Maritime activities represent a major domain of economic growth with several emerging maritime Internet Things use cases, such as smart ports, autonomous navigation, and ocean monitoring systems. The enabler for this exciting ecosystem is the provision broadband, low-delay, reliable wireless coverage to ever-increasing number vessels, buoys, platforms, sensors, actuators. Towards end, integration unmanned aerial vehicles (UAVs) in communications introduces an dimension connectivity going...

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets information technology (IT) systems are used in data-driven analytics efforts support informed business intelligence decisions. However, these results currently only isolated dispersed parts production process. At same time, full integration artificial (AI) all is lacking. In this context, goal manuscript present a...

Driven by the emerging trend for transparent, open and programmable communications, Open Radio Access Network (O-RAN) constitutes dominant architectural approach deploying future wireless networks. Towards standardizing specifying building blocks principles of O-RAN, a coordinated global effort has been observed, mainly comprised O-RAN Alliance, operators several research activities. This paper presents aspects current status deployments, integrating both existing ongoing activities from...

In this survey, a comprehensive study is provided, regarding the use of machine learning (ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) wireless cellular networks. The ever-increasing user requirements, their diverse nature terms performance metrics various novel technologies, such as millimeter wave transmission, massive multiple-input-multiple-output configurations non-orthogonal multiple access, render multi-constraint radio (RRM) problem....

The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal various emerging challenges, such as integration heterogeneous technologies and devices, well support latency bandwidth demanding applications. In complex environment, resource optimization, security privacy enhancement can be quite demanding, due the vast diverse data generation endpoints associated hardware elements. Therefore, efficient collection mechanisms are...

Ιn this review article, a comprehensive study is provided regarding the latest achievements in simulation techniques and platforms for fifth generation (5G) wireless cellular networks. In context, calculation of set diverse performance metrics, such as achievable throughput uplink downlink, mean Bit Error Rate, number active users, outage probability, handover rate, delay, latency, etc., can be computationally demanding task due to various parameters that should incorporated system link...

The goal of the study presented in this article is to provide a general overview various aspects related electric vehicles (EVs), along with all associated emerging challenges and perspectives. In context, basic types EVs corresponding charging technologies are analyzed. Since expected be key component future smart electrical grids (SEG), connection grid issues, advanced techniques (i.e., wireless power transfer), analyzed as well. To end, main features, requirements vehicle (V2G)...

The provision of high data rate services to mobile users combined with improved quality experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation fifth generation (5G) broadband wireless networks. To this end, a dynamic network approach is adopted whereby topology configured according service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred as non-public networks...

Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora nodes and data. In this paper, an overview the area hybrid clouds considering relevant research areas is given, providing technologies mechanisms for formation such MEC deployments, well emphasizing several key issues that should be tackled by novel approaches, especially under 5G paradigm. Furthermore, decentralized...

The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled the support highly demanding applications, paving way towards global connectivity. In same context, related advances in network infrastructure, such as function virtualization via decoupling functionalities from hardware equipment leveraged end-to-end service heterogeneous environments. To this end, uninterrupted provision necessitates a holistic redesign where access points (APs) should be placed and...

Smart homes, powered mostly by Internet of Things (IoT) devices, have become very popular nowadays due to their ability provide a holistic approach towards effective energy management. This is made feasible via the deployment multiple sensors, which enables predicting consumption machine learning approaches. In this work, we propose FedTime, novel federated for smart home takes into consideration age time series datasets each client. The proposed method based on averaging but aggregates...

The rapid growth in the number of interconnected devices on Internet (referred to as Things—IoT), along with huge volume data that are exchanged and processed, has created a new landscape network design operation. Due limited battery size computational capabilities IoT nodes, processing usually takes place external devices. Since latency minimization is key concept modern-era networks, edge servers close proximity nodes gather process related data, while some cases offloading cloud might...

The evolution towards sixth-generation (6G) networks requires new architecture enhancements to support the broad device ecosystem, comprising users, machines, autonomous vehicles, and Internet-of-things devices. Moreover, high heterogeneity in desired quality-of-service (QoS) is expected, as 6G will offer extremely low-latency high-throughput services error-free communication. This complex environment raises significant challenges resource management while adhering security privacy...

As the discussions on sixth generation (6G) wireless networks progress at a rapid pace, various approaches have emerged over last years regarding new architectural concepts that can support 6G vision. Therefore, goal of this work is to highlight most important technological efforts in relation definition concept. To end, primary challenges are firstly described, which be viewed as driving forces for standardization. Afterwards, novel discussed concept, such introduction artificial...

The 5G radio networks have introduced major changes in terms of service requirements and bandwidth allocation compared to cellular date hence, they made the fundamental planning problem even more complex. In this work, focus is on providing a generic analysis for with help proper multi-objective optimization algorithm that considers main constraints coverage, capacity cost high-capacity scenarios range from dense ultra-dense mmWave standalone small-cell network deployments. results produced...

The goal of this paper is to evaluate the performance an adaptive beamforming approach in fifth-generation millimeter-wave multicellular networks, where massive multiple-input multiple-output configurations are employed all active base stations considered orientations. In context, performed with help a predefined set that can deal various traffic scenarios by properly generating highly directional beams on demand. parallel, machine learning (ML) based k-nearest neighbors (<i>k</i>-NN)...

&lt;p&gt;Maritime transportation is vital for economic growth, since it responsible the vast majority of global trade. However, optimizing maritime transportation, focusing on certain performance metrics may lead to non-convex problems due large number and heterogeneity network nodes vessels. Furthermore, harsh propagation environment, long distances might be prohibitive implementation conventional optimization. Machine learning (ML) represents a viable way towards complexity minimization...

The rapid growth in the number of interconnected devices on Internet (referred to as Things &amp;ndash; IoT), along with huge volume data that are exchanged and processed, has created a new landscape network design operation. Due limited battery size computational capabilities IoT nodes, processing usually takes place external devices. Since latency minimization is key concept modern era networks, edge servers close proximity nodes gather process related data, while some cases offloading...

The goal of this paper is to demonstrate the implementation technological solutions that will enable optimization 5G network resources and services in an automated self-configured manner. At first, practical intelligence loops architecture presented, according O-RAN specifications. Then, development open source, general-purpose simulator, compliant with 3GPP specifications for generating physical-layer measurement reports from radio access while its functional logic configuration...

Maritime transportation is crucial for global trade and responsible the majority of goods movement worldwide. The optimization maritime operations challenged by complexity heterogeneity nodes. This paper presents emerging deployment federated learning (FL) in environments to address these challenges. FL enables decentralized machine model training, ensuring data privacy security while overcoming issues associated with non-i.i.d. data. explores various use cases, including fuel consumption...

Power allocation is strongly related to the coverage and capacity of wireless networks, playing a critical role in development 5G networks. This paper proposes Demand-Driven Allocation (DDPA) algorithm aiming fulfill requested throughput individual users accommodate their needs. DDPA based on model-free Deep Reinforcement Learning (DRL) approaches has ability proactively adjust power levels network transmitters. The performance developed evaluated for variety simulation parameters variable...

The goal of this paper is the performance evaluation a deep learning approach when deployed in fifth-generation (5G) millimeter wave (mmWave) multicellular networks. To end, optimum beamforming configuration defined by two neural networks (NNs) that are properly trained, according to mean square error (MSE) minimization. first network has as input requested spectral efficiency (SE) per active sector, while second corresponding energy (EE). Hence, channel and power variations can now be taken...

An approach based on acoustics and its theoretical analogies to electromagnetism is used in the present research study detection of acoustic wave energy radiated by thermal random motion material particles brain during activation or caused pathology. Pressure particle velocity are calculated analytical mathematical forms for case human monitoring, which can be implemented a prototype passive monitoring system (PABMOS). A sphere model head an internal point source order simulate potential...

Phased array antennas are a viable solution to number of problems related radio communications applications. In this work, the multi-objective stochastic MOPSO algorithm is used optimize spatial conflguration symmetric phased linear array. The deflned optimization goals were suppression radiation pattern sidelobes at specifled maximum scan angle as well minimization induced voltages correlation receiver front- end in order maximize diversity performance. Non-linear constraints enforced on...

Hardware complexity reduction is a key concept towards the design and implementation of next generation broadband wireless networks. To this end, goal study presented in paper to evaluate performance an adaptive hybrid analog-digital beamforming approach fifth-generation (5G) massive multiple input output (MIMO) millimeter wave (mmWave) cellular orientations. In context, generated beams are formed dynamically according traffic demands, via on-off analog activation radiating elements per...