scholarly journals Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8219
Author(s):  
Teena Sharma ◽  
Abdellah Chehri ◽  
Paul Fortier
Keyword(s):  
Wireless Networks ◽  
Wireless Communications ◽  
Mobile Communications ◽  
Radio Waves ◽  
Research Issues ◽  
Research Activities ◽  
Technological Advances ◽  
Comprehensive Survey ◽  
Acting Agent ◽  
Processing Techniques

With possible new use cases and demanding requirements of future 5th generation (5G) and beyond cellular networks, the future of mobile communications sounds promising. However, the propagation medium has been considered a randomly acting agent between the transmitter and the receiver. With the advent of the digital age of wireless communications, the received signal quality is degrading due to the uncontrollable interactions of the transmitted radio waves with the surrounding artifacts. This paper presents a comprehensive literature review on reconfigurable intelligent surfaces (RISs) and assisted application areas. With the RIS, the network operators can control radio waves’ scattering, reflection, and refraction characteristics by resolving the harmful properties of environmental wireless propagation. Further, the RIS can effectively control the wavefront, such as amplitude, phase, frequency, and even polarization, without requiring complex encoding, decoding, or radio wave processing techniques. Motivated by technological advances, the metasurfaces, reflectarrays, phase shift, and liquid crystals are potential candidates for implementing RIS. Thus, they can be considered the front runner for realizing the 5G and beyond network. Furthermore, the current research activities in the evolving field of wireless networks operated by RIS are reviewed and discussed thoroughly. Finally, to fully explore the potential of RISs in wireless networks, the fundamental research issues to be addressed have been discussed.

scholarly journals Backscatter Communications: Inception of the Battery-Free Era—A Comprehensive Survey

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 129 ◽  
Author(s):  
Mudasar Memon ◽  
Navrati Saxena ◽  
Abhishek Roy ◽  
Dong Shin
Keyword(s):  
Wireless Networks ◽  
Channel Coding ◽  
Data Extraction ◽  
Battery Life ◽  
Radio Waves ◽  
Next Generation ◽  
Backscatter Communication ◽  
Rf Signals ◽  
Communication Modes ◽  
Comprehensive Survey

The ever increasing proliferation of wireless objects and consistent connectivity demands are creating significant challenges for battery-constrained wireless devices. The vision of massive IoT, involving billions of smart objects to be connected to the cellular network, needs to address the problem of uninterrupted power consumption while taking advantage of emerging high-frequency 5G communications. The problem of limited battery power motivates us to utilize radio frequency (RF) signals as the energy source for battery-free communications in next-generation wireless networks. Backscatter communication (BackCom) makes it possible to harvest energy from incident RF signals and reflect back parts of the same signals while modulating the data. Ambient BackCom (Amb-BackCom) is a type of BackCom that can harvest energy from nearby WiFi, TV, and cellular RF signals to modulate information. The objective of this article is to review BackCom as a solution to the limited battery life problem and enable future battery-free communications for combating the energy issues for devices in emerging wireless networks. We first highlight the energy constraint in existing wireless communications. We then investigate BackCom as a practical solution to the limited battery life problem. Subsequently, in order to take the advantages of omnipresent radio waves, we elaborate BackCom tag architecture and various types of BackCom. To understand encoding and data extraction, we demonstrate signal processing aspects that cover channel coding, interference, decoding, and signal detection schemes. Moreover, we also describe BackCom communication modes, modulation schemes, and multiple access techniques to accommodate maximum users with high throughput. Similarly, to mitigate the increased network energy, adequate data and power transfer schemes for BackCom are elaborated, in addition to reliability, security, and range extension. Finally, we highlight BackCom applications with existing research challenges and future directions for next-generation 5G wireless networks.

Generative Adversarial Networks (GANs)

2021 ◽  
Vol 54 (3) ◽  
pp. 1-42
Author(s):  
Divya Saxena ◽  
Jiannong Cao
Keyword(s):  
Optimization Technique ◽  
Generative Models ◽  
Generative Adversarial Networks ◽  
Network Architectures ◽  
Research Directions ◽  
Research Issues ◽  
Design And Optimization ◽  
Adversarial Networks ◽  
Comprehensive Survey ◽  
Selection Of

Generative Adversarial Networks (GANs) is a novel class of deep generative models that has recently gained significant attention. GANs learn complex and high-dimensional distributions implicitly over images, audio, and data. However, there exist major challenges in training of GANs, i.e., mode collapse, non-convergence, and instability, due to inappropriate design of network architectre, use of objective function, and selection of optimization algorithm. Recently, to address these challenges, several solutions for better design and optimization of GANs have been investigated based on techniques of re-engineered network architectures, new objective functions, and alternative optimization algorithms. To the best of our knowledge, there is no existing survey that has particularly focused on the broad and systematic developments of these solutions. In this study, we perform a comprehensive survey of the advancements in GANs design and optimization solutions proposed to handle GANs challenges. We first identify key research issues within each design and optimization technique and then propose a new taxonomy to structure solutions by key research issues. In accordance with the taxonomy, we provide a detailed discussion on different GANs variants proposed within each solution and their relationships. Finally, based on the insights gained, we present promising research directions in this rapidly growing field.

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

scholarly journals Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 169
Author(s):  
Sherief Hashima ◽  
Basem M. ElHalawany ◽  
Kohei Hatano ◽  
Kaishun Wu ◽  
Ehab Mahmoud Mohamed
Keyword(s):  
Machine Learning ◽  
Network Architecture ◽  
D2d Communication ◽  
Neighbor Discovery ◽  
Research Directions ◽  
Fifth Generation ◽  
Research Activities ◽  
Comprehensive Survey ◽  
Network Overhead

Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G) and beyond 5G (B5G) networks. Although D2D communication provides several benefits, including limited interference, energy efficiency, reduced delay, and network overhead, it faces a lot of technical challenges such as network architecture, and neighbor discovery, etc. The complexity of configuring D2D links and managing their interference, especially when using millimeter-wave (mmWave), inspire researchers to leverage different machine-learning (ML) techniques to address these problems towards boosting the performance of D2D networks. In this paper, a comprehensive survey about recent research activities on D2D networks will be explored with putting more emphasis on utilizing mmWave and ML methods. After exploring existing D2D research directions accompanied with their existing conventional solutions, we will show how different ML techniques can be applied to enhance the D2D networks performance over using conventional ways. Then, still open research directions in ML applications on D2D networks will be investigated including their essential needs. A case study of applying multi-armed bandit (MAB) as an efficient online ML tool to enhance the performance of neighbor discovery and selection (NDS) in mmWave D2D networks will be presented. This case study will put emphasis on the high potency of using ML solutions over using the conventional non-ML based methods for highly improving the average throughput performance of mmWave NDS.

Signal Processing Techniques in Smart Grids

2017 ◽  
pp. 1278-1302
Author(s):  
Zahoor Uddin ◽  
Nadir Shah ◽  
Ayaz Ahmad ◽  
Waqar Mehmood ◽  
Farooq Alam
Keyword(s):  
Signal Processing ◽  
Smart Grid ◽  
Smart Grids ◽  
Digital Signal ◽  
Future Research ◽  
System Control ◽  
Comprehensive Survey ◽  
Efficient Data ◽  
Processing Techniques ◽  
Signal Processing Techniques

Basic concept of a smart grid is to have monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand and reduce the energy consumption and cost. Implementing the smart grid will require intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts in the grid. In short, we can say that the modern efficient data processing and communication technologies require advance digital signal processing techniques used in smart grid. This chapter first provides a comprehensive survey on the applications of signal processing techniques in smart grid. The challenges and limitations of signal processing techniques regarding the smart grid are also presented. Literature review of the recent advances in smart grid is also presented. This chapter also outlines some future research directions related to the field of applications of signal processing techniques in smart grid.

Electronic Research Collaboration via Access Grid

2016 ◽  
pp. 147-156
Author(s):  
Jingjing Zhang
Keyword(s):  
Professional Learning ◽  
Research Collaboration ◽  
Qualitative Case Study ◽  
Face To Face ◽  
Connected Network ◽  
Research Activities ◽  
Technological Advances ◽  
Time Distance ◽  
Access Grid

Recent technological advances are providing new and exciting opportunities for researchers to work together across the conventional boundaries of time, distance, and discipline. These advances have formed new networks of research, both in electronic mediums and in face-to-face environments, different from traditional networks in terms of their changing nature and scope. This paper reports some of the preliminary findings from a qualitative case study of the establishment of the ‘EMT project'. It attempts to illustrate how the EMT project as a connected network formulates positive academic interactions and consequently facilitates professional learning immersed in research activities. In parallel, the study examines the benefits and problems arising from the sense of being together across time and space supported by advanced networked technologies in collaborative research, and further identifies the gap between the academic and the technical perspective in research.

Optically Driven, RF Transmit Phased Array Antennas for Mobile Communications and Wireless Networks

2020 ◽  
pp. 1-17
Author(s):  
Dennis W. Prather ◽  
Shouyuan Shi ◽  
Matthew R. Konkol ◽  
Garrett J. Schneider ◽  
Janusz Murakowski ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Mobile Communications ◽  
Phased Array ◽  
Phased Array Antennas ◽  
Array Antennas

scholarly journals On Theoretical Incomprehensibility

Philosophies ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 49
Author(s):  
Gianfranco Minati
Keyword(s):  
Cognitive Abilities ◽  
Cognitive Strategies ◽  
Theoretical Research ◽  
Paradigm Shifts ◽  
Research Issues ◽  
Logical Frameworks ◽  
Technological Advances ◽  
Artificial Creativity ◽  
Quasi Crystals

This contribution tentatively outlines the presumed conceptual duality between the issues of incompleteness and incomprehensibility—The first being more formal in nature and able to be declined in various ways until specified in the literature as theoretical incompleteness. This is theoretical and not temporary, which is admissible and the completion prosecutable. As considered in the literature, theoretical incompleteness refers to uncertainty principles in physics, incompleteness in mathematics, oracles for the Turing Machine, logical openness as the multiplicity of models focusing on coherence more than the optimum selections, fuzziness, quasiness, e.g., quasi-crystals, quasi-systems, and quasi-periodicity, which are intended as the space of equivalences that allow for coherent processes of emergence. The issue of incomprehensibility cannot be considered without reference to an agent endowed with cognitive abilities. In this article, we consider incomprehensibility as understood here as not generally scientifically explicable, i.e., with the available knowledge, as such incomprehensibility may be temporary, pending theoretical and technological advances, or deemed to be absolute as coincident with eventual definitive, theoretical non-explicability, and incomprehensibility. We considered the theoretically incomprehensibility mostly in three main ways: as the inexhaustibility of the multiplicity of constructivist reality as given by the theoretically incomprehensible endless loop of incomprehensible–comprehensible, and by existential questions. Moreover, theoretical incomprehensibility is intended as evidence of the logical openness of both the world and of understanding itself. The role of theoretical incomprehensibility is intended as a source of theoretical research issues such as paradoxes and paradigm shifts, where it is a matter of having cognitive strategies and approaches to look for, cohabit, combine, and use comprehensibility and (theoretical) incomprehensibility. The usefulness of imaginary numbers comes to mind. Can we support such research for local, temporary, and theoretical incomprehensibility with suitable approaches such as software tools, for instance, that simulate the logical frameworks of incomprehensibility? Is this a step toward a kind of artificial creativity leading to paradigm shifts? The most significant novelty of the article lies in the focus on the concept of theoretical incomprehensibility and distinguishing it from incomprehensibility and considering different forms of understanding. It is a matter of identifying strategies to act and coexist with the theoretically incomprehensible, to represent and use it, for example when dealing with imaginary numbers and quantum contexts where classical comprehensibility is theoretically impossible. Can we think of forms of non-classical understanding? In this article, these topics are developed in conceptual and philosophical ways.

scholarly journals Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 676 ◽  
Author(s):  
Mohammed H. Alsharif ◽  
Anabi Hilary Kelechi ◽  
Mahmoud A. Albreem ◽  
Shehzad Ashraf Chaudhry ◽  
M. Sultan Zia ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Communication Systems ◽  
Future Research ◽  
Competitive Edge ◽  
Fifth Generation ◽  
Research Activities ◽  
Sixth Generation ◽  
Critical Issues ◽  
Future Research Directions ◽  
Communication Needs

The standardization activities of the fifth generation communications are clearly over and deployment has commenced globally. To sustain the competitive edge of wireless networks, industrial and academia synergy have begun to conceptualize the next generation of wireless communication systems (namely, sixth generation, (6G)) aimed at laying the foundation for the stratification of the communication needs of the 2030s. In support of this vision, this study highlights the most promising lines of research from the recent literature in common directions for the 6G project. Its core contribution involves exploring the critical issues and key potential features of 6G communications, including: (i) vision and key features; (ii) challenges and potential solutions; and (iii) research activities. These controversial research topics were profoundly examined in relation to the motivation of their various sub-domains to achieve a precise, concrete, and concise conclusion. Thus, this article will contribute significantly to opening new horizons for future research directions.

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