Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Spectrum and Energy Efficient 5G Wireless Communications
share announcement

Spectrum and Energy Efficient 5G Wireless Communications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 10380

Special Issue Editors

Prof. Dr. José Joaquín Escudero-Garzás

E-Mail Website
Guest Editor
Department of Signal Theory and Communications, Carlos III University of Madrid, Leganés, Spain
Interests: wireless network optimization; 5G wireless networks; smart grids
Dr. Martha Cecilia Paredes

E-Mail Website
Co-Guest Editor
Departamento de Electrónica Telecomuniaciones y Redes de Información (DETRI), Escuela Politécnica Nacional, Quito, Ecuador
Interests: multicarrier communications; OFDM transmissions; 5G networks; signal processing for wireless communications
Dr. Sergio Fortes

E-Mail Website
Co-Guest Editor
Communications Engineering Department, University of Málaga, Málaga, Spain
Interests: mobile communications; 5G wireless network optimization, 5G wireless networks; machine learning; data analytics; fault management; self-organizing networks; proactive network management; localization; context-awareness; IoT communications

Special Issue Information

Dear Colleagues,

The attribute “efficiency” is defined as performing or functioning effectively with the least waste of time and effort. This attribute has been one of the top goals in the development and operation of mobile networks in a search by network operators looking to obtain the most profit at the lowest possible cost. Recently, the constant arrival to the market of more and more mobile applications that require very large data rates has caused exponential growth in wireless network traffic and exacerbated network operation and management issues, prompting further efforts to guarantee network efficiency.

Two leading trends to address efficiency stand out in the wireless communications area. As the frequency range available for communications is a scarce resource, spectrum efficiency constitutes the most straightforward approach to make use of frequency bands with the maximum possible exploitation of the radio resources. On the other hand, to deal with economic and environmental concerns, energy consumption has become a primary target in the design and operation of wireless communications.

However, the advent of 5G systems, which will necessarily incorporate these two pillars, implies a series of new challenges in addressing system efficiency when 5G characteristics and techniques are incorporated. The 5G ecosystem includes network slicing, MIMO and massive MIMO, numerology, ultra-dense networks, millimetric waves, intelligent surfaces, and unmanned aerial vehicles (UAVs).

Therefore, to overcome the above-mentioned hurdles, studies and models can be proposed to foster the current state of the art while considering technical, environmental, and economic aspects of efficient 5G networks. The objective of this Special Issue is to collect original studies in the field of spectrum- and energy-efficient communications, with emphasis on their accommodation to 5G networks. Researchers are invited to submit their manuscripts to this Special Issue and contribute their proposals, reviews, and models. Of particular interest to this Special Issue are relevant studies addressing the design of optimization algorithms for resource allocation, network topologies, interference management schemes, massive MIMO, new modulation and coding schemes, signal processing techniques, artificial-intelligence-based approaches, and new spectrum- and energy-efficient medium access protocols to achieve spectrum- and energy-efficient communications.

Prof. Dr. José Joaquín Escudero-Garzás
Guest Editor
Dr. Martha Cecilia Paredes
Dr. Sergio Fortes
Co-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 submissions that pass pre-check are 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. Electronics 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 2400 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

  • Spectral efficiency
  • energy efficiency
  • Wireless
  • Spectrum sharing
  • Power allocation
  • Spectrum allocation
  • Optimization
  • Dense networks
  • Massive MIMO
  • Frequency reuse
  • Interference management
  • Artificial intelligence

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 384 KiB  
Article
Optimal Power Allocation for Achieving Secure Green Cognitive Radio Networks
by Ramnaresh Yadav, Keshav Singh and Ashwani Kumar
Electronics 2022, 11(13), 1952; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11131952 - 22 Jun 2022
Cited by 1 | Viewed by 1113
Abstract
In cognitive radio networks, wireless nodes adapt to the surrounding radio environment and utilize the spectrum of licensed users. The cognitive radio environment is dynamic, and wireless channels are accessible by both legitimate and illegitimate users. Therefore, maintaining the security of cognitive radio [...] Read more.
In cognitive radio networks, wireless nodes adapt to the surrounding radio environment and utilize the spectrum of licensed users. The cognitive radio environment is dynamic, and wireless channels are accessible by both legitimate and illegitimate users. Therefore, maintaining the security of cognitive radio networks is a challenging task, which must be addressed thoroughly. Further, with the recent exponential surge in wireless nodes and associated high data rate requirements, energy consumption is also growing at an unprecedented rate. Hence, energy efficiency becomes an important metric that must be considered in the design of future wireless networks. Accordingly, by considering the great ecological and economic benefits of green wireless networks, this work focus on energy-efficient resource allocation in secure cognitive radio networks. Since physical-layer security is an emerging technique that improves the security of communication devices, in this paper, an ergodic secure energy efficiency problem for a cognitive radio network is formulated with a primary user, a secondary user, and an eavesdropper. As the formulated problem is non-convex, a concave lower bound is applied to transform the original non-convex problem into a convex one. Further, by adopting the fractional programming and dual decomposition techniques, optimal power allocation strategies are obtained with the aim of maximizing the ergodic secure energy efficiency of the secondary user with constraints on the average interference power and average transmit power. Numerical examples are used to demonstrate the effectiveness of the proposed algorithm. Full article
(This article belongs to the Special Issue Spectrum and Energy Efficient 5G Wireless Communications)
►▼ Show Figures

Figure 1

16 pages, 2157 KiB  
Article
Performance Analysis of Intelligent Reflecting Surface-Assisted Multi-Users Communication Networks
by Muhamad Mustaghfirin, Keshav Singh, Sudip Biswas and Wan-Jen Huang
Electronics 2021, 10(17), 2084; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10172084 - 27 Aug 2021
Cited by 5 | Viewed by 3016
Abstract
An intelligent reflecting surface (IRS) is an array that consists of a large number of passive reflecting elements. Such a device possesses the potential to extend the coverage of transmission in future communication networks by overcoming the effects of non line-of-sight propagation. Accordingly, [...] Read more.
An intelligent reflecting surface (IRS) is an array that consists of a large number of passive reflecting elements. Such a device possesses the potential to extend the coverage of transmission in future communication networks by overcoming the effects of non line-of-sight propagation. Accordingly, to present the case for utilizing IRS panels in future wireless networks, in this paper, we analyze a multi-user downlink network aided by IRS. In particular, by using a realistic 5G channel model, we compare the performance of the IRS-aided network with a decode and forward (DF) relay-aided scenario and a network without IRS or relay. Our analysis revealed the following: (i) At best, communication aided by a DF relay with perfect channel state information (CSI) could match the performance of the IRS-aided network with imperfect CSI when the channel estimation error was high and the number of users was large. (ii) IRS-aided communication outright outperformed the DF relay case when the transmit power was high or the number of users in the network was low. (iii) Increasing the number of elements in an IRS translated to greater quality of service for the users. (iv) IRS-aided communication showed better energy efficiency compared with the other two scenarios for higher quality of service requirements. Full article
(This article belongs to the Special Issue Spectrum and Energy Efficient 5G Wireless Communications)
►▼ Show Figures

Figure 1

21 pages, 2973 KiB  
Article
Interference Mitigation and Power Minimization in 5G Heterogeneous Networks
by Mayada Osama, Salwa El Ramly and Bassant Abdelhamid
Electronics 2021, 10(14), 1723; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10141723 - 18 Jul 2021
Cited by 12 | Viewed by 3187
Abstract
Macro cells’ (MCs) densification with small cells (SCs) is one of the promising solutions to cope with the increasing demand for higher data rates in 5G heterogeneous networks (HetNets). Unfortunately, the interference that arises between these densely deployed SCs and their elevated power [...] Read more.
Macro cells’ (MCs) densification with small cells (SCs) is one of the promising solutions to cope with the increasing demand for higher data rates in 5G heterogeneous networks (HetNets). Unfortunately, the interference that arises between these densely deployed SCs and their elevated power consumption have caused huge problems facing the 5G HetNets. In this paper, a new soft frequency reuse (SFR) scheme is proposed to minimize the interference and elevate the network throughput. The proposed scheme is based on on/off switching the SCs according to their interference contribution rate (ICR) values. It solves the interference problem of the densely deployed SCs by dividing the cell region into center and edge zones. Moreover, SCs on/off switching tackles the elevated power consumption problem and enhances the power efficiency of the 5G network. Furthermore, our paper tackles the irregular nature problem of 5G HetNets and compares between two different proposed shapes for the center zone of the SC: circular, and irregular shapes. Additionally, the optimum radius of the center zone, which maximizes the total system data rate, is obtained. The results show that the proposed scheme surpasses the traffic and the random on/off switching schemes, as it decreases the outage probability and enhances the total system data rate and power efficiency. Moreover, the results demonstrate the close performance of both the irregular and circular shapes for the center zone. Full article
(This article belongs to the Special Issue Spectrum and Energy Efficient 5G Wireless Communications)
►▼ Show Figures

Figure 1

18 pages, 4092 KiB  
Article
Energy-Efficient and Reliable Internet of Things for 5G: A Framework for Interference Control
by Radwa Ahmed Osman and Amira I. Zaki
Electronics 2020, 9(12), 2165; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics9122165 - 17 Dec 2020
Cited by 6 | Viewed by 1882
Abstract
The Internet of Things (IoT) is one of the promising paradigms that enable massive machines and devices to communicate with each other in future communication networks to promote a high level of awareness about our world and improve our daily life. IoT devices [...] Read more.
The Internet of Things (IoT) is one of the promising paradigms that enable massive machines and devices to communicate with each other in future communication networks to promote a high level of awareness about our world and improve our daily life. IoT devices (IoTDs) communicate with an IoT base station (IoTBS) or IoT gateway (IoTG) by sharing the resources of other cellular users (CUEs). Due to the leakage of the spectral efficiency, interference exists among IoTG and base station (BS) due to CUEs and IoTDs. In this paper, a new framework is proposed called the interference control model. This proposed model aims to control the interference among IoTG and BS and is based on using the Lagrange optimization technique to reduce interference and maximize the energy efficiency and reliability of the IoT and cellular networks in fifth-generation (5G) systems. First, we formulate the multi-objective optimization problem to achieve the objective of the proposed model. Then, based on the optimization strategy, we derive the closed-form expressions of key quality-of-service (QoS) performance such as system reliability, throughput, and energy efficiency. Finally, the proposed algorithm has been evaluated and examined through different assumptions and several simulation scenarios. The obtained results validate the effectiveness and the accuracy of our proposed idea and also indicate significant improvement in the network performance of IoT and cellular networks. Full article
(This article belongs to the Special Issue Spectrum and Energy Efficient 5G Wireless Communications)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop