Adeb Salh
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View article: Memory-Efficient Iterative Signal Detection for 6G Massive MIMO via Hybrid Quasi-Newton and Deep Q-Networks
Memory-Efficient Iterative Signal Detection for 6G Massive MIMO via Hybrid Quasi-Newton and Deep Q-Networks Open
The advent of Sixth Generation (6G) wireless communication systems demands unprecedented data rates, ultra-low latency, and massive connectivity to support emerging applications such as extended reality, digital twins, and ubiquitous intel…
View article: Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems
Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems Open
High route loss and line-of-sight requirements are two of the fundamental challenges of millimeter-wave (mm-wave) communications that are mitigated by incorporating sensor technology. Sensing gives the deep reinforcement learning (DRL) age…
View article: Polarization-Insensitive, High-Efficiency Metasurface with Wide Reception Angle for Energy Harvesting Applications
Polarization-Insensitive, High-Efficiency Metasurface with Wide Reception Angle for Energy Harvesting Applications Open
This research presents an innovative polarization-insensitive metasurface (MS) harvester designed for energy harvesting applications at 5 GHz, capable of operating efficiently over wide reception angles. The proposed MS features a novel wh…
View article: Polarization-Insensitive, High-Efficiency Metasurface with Wide Reception Angle for Energy Harvesting Applications
Polarization-Insensitive, High-Efficiency Metasurface with Wide Reception Angle for Energy Harvesting Applications Open
This research introduces a polarization-insensitive metasurface (MS) capable of wide reception angles, featuring an array of wheel resonators designed for energy harvesting applications at 5 GHz. The symmetrical structure of the proposed r…
View article: Machine Learning Models for Hotel Review: A Case Study of Hotels in Perak, Malaysia
Machine Learning Models for Hotel Review: A Case Study of Hotels in Perak, Malaysia Open
Online reviews significantly impact consumer behavior and shape perceptions of services in the digital marketplace. They serve as a vital source of information, influencing purchasing decisions and brand loyalty. As a result, businesses in…
View article: Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking
Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking Open
Software-Defined Networking (SDN) is a promising solution for large-scale network management that offers extensive opportunities for optimization. However, the centralized control inherent in SDN also exposes networks to security threats, …
View article: Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks
Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks Open
There is a growing demand for low-power network devices; therefore, enabling technologies for the Internet of Things (IoT) is significantly important. This paper proposed resource allocation by maximizing the harvested energy to substantia…
View article: Enhancing Energy-Efficient Power Allocation for IoT URLLC Through Action Space Reduction in Energy Harvesting Devices
Enhancing Energy-Efficient Power Allocation for IoT URLLC Through Action Space Reduction in Energy Harvesting Devices Open
With the Internet of Things (IoT) rapidly increasing in popularity, it is necessary to progress Beyond fifth-generation (B5G) applications to support access to a large number of devices under the strict Ultra-Reliability and Low-Latency Co…
View article: Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G Open
An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. The transmission of data from IoT devices to the edge nodes leads to …
View article: Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network
Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network Open
With the rapid adoption of the Internet of Things, it is necessary to go beyond fifth-generation applications and apply stringent high reliability and low latency requirements, closely related to strict delay demands. These requirements su…