Conference paper Open Access

Adaptive WDMA: improving the data rate of a densely deployed LiFi network

Martena, Giovanni Luca; Bian, Rui; Haas, Harald


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/34404ced-5e30-4b4f-98f0-5c8c0822d8ac/Adaptive_WDMA_CamReady_v3_AUTHVERSION.PDF"
      }, 
      "checksum": "md5:01231ed788e303438e4b9c67ba65746f", 
      "bucket": "34404ced-5e30-4b4f-98f0-5c8c0822d8ac", 
      "key": "Adaptive_WDMA_CamReady_v3_AUTHVERSION.PDF", 
      "type": "pdf", 
      "size": 1077968
    }
  ], 
  "owners": [
    64376
  ], 
  "doi": "10.1145/3469264.3469806", 
  "stats": {
    "version_unique_downloads": 39.0, 
    "unique_views": 44.0, 
    "views": 47.0, 
    "version_views": 47.0, 
    "unique_downloads": 39.0, 
    "version_unique_views": 44.0, 
    "volume": 45274656.0, 
    "version_downloads": 42.0, 
    "downloads": 42.0, 
    "version_volume": 45274656.0
  }, 
  "links": {
    "doi": "https://doi.org/10.1145/3469264.3469806", 
    "latest_html": "https://zenodo.org/record/5090686", 
    "bucket": "https://zenodo.org/api/files/34404ced-5e30-4b4f-98f0-5c8c0822d8ac", 
    "badge": "https://zenodo.org/badge/doi/10.1145/3469264.3469806.svg", 
    "html": "https://zenodo.org/record/5090686", 
    "latest": "https://zenodo.org/api/records/5090686"
  }, 
  "created": "2021-07-11T16:40:00.632399+00:00", 
  "updated": "2021-07-12T13:48:16.834472+00:00", 
  "conceptrecid": "5090685", 
  "revision": 2, 
  "id": 5090686, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.1145/3469264.3469806", 
    "description": "<p>A novel adaptive Wavelength Division Multiple Access (WDMA) scheme is presented in this paper, capable of contrasting the effect of the Passband Shift (PS) phenomenon in an indoor densely deployed LiFi network. After an overview on WDMA in an indoor Internet of Things (IoT) setting, simulation work is defined and carried out. Results show how in such settings, the loss of connection is reduced<br>\nto an average of 0.72 % compared to 31.25 % when using Adaptive WDMA. Additionally, the users are served with higher average<br>\nspeeds and better fairness.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Adaptive WDMA: improving the data rate of a densely deployed LiFi network", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "5090685"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "5090686"
          }
        }
      ]
    }, 
    "grants": [
      {
        "code": "814215", 
        "links": {
          "self": "https://zenodo.org/api/grants/10.13039/501100000780::814215"
        }, 
        "title": "European Training Network in Low-energy Visible Light IoT Systems", 
        "acronym": "ENLIGHTEM", 
        "program": "H2020", 
        "funder": {
          "doi": "10.13039/501100000780", 
          "acronyms": [], 
          "name": "European Commission", 
          "links": {
            "self": "https://zenodo.org/api/funders/10.13039/501100000780"
          }
        }
      }
    ], 
    "publication_date": "2021-07-11", 
    "creators": [
      {
        "affiliation": "University of Strathclyde", 
        "name": "Martena, Giovanni Luca"
      }, 
      {
        "affiliation": "pureLiFi", 
        "name": "Bian, Rui"
      }, 
      {
        "affiliation": "University of Strathclyde", 
        "name": "Haas, Harald"
      }
    ], 
    "meeting": {
      "acronym": "IoL21", 
      "url": "https://enlightem.eu/results/workshops/iol-workshop/", 
      "dates": "25 June 2021", 
      "place": "Virtual Conference", 
      "title": "Workshop on Internet of Lights - Colocated with ACM MobiSys 2021"
    }, 
    "access_right": "open", 
    "resource_type": {
      "subtype": "conferencepaper", 
      "type": "publication", 
      "title": "Conference paper"
    }
  }
}
47
42
views
downloads
Views 47
Downloads 42
Data volume 45.3 MB
Unique views 44
Unique downloads 39

Share

Cite as