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Special Issue "Energy-Efficient Computing and Networking in the 5G Era"

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (15 November 2017)

Special Issue Editor

Guest Editor
Dr. Luca Chiaraviglio

Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133, Rome, Italy
Website | E-Mail
Phone: +1-330-308-7485
Interests: 5G networks; sustainable computing; energy-efficient networking

Special Issue Information

Dear Colleagues,

Current trends in networking foresee the adoption of the 5G by 2020. This technology will allow very high bandwidth and extremely low delay to users. In addition, 5G will trigger the connection of a variety of devices, making the Internet of Things a reality. In this context, the energy consumption of 5G, ranging from backbone to access segments, is becoming a serious challenge for network operators and for content providers. As a result, solutions limiting the energy consumption of 5G networks and computing devices, while allowing an excellent quality of service (QoS) to users, are of mandatory importance. This issue welcomes submissions focusing on the energy-efficiency of 5G, both in networking and computing contexts. In addition, theoretical works, as well as more practical ones, such as test-bed implementations, are encouraged.

Dr. Luca Chiaraviglio
Guest Editor

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. Energies is an international peer-reviewed open access monthly 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 1500 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-aware operation of 5G cellular and optical networks
  • energy-efficient management of 5G backbone networks
  • energy-aware computing and networking for 5G
  • energy-efficient 5G fronthauls and backhauls
  • exploitation of software defined networking (SDN) and network functions virtualization (NFV) for energy-efficiency
  • measurement and modelling of energy-efficient 5G devices
  • cost analysis of 5G networks
  • energy-efficient optimization of 5G networks
  • green standards for 5G networks
  • energy-aware 5G protocols
  • test-bed implementations of energy-aware 5G architectures

Published Papers (3 papers)

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Research

Open AccessArticle Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems
Energies 2017, 10(12), 2132; doi:10.3390/en10122132 (registering DOI)
Received: 14 November 2017 / Revised: 6 December 2017 / Accepted: 11 December 2017 / Published: 14 December 2017
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Abstract
The increasing power consumption and related environmental implications currently generated by large data networks have become a major concern over the last decade. Given the drastic traffic increase expected in 5G dense environments, the energy consumption problem becomes even more concerning and challenging.
[...] Read more.
The increasing power consumption and related environmental implications currently generated by large data networks have become a major concern over the last decade. Given the drastic traffic increase expected in 5G dense environments, the energy consumption problem becomes even more concerning and challenging. In this context, Software-Defined Networks (SDN), a key technology enabler for 5G systems, can be seen as an attractive solution. In these programmable networks, an energy-aware solution could be easily implemented leveraging the capabilities provided by control and data plane separation. This paper investigates the impact of energy-aware routing on network performance. To that end, we propose a novel energy-aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations where real topologies and demands data are used. Moreover, the obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and Ternary Content Addressable Memory (TCAM) occupation are affected by the performance-agnostic energy-aware model. Full article
(This article belongs to the Special Issue Energy-Efficient Computing and Networking in the 5G Era)
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Open AccessArticle Energy-Efficient Subcarrier Pairing and Power Allocation for DF Relay Networks with an Eavesdropper
Energies 2017, 10(12), 1953; doi:10.3390/en10121953
Received: 13 October 2017 / Revised: 13 November 2017 / Accepted: 17 November 2017 / Published: 24 November 2017
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Abstract
Algorithms for joint subcarrier pairing and power allocation are investigated in order to maximize the worst-case energy efficiency (EE) in dual-hop decode-and-forward (DF) relay networks in the presence of an active eavesdropper. Accordingly, we study the impact of number of subcarriers on the
[...] Read more.
Algorithms for joint subcarrier pairing and power allocation are investigated in order to maximize the worst-case energy efficiency (EE) in dual-hop decode-and-forward (DF) relay networks in the presence of an active eavesdropper. Accordingly, we study the impact of number of subcarriers on the trade-off in performance between the EE and the spectrum efficiency (SE). The formulated EE optimization problem is the ratio of the secure SE over the entire power consumption in the network, subject to the constraints of total transmit power and subcarrier pairing. A near-optimal iterative algorithm is proposed to perform the subcarrier pairing and power allocation for achieving the maximum EE in the networks. Furthermore, a suboptimal algorithm is proposed with two-step resource allocation. By considering the subcarrier channel quality of the source-to-relay and relay-to-destination links, the subcarrier pairing is first performed, followed by an energy-efficient iterative power allocation scheme to maximize the EE. Numerical results validate the effectiveness and correctness of the proposed algorithms. Full article
(This article belongs to the Special Issue Energy-Efficient Computing and Networking in the 5G Era)
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Open AccessArticle An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization
Energies 2017, 10(9), 1417; doi:10.3390/en10091417
Received: 5 July 2017 / Revised: 10 September 2017 / Accepted: 11 September 2017 / Published: 15 September 2017
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Abstract
Reducing energy consumption of mobile communication networks has gained significant attentions since it takes a major part of the total energy consumption of information and communication technology (ICT). In this paper, we consider 5G networks with heterogeneous macro cells and small cells, where
[...] Read more.
Reducing energy consumption of mobile communication networks has gained significant attentions since it takes a major part of the total energy consumption of information and communication technology (ICT). In this paper, we consider 5G networks with heterogeneous macro cells and small cells, where data and control planes are separated. We consider two types of data traffic, i.e., low rate data traffic and high rate data traffic. In basic separation architecture, a macro cell base station (MBS) manages control signals, while a small cell base station (SBS) manages both low rate data traffic and high rate data traffic. In the considered modified separation architecture, an MBS manages control signals and low rate data traffic, while an SBS manages high rate data traffic. Then, an efficient energy saving scheme for base stations (BSs) is proposed, where the state of a BS is determined depending on the number of user equipments (UEs) that request high rate data traffic and the number of UEs that exist under the overlapping areas commonly covered by the considered BS and the neighbor BSs. We formulate an optimization problem for the proposed energy saving scheme and obtain the solution using particle swarm optimization (PSO). Numerical results show that the proposed energy saving scheme in the modified separated network architecture has better energy efficiency compared to the conventional energy saving schemes in both basic and modified separated network architectures. Also, the proposed energy saving scheme has lower aggregate delay. Full article
(This article belongs to the Special Issue Energy-Efficient Computing and Networking in the 5G Era)
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