Jehad M. Hamamreh

A novel modulation technique termed as orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM) has been proposed for achieving highly spectral-efficient, low complexity data transmission in future 6G and beyond wireless communication systems.

This paper proposes an autonomous first response drone-based (Auto-FRD) smart rescue system. Auto-FRD paradigm uses drones to provide quick response to critical situations in a smart city setting. The system comprises three main sections: sensor network, intelligent drones, & ...

Multiple input multiple output system with antenna number modulation (MIMO-ANM) is proposed in this paper as a novel transmission method that can be used instead of conventional MIMO with spatial modulation (MIMO-SM) for providing more advantageous and reliable data transmission.

This article proposes a new non-coherent modulation scheme called orthogonal frequency division multiplexing with subcarrier power modulation and differential phase-shift keying (OFDM-SPM-DPSK), as an effective modulation technique for future 6G and beyond systems.

In this work, the authors demonstrate a low complexity channel prediction method using neural networks. Specifically, they explore the power of recurrent neural network utilizing long-short memory cells in analyzing time series data for achieving accurate channel prediction.

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

This work proposes the design of a secure, resilient, effective, and low complexity NOMA communication scheme that can provide zero information leakage to both external and internal eavesdroppers (perfect secrecy) without having the receiver to do any additional processing.

This article proposes a novel non-orthogonal, multi-user security technique for achieving reliable, efficient and secure communication in MISO systems. The proposed algorithm combines the benefit of pre-coder matrices with simultaneous transmission using antenna diversity.

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.

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.

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 overview and explore state-of-the-art research in the field of contactless wireless sensor technology in medicine, where they explain, summarize, and classify a plethora of wireless sensing technologies and techniques with the highest impact on contactless healthcare

Signal space diversity (SSD) along with coordinate interleaving is proposed in this work to be integrated with OFDM‐SPM to help improve the overall BER performance, thus resulting in a performance improvement of more than 5 dB compared to conventional OFDM-SPM without SSD.

Multiple MIMO with joint block Antenna Number Modulation (M-MIMO-ANM) is proposed as a novel transmission method that exploits the features of both Massive Multiple Input Multiple Output (M-MIMO) and Antenna Number Modulation (ANM) concepts to improve the system performance more

Motivated by the need to address the limitations of the existing power domain NOMA schemes, this work presents four novel NOMA-inspired communication schemes for enhancing security and reliability of low complexity massive machine-type communications in future wireless networks.

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.

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.

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.

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, 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.

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, 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.

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

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 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 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.

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”.

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.

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.

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

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 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.

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

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 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.

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.