Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDistributed signal processing for dense 5G IoT platforms: Networking, synchronization, interference detection and radio sensing
Anno di pubblicazione2019
FormatoElettronico
Autore/iSoatti G.; Savazzi S.; Nicoli M.; Alvarez M.A.; Kianoush S.; Rampa V.; Spagnolini U.
Affiliazioni autoriPolitecnico di Milano, DEIB, P.zza L.da Vinci 32, Milano, 20133, , Italy; Consiglio Nazionale delle Ricerche (CNR), IEIIT Inst., P.zza L. da Vinci 32, Milano, 20133, , Italy; Politecnico di Milano, DIG, P.zza L.da Vinci 32, Milano, 20133, , Italy; Escuela Superior Politecnica del Litoral (ESPOL), Guayaquil, , Ecuador
Autori CNR e affiliazioni
  • SANAZ KIANOUSH
  • STEFANO SAVAZZI
  • VITTORIO RAMPA
Lingua/e
  • inglese
AbstractDriven by the fourth industrial revolution (Industry 4.0), future and emerging Internet of Things (IoT) technologies will be required to support unprecedented services and demanding applications for massive machine-type connectivity, with low latency, high reliability and distributed information processing capability. In this article, distributed signal processing methodologies are highlighted as enablers for next generation cloud-assisted IoT systems. The proposed distributed algorithms run inside a wireless cloud network (WCN) platform and are exploited for WCN self-organization, distributed synchronization, networking and sensing. The WCN can lease augmented communication and sensing services to off-the-shelf industrial wireless devices via a dense, self-organizing "cloud" of wireless nodes. The paper introduces, at first, the WCN architecture and illustrates an experimental case study inside a pilot industrial plant. Next, it proposes a re-design of consensus-based algorithms for enabling a selected set of distributed information processing functionalities within the WCN platform, with application in practical IoT scenarios. In particular, cooperative communication algorithms are adopted to support reliable communication services. Distributed timing and carrier frequency offset estimation methods are investigated to enable low-latency services through accurate synchronization. Autonomous identification of recurring interference patterns is proposed for multiple access coordination in the shared 5G spectrum. Finally, localization and vision applications based on distributed processing of wireless signals are investigated to support contact-free human-machine interfaces.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da9
Pagine a21
Pagine totali-
RivistaAd hoc networks
Attiva dal 2003
Editore: Elsevier - Paris
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 1570-8705
Titolo chiave: Ad hoc networks
Titolo proprio: Ad hoc networks.
Numero volume della rivista89
Fascicolo della rivista-
DOI10.1016/j.adhoc.2019.02.006
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85062217779)
Parole chiaveDistributed Signal Processing, Internet of Things, Distributed Synchronization, Industrial Wireless Networks
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85062217779&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/Attività/Sottoprogetti CNR
  • DIT.AD003.027.001 : DIWINE - Dense Cooperative Wireless Cloud Network
  • DIT.AD003.044.001 : IOT - Algoritmi, sistemi e tecnologie per Internet delle cose e delle persone
  • DIT.AD003.057.001 : ESPOL - Smart Refinery: Wireless Network Deployment Study in Petroecuador Esmeraldas
Progetti Europei-
Allegati
Distributed Signal Processing for Dense 5G IoT Platforms: Networking, Synchronization, Interference Detection and Radio Sensing (documento privato )
Descrizione: Pre-print della pubblicazione
Tipo documento: application/pdf
Distributed Signal Processing for Dense 5G IoT Platforms: Networking, Synchronization, Interference Detection and Radio Sensing (documento privato )
Descrizione: Pre-print della pubblicazione
Tipo documento: application/pdf