Conference paper Open Access

Dynamic Strict Fractional Frequency Reuse for Software-Defined 5G Networks

Anteneh A. Gebremariam; Tingnan Bao; Domenico Siracusa; Tinku Rasheed; Fabrizio Granelli; Leonardo Goratti


Citation Style Language JSON Export

{
  "DOI": "10.1109/ICC.2016.7510890", 
  "language": "eng", 
  "title": "Dynamic Strict Fractional Frequency Reuse for Software-Defined 5G Networks", 
  "issued": {
    "date-parts": [
      [
        2016, 
        7, 
        14
      ]
    ]
  }, 
  "abstract": "<p>The surge of mobile data traffic has spurred\u00a0academia and industries to begin developing 5G networks. 5G is\u00a0meant to overcome limitations of 4G cellular technology relying\u00a0on the dominant trend of mobile network densification with\u00a0the deployment of small cell base stations. To accelerate this\u00a0process, low complexity and inexpensive remote radio heads\u00a0(RRHs) are deployed massively and connected to a centralized\u00a0pool of resources. In this work, we study the problem of inter-cell\u00a0interference (ICI) which arises in frequency reuse one multi-tier\u00a05G networks. We entrust the management of RRHs to a softwaredefined\u00a0network controller and we take advantage of network\u00a0functions virtualization. Our contributions consist of proposing\u00a0Dynamic Strict Fractional Frequency Reuse (DSFFR), a method<br>\nto relieve ICI which dynamically divides the small cell area in a\u00a0different number of sectors. Furthermore, we formulate a joint\u00a0scheduling problem composed of two schedulers which operate\u00a0at different time granularity to transmit downlink packets.\u00a0<br>\nModeling the coverage area with the tool of stochastic geometry\u00a0and solving with simulations the joint scheduling problem, we\u00a0are able to show that DSFFR outperforms the static scheme.<br>\nPerformance are addressed in terms of spectral efficiency and\u00a0packet blocking probability.</p>", 
  "author": [
    {
      "family": "Anteneh A. Gebremariam"
    }, 
    {
      "family": "Tingnan Bao"
    }, 
    {
      "family": "Domenico Siracusa"
    }, 
    {
      "family": "Tinku Rasheed"
    }, 
    {
      "family": "Fabrizio Granelli"
    }, 
    {
      "family": "Leonardo Goratti"
    }
  ], 
  "note": "\u00a9 2016 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.", 
  "type": "paper-conference", 
  "id": "1044249"
}
13
19
views
downloads
Views 13
Downloads 19
Data volume 7.9 MB
Unique views 13
Unique downloads 19

Share

Cite as