5G evolution: 3GPP Releases 16 &amp; 17 Overview

Peisa, Janne; Persson, Per‐Olof; Dahlman, Erik; Grövlen, Asbjörn; Hoymann, C.; Gerstenberger, Dirk

doi:10.23919/etr.2020.9904659

Cited by 41 publications

(12 citation statements)

References 1 publication

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“…Release 16 focuses on very low latency and improved reliability by increasing the monitoring frequency of the control channel. Tese features are crucial for use cases that require communication between multiple services, such as factory automation, power distribution, and the transportation industry [18,19]. Meanwhile, Release 17 is designed to support use cases with high mobile data trafc and NR customization demanded by, e.g., automotive, logistics, and media [18].…”

Section: Related Work: Part 1-the Role Of 5g Technologymentioning

confidence: 99%

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Palacios-Morocho,

Inca,

Monserrat

2024

Mobile Information Systems

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Fifth-generation (5G) technology is one of the keys to the Industrial Revolution known as Industry 4.0 as it provides faster connectivity and allows a greater number of devices to be connected simultaneously. In the transport sector, newly produced vehicles are equipped with various sensors and applications to help drivers perform safe maneuvers. However, moving from semiautonomous to fully autonomous vehicles to cooperating systems remains a major challenge. Many researchers have focused on artificial intelligence (AI) techniques and the ability to share information to achieve this cooperative behavior. This information can be made up of different data, which can be obtained from different sensors such as laser imaging detection and ranging (LiDAR), radar, camera, global positioning system (GPS), or data related to the current speed, acceleration, or position. The combination of the different shared data is performed depending on the approach of each navigation algorithm. This data fusion will allow a better understanding of the environment but will overload the network, as the traffic generated will be massive. Therefore, this paper addresses the challenge of achieving this cooperation between vehicles from the point of view of network requirements and computational capacity. In addition, this study contributes to advancing theory into real-world practice by examining the performance of cooperative navigation algorithms in the midst of the migration of computational resources from onboard vehicle equipment to the cloud. In particular, it investigates the transition from a cooperative navigation algorithm based on a decentralized architecture to a semidecentralized one as computationally demanding processes previously performed onboard are performed in the cloud. Additionally, the paper discusses the indispensable role of 5G in fulfilling the escalating demands for high throughput and low latency in these services, particularly as the number of vehicles increases. The results of the tests show that the AI acting alone cannot achieve optimal performance, even using 100% of the computational capacity of the onboard equipment in the vehicle. However, a system that integrates 5G and AI-based joint decisions can achieve better performance, reduce the computational resources consumed in the vehicle, and increase the efficiency of collaborative choices by up to 83.3%.

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Section: Related Work: Part 1-the Role Of 5g Technologymentioning

confidence: 99%

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Palacios-Morocho,

Inca,

Monserrat

2024

Mobile Information Systems

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“…The evolution that has taken place in recent years in communications systems has given new impetus to the rethinking of such systems both in the public sector as well as through the experimentation of new business models. Indeed, the support of public safety applications is among the objectives of 3GPP Rel.17 [17]. The reasons for the failure in the evolution of traditional public safety networks are mainly due to the need for the use of dedicated infrastructures characterized by high costs, which prevented the densification and the enhancement of such systems.…”

Section: Shm Supporting Urban Safety Systemmentioning

confidence: 99%

What Can 5G Do for Public Safety? Structural Health Monitoring and Earthquake Early Warning Scenarios

Franchi

Marotta

Rinaldi

et al. 2022

Sensors

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The 5th generation of mobile networks has come to the market bringing the promise of disruptive performances as low latency, availability and reliability, imposing the development of the so-called “killer applications”. This contribution presents a 5G use case in the context of Structural Health Monitoring which guarantees an unprecedented level of reliability when exploited for public safety purposes as Earthquake Early Warning. The interest on this topic is at first justified through a deep market analysis, and subsequently declined in terms of public safety benefits. A specific sensor board, guaranteeing real-time processing and 5G connectivity, is presented as the foundation on which the architecture of the network is designed and developed. Advantages of 5G-enabled urban safety are then discussed and proven in the experimentation results, showing that the proposed architecture guarantees lower latency delays and overcome the impairments of cloud solutions especially in terms of delays variability.

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“…In June 2018, the 15th edition of the 3GPP standard for 5G New Radio (NR) standalone mode was completed [22]. Further evolution of the 5G standard described in 3GPP Release 16 [23], this specification contains several significant extensions and enhancements, and further improvements were made in Release 17 [24,25] and Release 18 [26]. 5G holds the promise of multi-functional support through different heterogeneous services, addressing parameters such as data rate, latency, and the number of connected devices.…”

Section: Introductionmentioning

confidence: 99%

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

TRABELSI,

GONTARA,

BOUGHARRIOU

et al. 2024

Preprint

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The explosive growth of Internet of Things (IoT) applications has driven the development of specialized communication technologies to cater to diverse device needs. Narrowband IoT (NB-IoT) is a promising low-power wide-area network (LPWAN) technology designed to support massive machine-type communication (MTC) with tolerant delay transmission. However, MTC presents new challenges for NB-IoT, especially in meeting the very low latency and high reliability requirements. It is important to understand which techniques, such as scheduling and resource allocation, enable low-delay applications to meet their goals. To accomplish these tasks, this paper uses realistic simulations within a variety of traffic scenarios, focusing on scheduling uplink data and resource allocation management. We discuss (1) the components contributing to the Quality of Service (QoS) for NB-IoT devices, (2) evaluate the performance of prioritized scheduling schemes and resource unit (RU) configuration for uplink transmission modes, point out potential improvements to reduce the latency for delay-sensitive devices, and (3) implement and evaluate a novel hybrid scheduling solution called the Gap Aware Hybrid Scheduling (GAHUS) Algorithm. We have developed a solution to enhance network efficiency and prioritize sensitive-delay devices to meet their QoS requirements. Using methods like simulations, comparisons, and performance evaluations, we have demonstrated the effectiveness of our approach in assigning free resource gaps created during long uplink transmissions. GAHUS enables handling massive MTC traffic while ensuring reliable performance for delay-sensitive devices by minimizing rejections and delays.

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5G evolution: 3GPP Releases 16 & 17 Overview

Cited by 41 publications

References 1 publication

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

What Can 5G Do for Public Safety? Structural Health Monitoring and Earthquake Early Warning Scenarios

Advancing NB-IoT Communication: Performance Analysis and Novel Gap-Aware Hybrid Scheduling for Delay-Sensitive Devices

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