": "https://zenodo.org/record/886405", 
  "keywords": [
    "Network Slices, Radio Resource Management"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/WCNC.2017.7925932", 
  "@id": "https://doi.org/10.1109/WCNC.2017.7925932", 
  "@type": "ScholarlyArticle", 
  "name": "Selection and Dimensioning of slice-based RAN Controller for adaptive Radio Resource Management"
}
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