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New Frontiers of IEEE 802.11 Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 4645

Special Issue Editors


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Guest Editor
Dipartimento di Ingegneria dell’Informazione, Università di Pisa, Pisa, Italy
Interests: green networks; traffic optimization; traffic control and monitoring in cellular systems; QoE guarantee for MoIP services; routing in WMN; machine learning algorithms for network functions
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Guest Editor
Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia
Interests: wireless Internet of Things; IEEE 802.11ax; 802.11be; traffic control; URLLC; beyond 5G

Special Issue Information

Dear Colleagues,

The IEEE 802.11 wireless LAN family continues to evolve and satisfy new challenges arising from emerging applications (e.g., real-time gaming and video, automation control systems, etc.) and scenarios (e.g., Industrial Internet of Things, etc.). The new challenges are mainly related to the provision of extremely high data rates and ultra-low latencies. Moreover, the support of massive and heterogeneous power-limited clients for Internet of Things applications represents a new relevant challenge of the next generation of Wi-Fi technologies. The increasing demand for ubiquitous availability of Wi-Fi operating in unlicensed bands has led to the search for new unlicensed spectra, such as the 1.2 GHz spectrum in the 6 GHz band as recently ruled by the Federal Communications Commission in the United States. New unlicensed bands will create unprecedented opportunities for new applications that can leverage multi-gigabit links enabled by access to this new swathe of spectrum. The impact of the new Wi-Fi systems working at mmWave bands on new applications and scenarios requires more investigation in order to deeply understand if and when this technology can be exploited.

The Special Issue will address all research related to the challenges of future Wi-Fi systems. 

Dr. Rosario Giuseppe Garroppo
Dr. Evgeny Khorov
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • time-sensitive networking
  • Industrial Internet of Things
  • low latency and ultra-reliable communications
  • real-time applications
  • massive machine type communication
  • massive MIMO
  • mmWave Wi-Fi
  • light fidelity

Published Papers (1 paper)

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Research

23 pages, 782 KiB  
Article
IEEE 802.11ax OFDMA Resource Allocation with Frequency-Selective Fading
by Sergei Tutelian, Dmitry Bankov, Dmitri Shmelkin and Evgeny Khorov
Sensors 2021, 21(18), 6099; https://0-doi-org.brum.beds.ac.uk/10.3390/s21186099 - 11 Sep 2021
Cited by 10 | Viewed by 3638
Abstract
This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the [...] Read more.
This paper studies the usage of orthogonal frequency division multiple access (OFDMA) for uplink transmissions in IEEE 802.11ax networks. OFDMA enables simultaneous multi-user transmissions in Wi-Fi, but its usage requires efficient resource allocation algorithms. These algorithms should be able to adapt to the changing channel conditions, including the frequency-selective fading. This paper presents an OFDMA resource allocation algorithm for channels with frequency-selective fading and proposes an approach to adapt the user transmission power and modulation and coding schemes to the varying channel conditions, which is efficient even in the case when the access point has outdated channel state information. The proposed scheduling algorithm and power allocation approach can double the goodput and halve the data transmission time in Wi-Fi networks even in dense deployments of access points. Full article
(This article belongs to the Special Issue New Frontiers of IEEE 802.11 Systems)
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