Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloA learning algorithm for rate selection in real-time wireless LANs
Anno di pubblicazione2017
Formato
  • Elettronico
  • Cartaceo
Autore/iLuvisotto, Michele; Tramarin, Federico; Vitturi, Stefano
Affiliazioni autoriUniversita degli Studi di Padova; Consiglio Nazionale delle Ricerche
Autori CNR e affiliazioni
  • FEDERICO TRAMARIN
  • STEFANO VITTURI
Lingua/e
  • inglese
AbstractTo achieve a real-time behavior in wireless communication systems, the multi-rate support (MRS) provided by the IEEE 802.11 Wireless LAN standard may reveal particularly advantageous. Unfortunately, the most widespread rate adaptation algorithms designed for general purpose applications proved to be unsuitable for the challenging real-time scenario. This has led to the definition of purposely designed algorithms such as RSIN, a rate adaptation technique based on the SNR measurement, which showed very good performance in terms of timeliness and reliability. The goal of this paper is to propose an improvement of RSIN that extends its applicability to a wider range of applications. To this aim, we introduce RSIN-E, an enhanced version of RSIN based on an estimation of the SNR obtained through a learning algorithm. In detail, this paper first provides an exhaustive description of both the proposed learning algorithm and the relevant estimation procedure. Then it presents an extensive performance assessment of RSIN-E carried out via both experimental sessions and simulations. The obtained results confirm the effectiveness of the proposed technique and highlight that its performance figures are comparable with those of RSIN, and significantly better than those of Minstrel, a widespread rate adaptation algorithm adopted by most general purpose applications.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da114
Pagine a124
Pagine totali-
RivistaComputer networks (1999)
Attiva dal 1999
Editore: Elsevier - Amsterdam ;
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 1389-1286
Titolo chiave: Computer networks (1999)
Titolo proprio: Computer networks. (1999)
Titolo abbreviato: Comput. networks (1999)
Numero volume della rivista126
Fascicolo della rivista-
DOI10.1016/j.comnet.2017.07.002
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85022196686)
Parole chiaveLearning algorithm, Rate selection, Real-time WLANs, SNR estimation
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85022196686&origin=inward
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR
    Progetti Europei-
    Allegati
    • A learning algorithm for rate selection in real-time wireless LANs
      Descrizione: pdf dell'editore