A5089293990- Millimeter-Wave Propagation and Modeling
- Telecommunications and Broadcasting Technologies
- Antenna Design and Analysis
- Optical Wireless Communication Technologies
- Indoor and Outdoor Localization Technologies
- Power Line Communications and Noise
- Wireless Signal Modulation Classification
- UAV Applications and Optimization
- Microwave Engineering and Waveguides
- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Remote Sensing and LiDAR Applications
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
- Software Testing and Debugging Techniques
- Date Palm Research Studies
- Diverse Cultural Media Analysis
- IoT-based Smart Home Systems
- Advanced Fiber Optic Sensors
- Advanced biosensing and bioanalysis techniques
- Impact of Light on Environment and Health
- Wireless Body Area Networks
- Identification and Quantification in Food
- Hand Gesture Recognition Systems
- Radio Wave Propagation Studies
Aristotle University of Thessaloniki
2020-2025
University of Western Macedonia
2022
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing optimizing 6G network applications. In this paper, we present brief summary of ML methods, as well an up-to-date review approaches wireless communication systems. These methods include supervised, unsupervised reinforcement techniques. Additionally, discuss open issues the field for networks communications general, some potential future trends to motivate further research into area.
Wireless communication systems play a very crucial role for business, commercial, health and safety applications. With the commercial deployment of fifth generation (5G), academic industrial research focuses on sixth (6G) wireless systems. Artificial Intelligence (AI) especially Machine Learning (ML), will be key component 6G Here, we present an up-to-date review future unsupervised ML techniques in them.
WI-FI-6/6E is now commercialized and the WI-FI community currently developing IEEE 802.11be standard, namely WI-FI-7, which will offer enhanced throughput higher data rate than its predecessors. In this article, a compact triple-band printed inverted-F (IF) antenna operating at 2.4 GHz, 5 6 GHz frequency bands designed for WI-FI-7 applications. We design novel structure that well-suited operation. The core idea to use stripline as feeder also couples two modified IF designs. A...
Energy consumption is a key factor in environmental sustainability and the economy. In next 30 years, global food production will need to increase rapidly and, this context, refrigeration play pivotal role. SmartFridge project, several aspects of operating cycle equipment are explored. reduction one most important use cases project. For reason, work provides an assessment three scenarios refrigerator model, which indoor temperature moisture, as well interior temperature, explored quantify...
Wireless propagation modeling is crucial for designing 5G networks and deploying base stations. Traditional models are constrained by different environments, deterministic using ray tracing demand extensive computational resources. In recent years, advances in data-driven artificial intelligence (AI) have significantly improved the fitting of intelligent systems. Using substantial measured data, we conduct a comparative study various machine learning (ML) to perform accurate regression...
In this paper, we apply different machine learning methods for the prediction of path loss in urban environment cellular communications with unmanned aerial vehicles (UAVs). We generate training set using a ray tracing technique assuming flying base station at heights within city Tripolis, Greece. produce models three learners k-Nearest Neighbors (kNN), Support Vector Regression (SVR)and Random Forest (RF). The obtained numerical results are compared original data from test dataset...
The advent of the Internet Things has allowed re-usability established techniques combined with emerging technologies. In TERMINET project, several key-enabling technologies in an IoT ecosystem are explored. smart farming paradigm is one realistic use cases which Wireless Power Transfer, assisted by Unmanned Aerial Vehicle, will be demonstrated as a proof-of-concept, to deliver energy wireless sensor networks. this work, we provide feasible solution rectifying antenna module rectenna system,...
Several Machine Learning (ML) approaches have been proposed for path loss (PL) prediction in emerging fifth generation and beyond (5G/B5G) cellular communication networks. In the domain of next-generation high-availability communications, flying ad hoc networks (FANETs), which function as clusters deployable relays or base stations on-demand extension coverage, represent a promising alternative. Thus, highly accurate is crucial FANETs deployment B5G wireless design, planning, optimization....
Visible light positioning (VLP) systems have experienced substantial revolutionary progress over the past year because they can offer great accuracy without needing any additional infrastructure, as conventional radio-frequency (RF)-based systems. Received signal strength (RSS)-based VLP are a promising approach to many indoor estimation problems, but still suffer from difficulty in providing high and reliability. A potential solution these challenges is combine systems, machine learning...
Enabling high mobility in millimeter-wave (mmWave) systems is crucial for next-generation wireless communication systems. Challenges arise applications such as vehicular communications and virtual/augmented reality. MmWave grapple with concerns related to narrow beams, signal vulnerability obstructions that affect coverage, the necessity frequent handovers. Additionally, identifying optimal beamforming vectors large antenna array mmWave involves substantial training overhead, impacting...
Autonomous driving will reshape transportation networks, offering at the same time many benefits such as safety, reliable vehicle-to-vehicle communication, and extended telecommunications. For a self-driving vehicle to navigate freely perceive its environment, it is necessary be equipped with sensors. Automotive radars antenna arrays that operate 76–81 GHz have been proposed key elements in future autonomous vehicles. In this work, an aperture-coupled bowtie designed utilizing hunger games...
Wireless channel propagation characteristics are crucial for wireless network systems. The accuracy of the path loss (PL) prediction determines quality received signal and optimization communication networks.In this paper, we apply compare various machine learning (ML) boosting methods in cellular communications using a flying base station (FBS). We use ray tracing technique to obtain dataset training process models. work at hand generates models, based on five different ML learners...
Millimeter-wave (mm-wave) and terahertz (THz) communication systems can satisfy the high data rate requirements in 5G, 6G, beyond networks, but still rely on use of extensive antenna arrays to guarantee sufficient received signal strength. Many antennas incur beam training overhead; thus, narrow beams require adjustment support highly mobile applications. Deep learning (DL) vision-aided solutions potentially forecast optimal beams, leveraging raw RGB images captured at base station. Image...
In recent years, the adoption of internet-connected devices has experienced a remarkable surge, fundamentally transforming our everyday routines. Nevertheless, this rapid expansion also captured interest cybercriminals, resulting in notable rise both quantity and complexity attacks aimed specifically at these devices. work, network intrusion detection system (NIDS) is developed, related to information systems security/cyber security. context, various machine learning (ML) methods are...