Special Section on AI-Assisted IoT Operation and Integration
Over the past few years, many conferences, workshops, and special issues have built momentum in addressing interoperability and synergy challenges in the Internet of Things. Aiming to build a Convergent-IoT (C-IoT), there have been many dimensions of development in IoT systems, most notably in the communication and data representation layers. This special issue will focus on artificial intelligence (AI) and machine learning (ML) techniques that will aid interoperability across IoT’s operational spectrum. That is, building on AI & ML to aid in all stages of IoT operation, from heterogeneous resource discovery, calibration, verification, functional augmentation, and sustenance, all the way to communication/interference management and data collection, pruning, and homogeneous representation.
As IoT is proving to be integral to recent developments in the Tactile Internet (TI), we are soliciting contributions that address synergy and convergence with Tactile Internet applications. At this stage, the focus will be on interoperability at the Tactile Edge, and how IoT could leverage TI cognizance.
This special issue will focus on encouraging developments that transcend single-function IoT deployments. While interoperability and functional convergence remain a pressing challenge, recent trends in multi-homing IoT architectures, gateways with multiple connectivity modes, and cataloguing systems that enable rapid resource discovery, have led many advancements in IoT interoperability. These developments are building on recent strides in managing hardware-agnostic low-power networks, which are promising many new frontiers in convergent operation.
We focus the scope of C-IoT 2020 on topological remedies to handle Big Data communication and scalable IoT services. While many hurdles face synergistic IoT development, we will focus on techniques from Machine Learning, to aid IoT convergence on data and information planes. That is, as we are growing more able to communicate between heterogeneous IoT architectures, it is ever more pressing to address data compatibility and information extraction from heterogeneously sourced data. This includes challenges with data representation, meta-data tagging practices, establishing the quality of resource (QoR), and quality of information (QoI) measures in heterogeneously sourced IoT data. More importantly, scaling such IoT systems is inherently tied with trusting such data, and our inference in deriving knowledge from data.
To this end, C-IoT 2020 topics will span architectures, frameworks, and implementations that address IoT interoperability, across resources, data, and information planes. That includes traditional IoT interoperability techniques (i.e. gateway-based, hub-based, mixed-mode APs with heterogeneous IoT services, service-level cataloging, etc), in addition to Machine Learning techniques that attempt to quantify QoI and QoR, as well as aid information extraction from IoT data. There is a clear demand in addressing IoT data management, and interoperability across large-scale IoT systems, and we wish to enable a dedicated venue for these pioneering directions.
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, magazine, letter, or commentary. Also, authors can submit multiple articles to the same issue.
Submission Link
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by Mukaram Shahid, Kunal Das, Taimoor Ul Islam, Christ Somiah, Daji Qiao, Arsalan Ahmad, Jimming Song, Zhengyuan Zhu, and 6 more
MS
KD
TI
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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
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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.
