scholarly journals 5G Numerologies Assessment for URLLC in Industrial Communications

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2489
Author(s):  
David Segura ◽  
Emil J. Khatib ◽  
Jorge Munilla ◽  
Raquel Barco

The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. Ultra-Reliable and Low Latency Communications (URLLC) is the 5G service category used by critical mechanisms, with a millisecond end-to-end delay and reduced probability of failure. 5G defines new numerologies, together with mini-slots for a faster scheduling. The main challenge of this is to select the appropriate numerology according to radio conditions. This fact is very important in industrial scenarios, where the fundamental problems are interference and multipath propagation, due to the presence of concrete walls and large metallic machinery and structures. Therefore, this paper is focused on analyzing the impact of the numerology selection on the delay experienced at radio link level for a remote-control service. The study, which has been carried out in a simulated cellular factory environment, has been performed for different packet sizes and channel conditions, focusing on outliers. Evaluation results show that not always a higher numerology, with a shorter slot duration, is appropriate for this type of service, particularly under Non-Line-of-Sight (NLOS) conditions.

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5202
Author(s):  
Wasan Kadhim Saad ◽  
Ibraheem Shayea ◽  
Bashar J. Hamza ◽  
Hafizal Mohamad ◽  
Yousef Ibrahim Daradkeh ◽  
...  

The massive growth of mobile users will spread to significant numbers of small cells for the Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network. A tremendous increase in handover (HO) scenarios and HO rates will occur. Ensuring stable and reliable connection through the mobility of user equipment (UE) will become a major problem in future mobile networks. This problem will be magnified with the use of suboptimal handover control parameter (HCP) settings, which can be configured manually or automatically. Therefore, the aim of this study is to investigate the impact of different HCP settings on the performance of 5G network. Several system scenarios are proposed and investigated based on different HCP settings and mobile speed scenarios. The different mobile speeds are expected to demonstrate the influence of many proposed system scenarios on 5G network execution. We conducted simulations utilizing MATLAB software and its related tools. Evaluation comparisons were performed in terms of handover probability (HOP), ping-pong handover probability (PPHP) and outage probability (OP). The 5G network framework has been employed to evaluate the proposed system scenarios used. The simulation results reveal that there is a trade-off in the results obtained from various systems. The use of lower HCP settings provides noticeable enhancements compared to higher HCP settings in terms of OP. Simultaneously, the use of lower HCP settings provides noticeable drawbacks compared to higher HCP settings in terms of high PPHP for all scenarios of mobile speed. The simulation results show that medium HCP settings may be the acceptable solution if one of these systems is applied. This study emphasises the application of automatic self-optimisation (ASO) functions as the best solution that considers user experience.


2020 ◽  
Vol 10 (4) ◽  
pp. 1354 ◽  
Author(s):  
Abdulraqeb Alhammadi ◽  
Mardeni Roslee ◽  
Mohamad Yusoff Alias ◽  
Ibraheem Shayea ◽  
Abdullah Alquhali

The fifth generation (5G) network is an upcoming standard for wireless communications that coexists with the current 4G network to increase the throughput. The deployment of ultra-dense small cells (UDSC) over a macro-cell layer yields multi-tier networks, which are known as heterogeneous networks (HetNets). HetNets play a key role in the cellular network to provide services to numerous users. However, the number of handovers (HOs) and radio link failure (RLF) greatly increase due to the increase in the UDSC in the network. Therefore, mobility management becomes a very important function in a self-organizing network to improve the system performance. In this paper, we propose a velocity-based self-optimization algorithm to adjust the HO control parameters in 4G/5G networks. The proposed algorithm utilizes the user’s received power and speed to adjust the HO margin and the time to trigger during the user’s mobility in the network. Simulation results demonstrate that the proposed algorithm achieves a remarkable reduction in the rate of ping-pong HOs and RLF compared with other existing algorithms, thereby outperforming such algorithms by an average of more than 70% for all HO performance metrics.


Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 587
Author(s):  
David Segura ◽  
Emil J. Khatib ◽  
Raquel Barco

The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. To comply with critical messages, 5G offers the Ultra-Reliable and Low latency Communications (URLLC) service category with a millisecond end-to-end delay and reduced probability of failure. There are several approaches to achieve these requirements; however, these come at a cost in terms of redundancy, particularly the solutions based on multi-connectivity, such as Packet Duplication (PD). Specifically, this paper proposes a Machine Learning (ML) method to predict whether PD is required at a specific data transmission to successfully send a URLLC message. This paper is focused on reducing the resource usage with respect to pure static PD. The concept was evaluated on a 5G simulator, comparing between single connection, static PD and PD with the proposed prediction model. The evaluation results show that the prediction model reduced the number of packets sent with PD by 81% while maintaining the same level of latency as a static PD technique, which derives from a more efficient usage of the network resources.


2018 ◽  
Vol 10 (10) ◽  
pp. 3626 ◽  
Author(s):  
Yousaf Zikria ◽  
Sung Kim ◽  
Muhammad Afzal ◽  
Haoxiang Wang ◽  
Mubashir Rehmani

The Fifth generation (5G) network is projected to support large amount of data traffic and massive number of wireless connections. Different data traffic has different Quality of Service (QoS) requirements. 5G mobile network aims to address the limitations of previous cellular standards (i.e., 2G/3G/4G) and be a prospective key enabler for future Internet of Things (IoT). 5G networks support a wide range of applications such as smart home, autonomous driving, drone operations, health and mission critical applications, Industrial IoT (IIoT), and entertainment and multimedia. Based on end users’ experience, several 5G services are categorized into immersive 5G services, intelligent 5G services, omnipresent 5G services, autonomous 5G services, and public 5G services. In this paper, we present a brief overview of 5G technical scenarios. We then provide a brief overview of accepted papers in our Special Issue on 5G mobile services and scenarios. Finally, we conclude this paper.


2021 ◽  
pp. 096739112110233
Author(s):  
Mohammad Hassan Shojaeefard ◽  
Abolfazl Khalkhali ◽  
Sharif Khakshournia

It has been demonstrated that adding a few percent of nanoscale reinforcements, leads to remarkable improvement in mechanical properties of the polymers such as stiffness, damping, and energy absorption. These lightweight materials are attractive substitutes for the heavy metallic structural parts in the automotive, military, aerospace and many other industries. However, due to complexity of these multiphase materials, accurate modeling of their behavior in real loading cases is still ambiguous. The impact simulation is a vital step in design procedure of a vehicle, where a strain rate-dependent model of its components is required. In this paper, an elasto-viscoplastic modeling procedure of the polymer-based nanocomposites, assuming the elastic behavior of the nano-phase is presented; whereas the polymeric matrix deformation is dependent to the loading rate and is characterized by the method of Genetic algorithm optimization-based fitting to the experimental observations. By introducing a modified Halpin-Tsai method, the nanocomposite is then modeled as a homogenized material where the modification algorithm is the main challenge. A combination of approaches including parametric analysis, central composite design of experiments and response surface method is proposed to modify the tangent modulus of the polymeric matrix to be passed as the input to the Halpin-Tsai equations. Finally, the procedure is implemented to a set of epoxy-GNP nanocomposites under unidirectional compressive loads with different rates and the stress-strain curves are predicted with a decent precision.


2021 ◽  
Vol 10 (2) ◽  
pp. 94
Author(s):  
Andreas Tsatsaris ◽  
Kleomenis Kalogeropoulos ◽  
Nikolaos Stathopoulos ◽  
Panagiota Louka ◽  
Konstantinos Tsanakas ◽  
...  

Human activities and climate change constitute the contemporary catalyst for natural processes and their impacts, i.e., geo-environmental hazards. Globally, natural catastrophic phenomena and hazards, such as drought, soil erosion, quantitative and qualitative degradation of groundwater, frost, flooding, sea level rise, etc., are intensified by anthropogenic factors. Thus, they present rapid increase in intensity, frequency of occurrence, spatial density, and significant spread of the areas of occurrence. The impact of these phenomena is devastating to human life and to global economies, private holdings, infrastructure, etc., while in a wider context it has a very negative effect on the social, environmental, and economic status of the affected region. Geospatial technologies including Geographic Information Systems, Remote Sensing—Earth Observation as well as related spatial data analysis tools, models, databases, contribute nowadays significantly in predicting, preventing, researching, addressing, rehabilitating, and managing these phenomena and their effects. This review attempts to mark the most devastating geo-hazards from the view of environmental monitoring, covering the state of the art in the use of geospatial technologies in that respect. It also defines the main challenge of this new era which is nothing more than the fictitious exploitation of the information produced by the environmental monitoring so that the necessary policies are taken in the direction of a sustainable future. The review highlights the potential and increasing added value of geographic information as a means to support environmental monitoring in the face of climate change. The growth in geographic information seems to be rapidly accelerated due to the technological and scientific developments that will continue with exponential progress in the years to come. Nonetheless, as it is also highlighted in this review continuous monitoring of the environment is subject to an interdisciplinary approach and contains an amount of actions that cover both the development of natural phenomena and their catastrophic effects mostly due to climate change.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1387
Author(s):  
Oswaldo Sebastian Peñaherrera-Pulla ◽  
Carlos Baena ◽  
Sergio Fortes ◽  
Eduardo Baena ◽  
Raquel Barco

Cloud Gaming is a cutting-edge paradigm in the video game provision where the graphics rendering and logic are computed in the cloud. This allows a user’s thin client systems with much more limited capabilities to offer a comparable experience with traditional local and online gaming but using reduced hardware requirements. In contrast, this approach stresses the communication networks between the client and the cloud. In this context, it is necessary to know how to configure the network in order to provide service with the best quality. To that end, the present work defines a novel framework for Cloud Gaming performance evaluation. This system is implemented in a real testbed and evaluates the Cloud Gaming approach for different transport networks (Ethernet, WiFi, and LTE (Long Term Evolution)) and scenarios, automating the acquisition of the gaming metrics. From this, the impact on the overall gaming experience is analyzed identifying the main parameters involved in its performance. Hence, the future lines for Cloud Gaming QoE-based (Quality of Experience) optimization are established, this way being of configuration, a trendy paradigm in the new-generation networks, such as 4G and 5G (Fourth and Fifth Generation of Mobile Networks).


2020 ◽  
Vol 41 (S1) ◽  
pp. s259-s260
Author(s):  
Rafaela Pinho ◽  
Luciana Tanure ◽  
Jussara Pessoa ◽  
Leonardo Santos ◽  
Braulio Couto ◽  
...  

Background: Ventilator-associated lower respiratory infections (LRIs) and pneumonia (VAP) are important healthcare-associated infections and are among the leading causes of death worldwide. Prevention of these infections are often based on care bundles. We investigated the incidence of VAP+LRI and the preventive efficacy of each component of our ventilator bundle. Methods: Our ventilator bundle includes 6 components that are daily checked by an infection control practitioner. These 6 evidence-based practices were implemented in 3 ICUs from a general tertiary-care private hospital in Belo Horizonte City (Brazil): (1) daily oral care with chlorhexidine; (2) elevate the head of the bed to between 30 and 45; (3) avoid scheduled ventilator circuit change; (4) monitor cuff pressure; (5) use subglottic secretion drainage; and (6) daily sedation interruption and daily assessment of readiness to extubate. VAP and ventilator-LRI definitions were obtained from the CDC NHSN. The impact of adherence rate to items in the ventilator bundle (%) on the incidence rate of VAP+LRI was assessed using linear regression and scatterplot analyses. Results: Between January 2018 and April 2019, 1,888 ventilator days were observed in the 3 ICUs, with 42 VAP and LRI events, an overall incidence rate of 22.2 cases per 1,000 ventilator days. After September 2018, the infection control service started a campaign to increase the ventilator bundle compliance (Fig. 1). Adherence rates to all 6 bundle components increased between January–August 2018 and September 2018–April 2019 from 25% to 55% for daily oral care, from 34% to 79% for elevating the head of the bed, 28% to 86% for avoiding scheduled ventilator circuit change, from 32% to 83% for cuff pressure monitoring, from 32% to 83% for subglottic secretion drainage, and from 33% to 85% for daily sedation interruption. PAV and LRI incidence decreased from 41 to 16 in ICU A, from 22 to 14 in ICU B and from 24 to 18 in ICU C. The impact of each bundle component was identified by linear regression, calculating the percentage of PAV+LRI incidence rate that is explained by bundle item adherence (r2) and correlation coefficient (r): daily sedation interruption (r2 = 48%; r = 0.69; P = .004) (Fig. 2), cuff pressure monitorization (r2 = 0.3721; r = 0.61; P = .016), subglottic secretion drainage (r2 = 36%; r = 0.60; P = .017), avoidance of scheduled ventilator circuit change (r2 = 34%; r = 0.58; P = .023), daily oral care (r2 = 25%; r = 0.50; P = .050), and elevate the head of the bed (r2 = 25%; r = 0.48; P = .067). Conclusions: The impact of each bundle component on preventing PAV+LRI was identified by the study. An educational intervention performed by the infection control service increased the adherence to the ventilator bundle, and the PAV and LRI incidence decreased.Funding: NoneDisclosures: None


LastMile ◽  
2021 ◽  
Vol 98 (6) ◽  
Author(s):  
A. Ivashkin

Today, many countries around the world are actively building fifth generation mobile networks (5G/IMT-2020). The magazine Last Mile asked the director of the Republican unitary enterprise for supervision on telecommunications "BelGIE" of the Republic of Belarus (hereinafter: State Enterprise "BelGIE") A.A. Ivashkin about the situation with the implementation of the 5G network in the Republic of Belarus.


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