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Special Issue "Energy-Efficient Communications for beyond 5G Green Networks"

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

Deadline for manuscript submissions: 1 January 2021.

Special Issue Editors

Dr. Sanket S. Kalamkar
Guest Editor
INRIA, Paris, France
Interests: Stochastic geometry; wireless networks; energy harvesting; cognitive radio; cooperative communications
Dr. Shree Krishna Sharma
Guest Editor
SnT, University of Luxembourg, Luxembourg
Interests: Beyond 5G; Internet of Things; mMTC; URLLC; machine learning for wireless communications

Special Issue Information

Dear Colleagues,

Modern communications technologies, such as 5G and beyond, are moving toward supporting and connecting heterogeneous communications services in diverse scenarios. In the future, the numbers of connected sensors and machine-type communications devices are expected to grow exponentially. At the same time, due to ever-increasing data traffic and the need for tiny devices that can process a large amount of data, energy consumption and efficiency have become key concerns. For instance, various tasks in the emerging Internet of Things (IoT), including sensing, processing, and communications tasks, demand highly energy-efficient techniques and architectures. In addition, there is an urgent need to reduce greenhouse gas emissions from information and communications technology industries. Hence, it is important to carefully develop, design, and optimize energy-efficient communications strategies, while maintaining the desired quality of service.

In the above context, the goal of this Special Issue is to bring together original research contributions related to energy-efficient communications technologies for future “Beyond 5G” networks.

The key areas for this Special Issue include, but are not limited to, the following:

  • Energy-efficient techniques and architectures for IoT;
  • Ultra-low-power communications;
  • Battery-less energy harvesting;
  • Situation-aware design of communication devices;
  • Machine learning for energy-efficient communications in 5G and beyond;
  • Simultaneous wireless information and power transfer (SWIPT);
  • Backscatter communications;
  • Ambient backscatter communications;
  • Reconfigurable intelligent surfaces for green communications;
  • Energy-efficient receiver architectures;
  • Performance modeling, evaluation, and analysis for green wireless networks.

Dr. Sanket S. Kalamkar
Dr. Shree Krishna Sharma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • energy efficiency
  • green 5G/6G networks
  • energy harvesting
  • backscatter communications
  • reconfigurable intelligent surfaces

Published Papers (1 paper)

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Open AccessLetter
Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things
Sensors 2020, 20(16), 4631; - 18 Aug 2020
This paper studies a distributed antenna system (DAS) network with radio frequency (RF) energy harvesting (EH) technology where the distributed antenna ports (DAPs) transmit energy and information to multiple users simultaneously. The time division multiple access (TDMA) protocol is adopted, so for each [...] Read more.
This paper studies a distributed antenna system (DAS) network with radio frequency (RF) energy harvesting (EH) technology where the distributed antenna ports (DAPs) transmit energy and information to multiple users simultaneously. The time division multiple access (TDMA) protocol is adopted, so for each time slot is allowed to receive information, while the rest of the users harvest energy. In order to maximize the system energy efficiency (EE), subject to the EH requirements and data rate requirements of the users, the transmission time and power assignment are jointly optimized. In order to deal with this non-convex problem, based on Dinkelbach theory and the block-coordinate descent (BCD) scheme, an efficient algorithm is designed to obtain the global optimal solution. Then, simulation results are presented to show that the proposed method achieves much higher system EE compared with benchmark methods. With the increase of the user’s minimum information rate, the system EE decreases rapidly. Full article
(This article belongs to the Special Issue Energy-Efficient Communications for beyond 5G Green Networks)
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