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Special Issue "Energy-Efficient Resource Allocation for beyond 5G and IoT Systems"

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

Deadline for manuscript submissions: 30 June 2020.

Special Issue Editors

Prof. Dr. Romano Fantacci
E-Mail Website
Guest Editor
Dipartimento Elettronica e Telecomunicazioni, University of Florence, Florence 50139, Italy
Interests: resource allocation; internet of things; radio spectrum management; cellular radio; 5G mobile communication; access protocols; game theory; protocols; radio access networks; wireless channels; Zigbee; array signal processing; channel allocation; chaos; multicast communication; radiofrequency interference; telecommunication congestion control; telecommunication power management; telecommunication security; time series; wide-area networks; wireless sensors networks; big data; internet
Dr. Laura Pierucci
E-Mail Website
Guest Editor
Department of Information Engineering; University of Florence; Florence, Italy
Interests: 5G mobile communication; antenna arrays; MIMO techniques; device-to-device communications machine-to-machine communications; internet of things; access protocols; multicast communication; radiofrequency interference; channel allocation; relay networks; security; wireless sensor networks; cooperative communication; physical layer security; data protection; energy consumption; machine learning

Special Issue Information

Dear Colleagues,

Revolutionizing our lives, works, and manufacturing processes, the internet of things (IoT) will connect tens of billions of resource-limited mobiles, e.g., mobile devices, sensors, and wearable computing devices, to the Internet via cellular networks. The constrained battery and limited computation capacities of devices pose significant challenges for designing IoT. Moreover, the available spectrum resources are far from enough to support the new beyond 5G and IoT communication systems.

Resource allocation for traditional multiple-access communication systems has been widely studied, including TDMA, OFDMA, and code-division multiple access (CDMA), and it has already been designed for existing networks such as cognitive radio and heterogeneous networks. It is very challenging for current multiple-access techniques to support massive access over the limited radio spectrum.

A prominent strategy for improving spectral efficiency is non-orthogonal multiple access (NOMA), where each sub-channel is allowed to serve multiple terminals at the same time, and hence it has received considerable attention as a promising candidate for 5G and beyond.

In addition to this,  the recent use of the software-defined networking (SDN) paradigm and the application of artificial intelligence methodologies have made significant improvements in performing energy-efficient resource allocation possible in different application scenarios.

This Special Issue seeks innovative works on a wide range of research topics, spanning both theoretical and systems research, including results from industry and academic/industrial collaborations, related but not restricted to the following topics:

  • Energy efficiency using SDN technology
  • Energy-efficient user association and beamforming for fog/edge
  • Energy-efficient offloading techniques
  • Radio access networks
  • Energy-efficient resource allocation in NOMA
  • Power transfer (SWIPT) non-orthogonal multiple access (NOMA) 
  • Energy-efficient maximization-oriented resource allocation in ultra-dense networks: Centralized and distributed algorithms
  • Energy efficiency in massive MIMO
  • Energy-efficient massive access for IoT
  • Energy-efficient massive MTC (mMTC)
  • Energy-efficient software-defined networking (SDN) and NFV for IoT
  • Energy efficiency for social IoT networks
  • Energy efficiency for IoT networks in smart manufacturing (industry 4.0)
  • Energy efficiency using machine learning techniques
  • Energy efficiency using games theory

Prof. Dr. Romano Fantacci
Dr. Laura Pierucci
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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 2000 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

  • Energy efficient (EE)
  • Resources allocation
  • Software-defined networking
  • Internet of things (IoT)
  • Beyond 5G

Published Papers (1 paper)

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Research

Open AccessArticle
A Resource Allocation Mechanism Based on Weighted Efficiency Interference-Aware for D2D Underlaid Communication
Sensors 2019, 19(14), 3194; https://doi.org/10.3390/s19143194 - 19 Jul 2019
Cited by 1
Abstract
Device-to-device (D2D) communication is a promising technique for direct communication to enhance the performance of cellular networks. In order to improve the system throughput and utilization of spectrum resource, a resource allocation mechanism for D2D underlaid communication is proposed in this paper where [...] Read more.
Device-to-device (D2D) communication is a promising technique for direct communication to enhance the performance of cellular networks. In order to improve the system throughput and utilization of spectrum resource, a resource allocation mechanism for D2D underlaid communication is proposed in this paper where D2D pairs reuse the resource blocks (RBs) of cellular uplink users, adopting a matching matrix to disclose the results of resource allocation. Details of the proposed resource allocation mechanism focused are listed as: the transmit power of D2D pairs are determined by themselves with the distributed power control method, and D2D pairs are assigned to different clusters that are the intended user sets of RBs, according to the threshold of the signal-to-interference-plus-noise ratio (SINR). The weighted efficiency interference-aware (WE-I-A) algorithm is proposed and applied subsequently to promote the system throughput by optimizing the matching of D2D pairs and RBs, where each D2D pair is weighted based on the SINR to compete for the priority of RBs fairly. Simulation results demonstrate that the proposed algorithm contributes to a good performance on the system throughput even if the uplink state is limited. Full article
(This article belongs to the Special Issue Energy-Efficient Resource Allocation for beyond 5G and IoT Systems)
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