scholarly journals An Enhanced Replica Selection Approach Based on Distance Constraint in ICN

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 490
Author(s):  
Yaqin Song ◽  
Hong Ni ◽  
Xiaoyong Zhu
Keyword(s):  
The State ◽  
Low Latency ◽  
Distance Constraint ◽  
5G Networks ◽  
State Table ◽  
Network Distance ◽  
Fifth Generation ◽  
Resolution System ◽  
Replica Selection ◽  
Selection Approach

Fifth generation (5G) networks have a high requirement for low latency of data delivery. Information-centric networking (ICN) adopts the paradigm of separation of the identifier and locator. It is efficient in content distribution by supporting in-network caching and has the potential to satisfy the low latency requirement in 5G. Replica selection is a key problem to retrieving content in ICN. Prior research usually utilizes the nearest replica. However, using the nearest replica cannot guarantee the smallest content download delay. To exploit in-network caching better, we propose an enhanced replica selection approach, called ERS. ERS first uses a distance-constrained-based name resolution system to discover the nearby replicas. Then, the most appropriate replica is chosen according to a local state table that maintains the state of replica nodes within a limited domain. In addition to network distance and replica node load, ERS innovatively introduces the path congestion degree between requester and replica nodes to assist replica selection. With extensive simulations, the proposed approach shows better performance than the state-of-the-art methods in terms of average content download delay. Finally, the overhead of the proposed method is analyzed.

MATCHING DIFFICULTIES: BELARUS IS PREPARING TO THE 5G NETWORKS DEPLOYMENT

LastMile ◽  
2021 ◽  
Vol 98 (6) ◽  
Author(s):  
A. Ivashkin
Keyword(s):  
Mobile Networks ◽  
State Enterprise ◽  
5G Networks ◽  
Fifth Generation ◽  
Last Mile ◽  
5G Network ◽  
The World ◽  
The Republic

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.

scholarly journals A Techno-Economic Assessment of 5G Networks with Passive Optical Network-Based Mobile Backhaul and Hybrid Fiber-Copper Fronthaul

2019 ◽  
Author(s):  
André Fernandes ◽  
Fabricio De Souza Farias ◽  
Aline Ohashi ◽  
Marcos Oliveira ◽  
João Crisostomo Weyl Albuquerque Costa
Keyword(s):  
Cellular Networks ◽  
Optical Network ◽  
Economic Assessment ◽  
Passive Optical Network ◽  
5G Networks ◽  
Hybrid Fiber ◽  
Fifth Generation ◽  
Industrial Sectors ◽  
Mobile Backhaul

Fifth generation (5G) cellular networks will be the key element of a society that is becoming increasingly interconnected and digitalized. Applications adopted in many social and industrial sectors will require from 5G networks higher standards of availability and reliability. These requirements are leading operators to plan the deployment of protection schemes in the backhaul layer. In this context, our aim is to employ simulation to assess in a technical and economic way different backhaul protection schemes based on passive optical network (PON). The results indicate that the use of protection can increase the viability of 5G networks based on a PON backhaul supporting a hybrid fronthaul with fiber and copper.

Deep Learning Model for Imbalanced Multi-label Surface Defect Classification

2021 ◽  
Author(s):  
Yang Liu ◽  
Yachao Yuan ◽  
Jing Liu
Keyword(s):  
Deep Learning ◽  
Surface Defect ◽  
State Of The Art ◽  
Steel Production ◽  
Learning Model ◽  
The State ◽  
Low Latency ◽  
Defect Classification ◽  
Key Techniques ◽  
Deep Learning Model

Abstract Automatic defect classification is vital to ensure product quality, especially for steel production. In the real world, the amount of collected samples with labels is limited due to high labor costs, and the gathered dataset is usually imbalanced, making accurate steel defect classification very challenging. In this paper, a novel deep learning model for imbalanced multi-label surface defect classification, named ImDeep, is proposed. It can be deployed easily in steel production lines to identify different defect types on the steel's surface. ImDeep incorporates three key techniques, i.e., Imbalanced Sampler, Fussy-FusionNet, and Transfer Learning. It improves the model's classification performance with multi-label and reduces the model's complexity over small datasets with low latency. The performance of different fusion strategies and three key techniques of ImDeep is verified. Simulation results prove that ImDeep accomplishes better performance than the state-of-the-art over the public dataset with varied sizes. Specifically, ImDeep achieves about 97% accuracy of steel surface defect classification over a small imbalanced dataset with a low latency, which improves about 10% compared with that of the state-of-the-art.

Application of Fuzzy Logic for Slice QoS in 5G Networks

2021 ◽  
Vol 12 (2) ◽  
pp. 18-35
Author(s):  
Phudit Ampririt ◽  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Additional Parameter ◽  
Software Defined Network ◽  
5G Networks ◽  
Network Slicing ◽  
Fifth Generation ◽  
5G Network ◽  
Simulation Results ◽  
Qos Performance

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.

Technological Trends for 5G Networks Influence of E-Health and IoT Applications

2021 ◽  
pp. 876-900
Author(s):  
Jose Marcos C. Brito
Keyword(s):  
Mobile Communications ◽  
5G Networks ◽  
Communications Networks ◽  
Iot Applications ◽  
Performance Requirements ◽  
Fifth Generation ◽  
Data Rates ◽  
Standardization Process ◽  
New Applications ◽  
New Generation

The fifth generation of mobile communications networks (5G) is currently in the standardization process, which is expected to be completed in 2020. For this new generation, new applications and scenarios are imposing new performance requirements in addition to higher data rates. Specifically, the Internet of Things (IoT) and e-health applications have very important economic roles in 5G networks and define particular performance requirements that must be considered when defining the technologies for 5G networks. In this paper, the author discusses the influence of e-health and IoT applications on the technological trends for 5G networks.

Technological Trends for 5G Networks Influence of E-Health and IoT Applications

2018 ◽  
Vol 9 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Jose Marcos C. Brito
Keyword(s):  
Mobile Communications ◽  
5G Networks ◽  
Communications Networks ◽  
Iot Applications ◽  
Performance Requirements ◽  
Fifth Generation ◽  
Data Rates ◽  
Standardization Process ◽  
New Applications ◽  
New Generation

The fifth generation of mobile communications networks (5G) is currently in the standardization process, which is expected to be completed in 2020. For this new generation, new applications and scenarios are imposing new performance requirements in addition to higher data rates. Specifically, the Internet of Things (IoT) and e-health applications have very important economic roles in 5G networks and define particular performance requirements that must be considered when defining the technologies for 5G networks. In this paper, the author discusses the influence of e-health and IoT applications on the technological trends for 5G networks.

scholarly journals Novel Wake-up Scheme for Energy-Efficient Low-Latency Mobile Devices in 5G Networks

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Soheil Rostami ◽  
Kari Heiska ◽  
Oleksandr Puchko ◽  
Kari Leppanen ◽  
Mikko Valkama
Keyword(s):  
Mobile Devices ◽  
Energy Efficient ◽  
Low Latency ◽  
5G Networks
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