Featured Articles

The authors introduce ZIMUX, a novel non-orthogonal, yet zero-interference multiplexing method with no need for SIC or equalization at the receiver, designed to achieve completely interference-free, secure, and reliable transmission in future wireless networks (6G and Beyond).

The authors propose a novel non-orthogonal multiple access technology for 6G networks, where they build an innovative new non-orthogonal transmission scheme using specially designed signals superimposed with the users’ data to overcome the conventional NOMA's five main big issues

This paper discusses the operation modes of ISs, particularly focusing on rolling shutter and global shutter mechanisms, and highlights challenges such as noise interference, synchronization, and non-linearity.

This paper evaluates the quality of audio signals transmitted through a short-range analog Intensity Modulation/Direct Detection (IM/DD) VLC link.

This paper explores the integration of OWC, RF, and fiber technologies, highlighting the challenges of line-of-sight requirements, ambient light interference, and the need for seamless integration with existing wireless systems

In this paper, Deep Neural Network (DNN) is considered as a discrete-time dynamical system due to its layered structure. The complexity provided by the nonlinearity in the DNN dynamics is analyzed in terms of topological entropy and chaos characterized by Lyapunov exponents.

The author analyzed the conflict between communications and sensing in terms of bandwidth and power. It is found that the bandwidth is approximately partitioned between communication and sensing, thus making an almost zero-sum game, while the conflict in the power is marginal.

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.

The authors provide a comprehensive review of state-of-the-art GenAI techniques, focusing on their application to RF sensing problems.

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.

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.

In this article, the authors look at the benefits that WiFi 7 (IEEE 802.11be) delivers and how they expect the adoption of this technology to develop.

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.

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.

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.

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

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

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.

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.

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

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.

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

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.

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...

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

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.