Special Issue "Green Wireless Networks"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 March 2017).

Special Issue Editors

Dr. Elli Kartsakli

Guest Editor
Senior Researcher, Iquadrat S.L., Passeig Sant Joan 89, 08009, Barcelona, Spain
Interests: wireless communications; 5G networks and architectures; energy efficient protocols; resource allocation; Software Defined Networks
Prof. Dr. Di Yuan
Website
Guest Editor
Mobile Telecommunications, Department of Science and Technology, Linköping University, SE-601 74 Norrköping, Sweden
Interests: wireless networks; wireless optical communications; Internet of things; network planning and optimization; resource management
Dr. Fabrizio Granelli
Website
Guest Editor
Department of Information Engineering and Computer Science (DISI), University of Trento, Via Calepina, 14, 38122 Trento, Italy
Interests: Green mobile access networks and 5G; Software Defined Networks; cognitive networks and ICT for Green

Special Issue Information

Dear Colleagues,

Enhancing energy efficiency is one of the main drivers for the design of next generation communication networks, with significant social, economic and environmental benefits. There is a dire need for green solutions to limit the carbon footprint and achieve significant reduction in energy bills for both consumers and industry, especially given the increasing network infrastructure required to support ubiquitous and fast connectivity, and the extensive deployment of smart connected devices towards the emerging Internet of Things (IoT) paradigm. Furthermore, the entry of new trends and technologies, such as Software Defined Networking (SDN), content-centric networking (with content caching and distribution networks (CDNs)) and cloud/fog computing, as well as the current drive for resource sharing among multiple tenants, supported by advances in wireless virtualization techniques and infrastructure/spectrum sharing interoperator agreements, offer new possibilities for efficient energy management in wireless systems. Finally, wireless communications are a key enabler for other innovative green technologies such as smart grids and smart homes and cities, which encourage the use of renewable energy sources and aim to bring down both the energy usage and cost.

This Special Issue of the journal Applied Sciences, “Green Wireless Networks”, aims to attract novel contributions covering this wide range of energy-related solutions for green and sustainable wireless networks. Our topics of interest include, but are not limited to:

  • energy-efficient algorithms, protocols and mechanisms for wireless systems, spanning from sensor networks to LTE deployments,
  • renewable energy sources, energy harvesting techniques and power management towards energy neutral operation and network lifetime extension
  • power-saving mechanisms, advanced signal processing and switching off techniques
  • green algorithms for wireless networking in smart grids/smart homes and cities
  • energy-aware architectures and strategies for data caching, content distribution networks (CDNs), SDN and cloud/fog networking
  • advanced network sharing techniques, including virtualization, infrastructure and spectrum sharing, to reduce energy consumption

Dr. Elli Kartsakli
Prof. Dr. Di Yuan
Dr. Fabrizio Granelli
Guest Editors

Manuscript Submission Information

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Keywords

  • Green networking
  • Energy neutral operation
  • Energy-aware caching and CDNs
  • Green architectures for 5G (SDN, cloud/fog networking, etc.)
  • Wireless connectivity for smart grids, smart homes/cities
  • Energy-efficient network sharing techniques (virtualization, resource slicing, etc.)
  • Policies, regulations and modeling of interoperator agreements for resource sharing
  • Energy harvesting and power management

Published Papers (7 papers)

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Research

Open AccessArticle
Energy Prediction of Access Points in Wi-Fi Networks According to Users’ Behaviour
Appl. Sci. 2017, 7(8), 825; https://doi.org/10.3390/app7080825 - 11 Aug 2017
Abstract
Some maintenance tasks in Wi-Fi networks may involve removing an access point due to several reasons. As a result, the new infrastructure registers a different number of roamings in the access points according to the users’ behaviour, with a certain energy impact added [...] Read more.
Some maintenance tasks in Wi-Fi networks may involve removing an access point due to several reasons. As a result, the new infrastructure registers a different number of roamings in the access points according to the users’ behaviour, with a certain energy impact added to the consumption caused by the own operations of the devices. This energy effect should be understood in order to tackle the measures aimed at planning the infrastructure deployment. In this work, we propose a methodology to predict the energy consumption in the access points of a Wi-Fi network when we remove a particular device, based on a twofold support. We predict the number of roamings following a method previously validated; on the other hand, we assess the relationship between roamings and energy in the full infrastructure, using the data collected from a high number of network users during a given time in order to reflect the users’ behaviour with the maximum accuracy. From this knowledge, we can infer the energy prediction for a different environment where the roamings are predicted using techniques based on recommender systems and machine learning. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
Energy-Efficient Caching for Mobile Edge Computing in 5G Networks
Appl. Sci. 2017, 7(6), 557; https://doi.org/10.3390/app7060557 - 27 May 2017
Cited by 17
Abstract
Mobile Edge Computing (MEC), which is considered a promising and emerging paradigm to provide caching capabilities in proximity to mobile devices in 5G networks, enables fast, popular content delivery of delay-sensitive applications at the backhaul capacity of limited mobile networks. Most existing studies [...] Read more.
Mobile Edge Computing (MEC), which is considered a promising and emerging paradigm to provide caching capabilities in proximity to mobile devices in 5G networks, enables fast, popular content delivery of delay-sensitive applications at the backhaul capacity of limited mobile networks. Most existing studies focus on cache allocation, mechanism design and coding design for caching. However, grid power supply with fixed power uninterruptedly in support of a MEC server (MECS) is costly and even infeasible, especially when the load changes dynamically over time. In this paper, we investigate the energy consumption of the MECS problem in cellular networks. Given the average download latency constraints, we take the MECS’s energy consumption, backhaul capacities and content popularity distributions into account and formulate a joint optimization framework to minimize the energy consumption of the system. As a complicated joint optimization problem, we apply a genetic algorithm to solve it. Simulation results show that the proposed solution can effectively determine the near-optimal caching placement to obtain better performance in terms of energy efficiency gains compared with conventional caching placement strategies. In particular, it is shown that the proposed scheme can significantly reduce the joint cost when backhaul capacity is low. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
Joint Relay Selection and Resource Allocation for Energy-Efficient D2D Cooperative Communications Using Matching Theory
Appl. Sci. 2017, 7(5), 491; https://doi.org/10.3390/app7050491 - 10 May 2017
Cited by 16
Abstract
Device-to-device (D2D) cooperative relay can improve network coverage and throughput by assisting users with inferior channel conditions to implement multi-hop transmissions. Due to the limited battery capacity of handheld equipment, energy efficiency is an important issue to be optimized. Considering the two-hop D2D [...] Read more.
Device-to-device (D2D) cooperative relay can improve network coverage and throughput by assisting users with inferior channel conditions to implement multi-hop transmissions. Due to the limited battery capacity of handheld equipment, energy efficiency is an important issue to be optimized. Considering the two-hop D2D relay communication scenario, this paper focuses on how to maximize the energy efficiency while guaranteeing the quality of service (QoS) requirements of both cellular and D2D links by jointly optimizing relay selection, spectrum allocation and power control. Since the four-dimensional matching involved in the joint optimization problem is NP-hard, a pricing-based two-stage matching algorithm is proposed to reduce dimensionality and provide a tractable solution. In the first stage, the spectrum resources reused by relay-to-receiver links are determined by a two-dimensional matching. Then, a three-dimensional matching is conducted to match users, relays and the spectrum resources reused by transmitter-to-relay links. In the process of preference establishment of the second stage, the optimal transmit power is solved to guarantee that the D2D link has the maximized energy efficiency. Simulation results show that the proposed algorithm not only has a good performance on energy efficiency, but also enhances the average number of served users compared to the case without any relay. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
An Initial Load-Based Green Software Defined Network
Appl. Sci. 2017, 7(5), 459; https://doi.org/10.3390/app7050459 - 02 May 2017
Cited by 6
Abstract
Software defined network (SDN) is a new network architecture in which the control function is decoupled from the data forwarding plane, that is attracting wide attentions from both research and industry sectors. However, SDN still faces the energy waste problem as do traditional [...] Read more.
Software defined network (SDN) is a new network architecture in which the control function is decoupled from the data forwarding plane, that is attracting wide attentions from both research and industry sectors. However, SDN still faces the energy waste problem as do traditional networks. At present, research on energy saving in SDN is mainly focused on the static optimization of the network with zero load when new traffic arrives, changing the transmission path of the uncompleted traffic which arrived before the optimization, possibly resulting in route oscillation and other deleterious effects. To avoid this, a dynamical energy saving optimization scheme in which the paths of the uncompleted flows will not be changed when new traffic arrives is designed. To find the optimal solution for energy saving, the problem is modeled as a mixed integer linear programming (MILP) problem. As the high complexity of the problem prohibits the optimal solution, an improved heuristic routing algorithm called improved constant weight greedy algorithm (ICWGA) is proposed to find a sub-optimal solution. Simulation results show that the energy saving capacity of ICWGA is close to that of the optimal solution, offering desirable improvement in the energy efficiency of the network. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
A Resource Allocation Scheme for Multi-D2D Communications Underlying Cellular Networks with Multi-Subcarrier Reusing
Appl. Sci. 2017, 7(2), 148; https://doi.org/10.3390/app7020148 - 07 Feb 2017
Cited by 11
Abstract
Device-to-device (D2D) communication is proposed as a promising technique of future cellular networks which fulfills its potential in terms of high resource utilization. In this paper, in order to improve the achievable rate of D2D communication and the spectrum utilization, we consider the [...] Read more.
Device-to-device (D2D) communication is proposed as a promising technique of future cellular networks which fulfills its potential in terms of high resource utilization. In this paper, in order to improve the achievable rate of D2D communication and the spectrum utilization, we consider the scenario that multiple D2D pairs can share uplink spectrum resources with multiple cellular users (CUs). We aim to maximize the overall system spectrum efficiency while satisfying the rate requirements of all CUs and guaranteeing that the system gain is positive. We formulate the joint optimization problem of subcarrier assignment and power allocation which falls naturally into a mixed integer non-linear programming form that is a difficult problem to solve. Hence, we propose a two-stage resource allocation scheme which comprises a subcarrier assignment by employing a heuristic greedy strategy, as well as a power allocation algorithm based on the Lagrangian dual method. Numerical results demonstrate the advantageous performance of our scheme in greatly increasing the system sum spectrum efficiency. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
Probability of Interference-Optimal and Energy-Efficient Analysis for Topology Control in Wireless Sensor Networks
Appl. Sci. 2016, 6(12), 396; https://doi.org/10.3390/app6120396 - 30 Nov 2016
Cited by 2
Abstract
Because wireless sensor networks (WSNs) have been widely used in recent years, how to reduce their energy consumption and interference has become a major issue. Topology control is a common and effective approach to improve network performance, such as reducing the energy consumption [...] Read more.
Because wireless sensor networks (WSNs) have been widely used in recent years, how to reduce their energy consumption and interference has become a major issue. Topology control is a common and effective approach to improve network performance, such as reducing the energy consumption and network interference, improving the network connectivity, etc. Many topology control algorithms reduce network interference by dynamically adjusting the node transmission range. However, reducing the network interference by adjusting the transmission range is probabilistic. Therefore, in this paper, we analyze the probability of interference-optimality for the WSNs and prove that the probability of interference-optimality increases with the increasing of the original transmission range. Under a specific transmission range, the probability reaches the maximum value when the transmission range is 0.85r in homogeneous networks and 0.84r in heterogeneous networks. In addition, we also prove that when the network is energy-efficient, the network is also interference-optimal with probability 1 both in the homogeneous and heterogeneous networks. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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Open AccessArticle
Multi-Objective Resource Allocation Scheme for D2D Multicast with QoS Guarantees in Cellular Networks
Appl. Sci. 2016, 6(10), 274; https://doi.org/10.3390/app6100274 - 24 Sep 2016
Cited by 6
Abstract
Device-to-device (D2D) multicast communication can greatly improve the spectrum utilization in a content delivery scenario. However, the co-channel interference and power consumption brought by D2D bring new challenges. All the D2D multicast groups expect to achieve a higher system capacity with less extra [...] Read more.
Device-to-device (D2D) multicast communication can greatly improve the spectrum utilization in a content delivery scenario. However, the co-channel interference and power consumption brought by D2D bring new challenges. All the D2D multicast groups expect to achieve a higher system capacity with less extra energy cost. In this paper, we investigate the uplink resource allocation issue when D2D multicast groups share the resources with other cellular uses (CUs), while guaranteeing a certain level of quality of service (QoS) to CUs and D2D users. Firstly we address a flexible tradeoff framework in which the system power consumption and the system capacity (i.e., the number of admitted D2D links) are assigned with different weight factors so that these two objectives are jointly considered. Then we propose an efficient resource optimization scheme, which comprises sub-channel allocation and signal-to-interference- plus-noise ratio (SINR) assignment. Numerical results validate the effectiveness of the proposed framework, and demonstrate the advantages in dealing with the proposed multi-objective optimization problem. Full article
(This article belongs to the Special Issue Green Wireless Networks)
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