AI-empowered Reconfigurable Metasurfaces: The New Horizon of “Connected-Intelligence”
AI-empowered Reconfigurable Metasurfaces: The New Horizon of “Connected-Intelligence”
Future sixth-generation (6G) wireless networks are envisaged to revolutionize the way how everything is connected, by offering a plethora of diverse smart applications over a ubiquitous, unified, self-sustainable, and fully intelligent platform. The rapidly changing wireless networks are evolving towards unleashing intelligence and software-defined functionalities, in which artificial intelligence (AI) will be the driving force that controls, optimizes, and configures all elements in the network. However, through this revolutionary process, radio environments remain unlikely amenable to control. Specifically, until recently, system designers are tailoring the network components, including transmitter/receiver design, protocols, algorithms, etc., in a way that enables these components to efficiently operate in random wireless environments.
Corresponding to the breakthrough advancements in hardware technologies, reconfigurable intelligent surface (RIS) has emerged as a revolutionary energy and spectrally efficient technology, which is capable of offering a programmable control over the wireless environment. Specifically, the unique structure of an intelligent surface, which constitutes a number of metasurfaces, is artificially engineered in order to allow full manipulation of the incident electromagnetic (EM) waves. At the macroscopic level, metasurfaces exhibit unique EM properties, such as customized permittivity and permeability levels, and negative refraction. Consequently, this enables metasurfaces to realize unprecedented features when interacting with impinging EM waves, including wave focusing, absorption, scattering, and polarization, in a way that enhances the performance of wireless systems in terms of coverage, rate, etc. It is worth mentioning that metasurfaces leverage these unique abilities without any limitation on their operating frequency.
This newly emerged technology will essentially require the development of a novel, tractable and adaptive model, known as Reconfigurable Intelligent Surface (RIS), to cope with its unique electromagnetic nature. In order to perform the required functionalities in the RIS, it is necessary to integrate network controllers with RISs in order to support real-time adaptivity of RIS functionalities. In light of this, it is foreseen that the implementation of RIS in future wireless networks would require a high and sophisticated level of coordination and optimization. Therefore, it is envisioned that AI will be an indispensable tool for realizing software-defined intelligent surfaces in future 6G networks. Specifically, besides on-demand network optimization, AI is expected to cope with the high computational complexity associated with RIS real-time programming, controlling, and planning. This new era of AI-empowered metasurfaces opens up new horizons and research directions, including learning mechanisms, knowledge management, and data analytics techniques, to name a few.
The purpose of this special issue is to address fundamental and practical challenges for the efficient design of AI-empowered RIS, proposing new efficient protocols and techniques. More specifically, this special issue will bring together leading researchers and developers from both industry and academia to present their views on the current trends and challenges, addressing various concerns related to AI-empowered RIS. The papers will be peer-reviewed by at least three independent experts and will be selected on the basis of their quality and relevance to the theme of this special issue.
TOPICS (includes but not limited to):
Architecture design and algorithms of AI-RIS enabled wireless networks.
Physical layer security in AI-RIS enabled wireless networks.
Energy efficient schemes for AI-RIS enabled wireless networks.
Performance analysis and optimization of AI-RIS enabled wireless networks.
AI-RIS enabled fog and mobile edge computing.
Multi-user schemes in AI-RIS enabled wireless networks.
Information security, privacy, and trust in AI-RIS enabled wireless networks.
Crowdsourcing in AI-RIS enabled wireless networks.
Centralized and distributed machine learning in AI-RIS enabled wireless networks.
Integration of RISs with THz communication, multiple access techniques, and optical communications.
Submission Guideline
The submitted papers should be original, not published or currently under review for publications in any other journal. Submitted Articles have no page limits and can be any of the following types: technical, tutorial, survey, overview, magazine, letter, or commentary. Also, authors are allowed to submit multiple articles to the same issue.
EDITORS:
Prof. Paul D Yoo, Department of Computer Science and Information Systems, University of London, London WC1E 7HX, United Kingdom.
Prof. Meiling Li, Institute of Digital Media and Communications, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Prof.Sanjeev Gurugopinath, Department of ECE, PES University, BSK III Stage, Bengaluru - 560085, India.
Prof. Sami Muhaidat, Center for Cyber-Physical Systems, Khalifa University, UAE, and also with Carleton University, Ottawa, ON K1S 5B6, Canada.
Dr. Lina Bariah, Center for Cyber-Physical Systems, Khalifa University, UAE.
Editors of the Special Area Section on AI Metasurfaces
Submission Link
Click the following button when you have a formatted manuscript ready for submission
OR create a Pub to begin writing your article with your co-authors using our cloud, hybrid word-latex, built-in editor and then submit from within the editor after you finish drafting the article (this option is good for those who want to use our cloud-based, built-in editor instead of using third party editors, such as Word, Latex, Overleaf, etc.)
by Mukaram Shahid, Kunal Das, Taimoor Ul Islam, Christ Somiah, Daji Qiao, Arsalan Ahmad, Jimming Song, Zhengyuan Zhu, and 6 more
MS
KD
TI
CS
DQ
AA
+8
Published: Jun 30, 2024
This study explores the challenges faced by farmers and service providers when using shared spectrum bands to deploy their networks while ensuring maximum system performance and minimizing interference with other users.
In this article, security design requirements for non-orthogonal Multiple Access (NOMA) and solutions provided by Physical Layer Security (PLS) to fulfill these requirements are discussed. The merits and challenges encountered while employing PLS to NOMA are identified.
The authors propose the use of an intelligent physical layer security framework for V2X communication, called intelligent V2X security (IV2XS), to provide a reliable and robust solution capable of adapting to different conditions, scenarios and user requirements.
by Chiara Risi, Daniel Persson, and Erik G. Larsson
CR
DP
EL
Published: Jul 31, 2024
Receivers that rely on 1-bit Analog-to-Digital Converters (ADC) do not need energy-consuming interfaces such as automatic gain control (AGC), thus decreasing the ADC building and operational costs as well as saving energy.
The article highlights the potential of Ambient Intelligence (AmI) in transforming the human/technology interaction and meeting the evolving needs of users in future wireless systems.
by Andrew Avtushenko, Sergey Kostanbaev, Timur Davydov, Andrey Bakhmat, Alexey Shamrin, Boris Bulanov, Nikolay Zhukovsky, Boris Kolesnikov, and 2 more
AA
SK
TD
AB
AS
BB
+4
Published: Mar 31, 2024
uSDR is an embedded software-defined radio (SDR) board that is optimized for ease of use and collaboration. It incorporates WebUSB technology, which enables full functionality in web browsers—under Linux, Windows, MacOS, and Android—without requiring specific drivers or software
Being a country that can defend itself with its national systems is now a matter of existence for sure, thus, the most important step of a country's defense against attack risks is undoubtedly through building and deploying capable, reliable, and effective air defense systems.
The rise of AI, edge computing, network slicing, and IoT systems is reshaping industries, from healthcare and transportation to agriculture and smart cities. To address the unique requirements of IoT, 5G alone is not enough, and much more agile networks like 2G is required.
by John Ferguson, Steven Kline, and Peter Witkowski
JF
SK
PW
Published: Mar 31, 2024
The article compressively explains all the details of the Artificial Intelligence Radio Transceiver (AIR-T), which is a high performance software-defined radio (SDR) board seamlessly integrated with the state-of-the-art advanced processing and deep learning inference hardware
The paper focuses on the development and evaluation of a deep learning-based intrusion detection system for 5G networks, which aims to address some of the main critical network security concerns.
In this article, the authors take a deep dive into B41 band and give a brief history of the technology and showcase how First Nations and higher education facilities are using the spectrum.
by Arda Akman, Suzy Gu, Jinri Huang, Ian Wong, Haseeb Akhtar, Scott Poretsky, Jan Balas, Qi Sun, and 17 more
AA
SG
JH
IW
HA
SP
+19
Published: Nov 06, 2023
The paper extends the previous knowledge on the Open RAN concept and outlines the O-RAN Alliance’s focus on several key areas to accelerate and enable the introduction of the rich capabilities of O-RAN architecture in commercial networks
by Claudio Coletti, William Diego, Ran Duan, Saeed Ghassemzadeh, Dhruv Gupta, Jinri Huang, Kaustubh Joshi, Ryusuke Matsukawa, and 5 more
CC
WD
RD
SG
DG
JH
+7
Published: Nov 01, 2023
Mobile networks and the equipment that runs them must become more open, software-driven, virtualized, flexible, intelligent and energy efficient. The O-RAN Alliance is committed to evolving radio access networks— making them more open and smarter than previous generations
MU-STBC is uniquely redesigned with auxiliary signals superimposed on top of users' data during the transmission process to intelligently cancel inter-user interference and channel effects at the receiver while keeping the reception process much simpler and less power-consuming
by Nadeem Jabbar CH*, Aqib Saghir, Ayaz Ahmad Meer, Salman Ahmad Sahi, Bilal Hassan, and Siddiqui Muhammad Yasir
NC
AS
AM
SS
BH
Published: May 31, 2023
This article aims to thoroughly examine and quantify the effectiveness of Deep Learning approaches for media forensics, with a focus on the most recent DeepFake trends, iterations, detection and discussion of its features and drawbacks.
The article highlights the differences between Amarisoft and srsRAN solutions and emphasizes the need for operators to consider their specific requirements and priorities when making a selection between the two.
by Malik Areem, Nafees Malkomin, and Salameh Randdam
MA
NM
SR
Published: Apr 24, 2023
In this work, we explore the various industries and professions that are most vulnerable to automation and AI disruption. We also delve into the ways in which ChatGPT, a cutting-edge language model, is revolutionizing the way we communicate and interact with technology.
by Mohamed Hussien, Mamdouh Goudaa, and Hadia Elhennawyb
MH
MG
HE
Published: May 31, 2023
The authors of this article focus on solving the PAPR problem of FBMC System using improved harmony search optimization methods adopting the hybrid clipping partial transmit sequence concept
by Shaheer Khalid, Sadiq Iqbal, and Jehad M. Hamamreh
SK
Published: Mar 30, 2022
The authors propose a novel hybrid coordinated multi-point (H-CoMP) design for cell-edge users in 6G networks to combat inter-cell interference (ICI), inter-user interference (IUI), and improve spectral efficiency via using a new, novel channel-based precoding-based approach.
by Muhammet Kirik, Mehmet O. Sagman, and Jehad M. Hamamreh
MK
MS
Published: Mar 28, 2022
This work aims to deeply investigate and quantify the performance of a very strong candidate technique for meeting the ultra-reliability requirement of 6G, namely MIMO-ANM, under the joint simultaneous utilization of both Transmit Antenna Selection and Maximum Ratio Combination
The authors propose a technique that is capable of doubling the spectral efficiency per area and per device by modulating a recently developed multiple access design called multi-user auxiliary signal superposition transmission through a transmission technique called OFDM-SPM
by Hamza Ali, Shaheer Khalid, Sadiq Iqbal, and Jehad M. Hamamreh
HA
SK
Published: Mar 25, 2022
Authors propose a novel hack-proof framework that can perfectly secure IMSI numbers, resulting in having protection against spoofing attacks. The proposed algorithm includes a mobile device (UE) and a gNodeB (BS) that communicate in the clear to authenticate each other securely.
In this paper, a new technique based on the Isosceles Trapezoidal Distribution Transform (ITDT) is proposed to reduce the PAPR of FBMC/OQAM transceiver by transforming original Gaussian distributed FBMC signals into an Isosceles Trapezoidal, while maintaining a constant evelope.
The authors shed light on MIMO systems with their relevant technologies by categorizing them into two approaches; 1) centralized (co-located), which covers most conventional MIMO schemes, and 2) decentralized (distributed) approach, which covers both pCell & CF-MMIMO.
In this work, a secure data transmission application of Antenna Number Modulation (ANM) is presented in the presence of an eavesdropper, whose received data is mixed by an interference signal superpositioned(ISS) with the original signal transmitted to the legitimate receiver.
by Shaheer Khalid, Sadiq Iqbal, and Jehad M. Hamamreh
SK
Published: Dec 23, 2021
The authors introduce and model a newly proposed concept that utilizes supporting signals superimposed with the users' data signals to cancel inter-cell interference for users located at the cell edge. This is achieved without sacrificing temporal, spectral, or spatial resources.
Motivated by the many benefits enabled by Open RAN, there is a need for an educational comprehensive step-by-step tutorial on how an individual/company can practically build and deploy a 5G network using open-source software and commercial off-the-shelf, general-purpose hardware
Multi-User OFDM-SNM is proposed in this paper for serving multiple users by dedicating the subcarriers used for implementing SNM to serve a far user, whereas the remaining subcarriers, which are used to be inactive in conventional OFDM-SNM, are used to send data for a near user.
The authors develop and present a novel antenna design, called an icosahedron-Sierpiński fractal monopole antenna, where the key merit of such a geometry is its ability to capture a wide range of frequencies due to its multi-band characteristic and three-dimensional structure.
In this work, the authors propose a novel signal superposition-based dual transmission ARQ communication technique that is capable of simultaneously improving data rates from one side and reducing data errors from another side for low complexity IoT devices in future 6G systems.
In this work, authors analyze and quantify the security performance of Hybrid MIMO, which was originally proposed by the preceding work titled “Hybrid MIMO: A New Transmission Method For Simultaneously Achieving Spatial Multiplexing and Diversity Gains in MIMO Systems”.
In this work, the authors propose a novel transmission method that uses intelligent signals design to eliminate interference and mitigate channel effects at the receiver while ensuring less complexity reception.
The authors propose the use of Convolutional Neural Networks (CNN) based equalizer for orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM) in order to significantly improve its reliability performance.
In this paper, the transmission method named Orthogonal Frequency Division Multiplexing with Subcarrier-Power Modulation and Space-Time Block Coding (OFDM-SPM-STBC) is compounded with Back Propagation Artificial Neural Network (BPANN) in a multiple-input-single-output setup...
by Sadiq Iqbal, Shaheer Khalid, and Jehad M. Hamamreh
SK
Published: Jun 30, 2021
The authors develop a novel, new MIMO technique that utilizes superimposed auxiliary signals to simultaneously provide multiplexing and diversity gains as well as reduce complexity and processing at the receiver side, thus making it suitable for MIMO-based IoT applications
The authors develop a novel, new non-orthogonal transmission design, termed as Multi-User Auxiliary Signal Superposition Transmission (MU-AS-ST), which utilizes spatial diversity along with specially designed auxiliary signals superimposed with users’ data to improve performance
by Abdealrahman Abuqamar, Jehad M. Hamamreh, and Mohamedou Abewa
MA
Published: May 17, 2021
In this work, OFDM-SPM technique is compounded with Alamouti space-time block coding (STBC) in a multiple-input-single-output (MISO) setup to study, investigate and quantify the wireless system’s performance of their combination over a wireless multipath Rayleigh fading channel.
In this work, the authors propose a novel MIMO technique for simultaneously achieving multiplexing and diversity gains as well as completely eliminating any processing at the MIMO receiver, thus leading to advantages such as low complexity and low power consumption.
In this work, the authors prove the ability of non-coherent OFDM with subcarrier power modulation (NC-OFDM-SPM), which has been proposed as a two-dimensional modulation scheme, in achieving the coherent performance of plain OFDM scheme, under proper power reassignment mechanism.
by Naman Bhoj, Ashutosh Tripathi, Granth Singh Bisht, Adarsh Raj Dwivedi, Bishwajeet Pandey, and Nitin Chhimwal
NB
AT
GB
AD
BP
NC
Published: Apr 10, 2021
In this work, the authors devise an intelligent solution that can detect malicious websites on the web in real-time systems. In particular, the authors perform a comparative analysis of various feature selection techniques to build a time-efficient and accurate predictive model.
by Seyit Karatepe, Muhammet Kirik, and Jehad M. Hamamreh
SK
MK
Published: Apr 06, 2021
Multi-User MIMO-ANM is proposed in this work as a novel non-orthogonal multi-access transmission method that targets serving multiple users by dedicating the antennas used for implementing ANM to serve a far user, whereas the remaining antennas are used to serve a near user.
by Muhammad Furqan Zia, Haji M. Furqan, and Jehad M. Hamamreh
Published: Apr 06, 2021
A highly efficient non-orthogonal signals’ superposition technique with the dual transmission for multi-cell, multi-user, and multi-carrier IoT is presented. The proposed technique provides secure and reliable transmission of data and is suitable for IoT-based communication.
